Use-case register
Every published entry, filterable by sector, AI capability and where the system runs. Each one names the organisation behind it wherever the source does.
Ophelos uses reinforcement learning and NLP to modernize debt collection
Ophelos, a debt-collection technology company, built the Ophelos Decision Engine, a fully automated ML-powered outbound communication strategy using reinforcement learning to send the best message to each customer at the right time to help resolve their debt, on the Databricks Data + AI Platform with MLflow and Feature Store. It also built OLIVE (Ophelos Linguistic Identification of Vulnerability), an NLP model served via MLflow that scans inbound customer communications to identify people in vulnerable situations. The Decision Engine drove a 25% increase in customers resolving their debts, with 88.3% of customers self-served and 89% rating their experience 4 or 5 stars.
OphelosDelta Lake · MLflow · Databricks Photon +1
Relay42 predicts customer conversion likelihood to power personalized journeys
Relay42, a Customer Data Platform (CDP), uses customer data on the Databricks Data + AI Platform to predict how likely a shopper is to convert; the prediction feeds a decision engine based on anonymized PII to build customer profiles that inform next-best-action messaging. For example, a major Singapore telecommunications client uses this to determine what messages to send shoppers researching phone plans and when. The migration from Hadoop/Cassandra to Databricks cut time to deliver complete customer data from 20-24 hours to 1.5 hours and real-time analytics from 8 hours to about 15 minutes, saving over €180K/year in storage costs.
Relay42Delta LakeCANAL+ Group Builds Gender Equality Monitoring AI Framework and Generative AI Chatbot on AWS
CANAL+ Group built an "AI Factory" on AWS to accelerate AI-driven solutions, including the Gender Equality Monitoring (GEM) framework, which uses Amazon SageMaker, Amazon Rekognition and Amazon Transcribe to analyze speaking time, on-screen presence and topic coverage by gender across its content, and a generative AI chatbot built on Amazon Bedrock for its myCANAL platform.
SIGNAL IDUNA rolls out Gemini Enterprise to 10,000+ employees, cutting policy-document search errors 40%
SIGNAL IDUNA, a major German insurer, deployed Google Cloud's Gemini Enterprise app (internally 'Co SI') to over 10,000 employees and sales partners within six months, reaching 80% weekly active adoption. More than 100 internal AI champions built over 200 custom no-code agents in two weeks, including a message-routing agent that cut error rates by 40%. Co SI Health, built with Google Cloud, BCG and Deloitte using Document AI and Gemini models across 600+ insurance tariffs and thousands of policy documents, lets employees find answers in under 20 seconds and saw weekly usage grow 400% after the Gemini Enterprise rollout.
SIGNAL IDUNA· GermanyGemini Enterprise · Gemini Enterprise Agent Platform · Document AI +1Zavarovalnica Triglav automates customer service with Azure OpenAI chatbot
Zavarovalnica Triglav, Slovenia's leading insurance and financial group, built its own chatbot using Azure OpenAI Service (rather than a public solution, to meet data protection regulations), trained on its company knowledge base, to draft responses to customer enquiries for agent review, automatically answering around 10% of queries directly. For the remaining queries, the company built automated ticket routing using Azure OpenAI Service to read enquiry content and direct it to the right department, reducing manual intervention by about 50% for certain request types. It also automated transcription and summarization of recorded customer communications and deployed a customer-facing chatbot on its website, with a voice bot for the call center in development.
Zavarovalnica Triglav· SloveniaAzure OpenAI Service · Dynamics 365 · Azure Bot Framework +1AXA builds Secure GPT to give 140,000 employees safe generative AI access
AXA, a global insurance and asset management group with 93 million clients in 51+ countries, built AXA Secure GPT in under three months, a generative AI platform powered by Azure OpenAI Service that gives its 140,000 employees secure, GDPR-compliant access to generative AI for tasks like text generation, translation, and code generation, without data leaving AXA's dedicated cloud tenant. The platform uses Prompt Shields and AXA's own security layer on top of Microsoft's content filtering, and was rolled out first to AXA Group Operations across 14 countries with a curated library of 100+ department-specific prompts.
AXA· FranceAzure OpenAI Service · Azure AI StudioAutomating 100K+ Medical Codes for Faster Reimbursement
CodaMetrix's AI-powered Contextual Coding Automation Platform, CMX CARE, automatically translates clinical documentation into billable medical codes, processing over 300K patient encounters daily on the Databricks Data + AI Platform. The company reduced manual coding by 70%, cut coding-related denials by 60%, improved operational efficiency by 40%, and lowered AWS compute costs by 30%.
CodaMetrixDatabricks · Delta Lake · Unity Catalog +6Galene.AI Deploys a Sovereign-by-Design Conversational AI Platform on Scaleway
Galene.AI built a fully sovereign, self-hosted conversational AI platform running on Scaleway's GPU infrastructure, engineered so client data, models, and compliance remain entirely within European jurisdiction. The platform deploys as a private Kubernetes cluster, either on-premise or within a private Scaleway cloud, with all AI inference processed locally on Scaleway GPUs (from 2xL40S to H100-based configurations) rather than through external API calls. Data is encrypted in transit (TLS 1.3) and at rest (AES-256). The platform includes an agentic framework using Model Context Protocol (MCP) to connect private AI agents to internal knowledge bases and enterprise systems (CRMs, ERPs), and a built-in governance layer called Generative Shield that enforces real-time compliance across cybersecurity, ethical/legal, data protection, and output-accuracy dimensions. Scaleway's data centers are located exclusively in the EU (France, Poland, Netherlands), which the companies say eases GDPR data-residency compliance and EU AI Act compliance. Galene.AI's REST API is compatible with OpenAI's API specification.
myTomorrows Matches Patients to Clinical Trials Using AI Hosted in Europe
myTomorrows is a health tech platform that uses AI to match deidentified patient medical profiles against clinical trials and expanded access treatments not yet approved for public use. AI-based matching saves around 90 percent of the time compared to manual review by a medical professional, turning a two-hour task into about one minute. Because the platform processes health data, its large language models are hosted in Europe on AWS to comply with GDPR.
Delivering agentic AI to law firms globally using AWS with stp.one
stp.one, a Karlsruhe, Germany-based legal tech provider founded in 1993, built Legal Twin, an AI-driven platform integrated with its document management system STP Documents, using Amazon Bedrock (including Anthropic's Claude and the Titan embedding model) and Amazon Aurora PostgreSQL. Legal Twin offers six AI-powered capabilities including intelligent contract risk analysis and automated receivables processing, with responses grounded in case documents and court decisions and citations shown so lawyers can verify sources. It supports Model Context Protocol integration and lets clients with data sovereignty requirements store and process data locally, connecting on-premises storage with cloud-based processing. Certain claims that traditionally took 6-10 minutes to file can now be processed in under 30 seconds using Legal Twin, and productivity gains for users reach up to 3x at the upper end. The platform must comply with GDPR and Germany's federal code for lawyers.
stp.one· GermanyAmazon Bedrock · Anthropic Claude · Amazon Titan embedding model +2
GLBNXT delivers a sovereign AI platform powered by SUSE
GLBNXT, a Netherlands-based company launched in 2025, built a sovereign, ISO 27001-certified, NIS2-compliant AI platform on SUSE Rancher Prime and SUSE Virtualization (Rancher and Harvester), deployed on Dell and NVIDIA infrastructure. The platform lets organizations deploy enterprise AI without relying on foreign hyperscaler infrastructure, supporting EU AI Act compliance. A division of the Dutch government used the platform to build a natural-language chatbot that lets employees retrieve information across hundreds of thousands of documents. GLBNXT estimates its platform cuts AI deployment timelines from the typical 12-18 months down to 30 days (up to 18x faster), and each GLBNXT employee manages 15-20 AI agents running 24/7, driving up to a 20x boost in organizational productivity.
Independer cuts feature delivery 50% with Lakebase
Independer, the largest independent comparison platform in the Netherlands, used Databricks Lakebase to eliminate the export bottleneck between its Customer 360 data platform (built on Databricks and Unity Catalog) and the production APIs serving its website, customer service tools, and internal analytics. Because customer data had been fragmented across legacy on-premises systems, engineers previously had to write export scripts and load a separate SQL Server instance before building new features. By synchronizing gold tables directly with consuming services via Lakebase (built on PostgreSQL), Independer cut development work for new Customer 360 features by 50% and is now building GenAI agent proof-of-concepts that store state in Lakebase.
Independer· NetherlandsLakebase · Unity Catalog · Databricks Data + AI Platform +1Aizon Improves Pharmaceutical Manufacturing With Artificial Intelligence Using AWS
Aizon built a GxP-compliant AI platform on AWS to help pharmaceutical manufacturers optimize biomanufacturing processes. Using AWS IoT, AWS Lambda, and Amazon SageMaker, Aizon created digital twins of bioreactors that trigger machine learning operations for process optimization. For a multinational pharmaceutical company producing blood-plasma-based drugs, Aizon built unsupervised and supervised learning models that identified two critical process variables; optimizing them improved yield by double digits, worth potentially tens of millions of dollars. AWS also reduced Aizon's compute costs by up to 80 percent.
Plenitude builds machine learning models on Databricks to forecast energy demand and renewable production
Eni-owned energy company Plenitude, which serves 10 million households and businesses across Europe, uses statistical models and machine learning on the Databricks Data + AI Platform to forecast customer energy consumption at hourly and daily granularity, forecast wind and solar generation from its renewable asset portfolio, and run customer segmentation and propensity models across 60 implemented use cases.
PlenitudeDatabricks Data + AI Platform · Delta Lake · Unity Catalog +2Aareon builds AAVA, an AI virtual assistant integrated into its German property-management ERP, using Amazon Bedrock
Aareon, a Germany-headquartered property management software provider, integrated an AI virtual assistant called AAVA into its German ERP solution Wodis Yuneo using Amazon Bedrock. AAVA lets real estate housing company customers query documents, request information through chat, automate processes, and accelerate workflows -- including scheduling appointments between tenants and craftsmen, coding invoices, analyzing images to draft damage reports, and sorting incoming email, with both text and voice support. Aareon uses various LLMs available through Bedrock, including Anthropic's Claude models and Amazon Nova models, testing and selecting models by complexity and price performance for each use case (for example, a higher token-limit model for calculating service charges). The Bedrock deployment runs in the AWS Germany (Frankfurt) Region to help meet GDPR requirements, with customer data not used to train or improve the underlying models. The first version of AAVA was built in 4 weeks and announced to customers within 6 months, developed with support from AWS Partner Reply.
Aareon· GermanyAmazon Bedrock · Amazon Nova · Anthropic ClaudeBuilding a central data, analytics, and AI solution using AWS with Generali
Insurance and asset management group Generali built a central data, analytics and AI solution on AWS to standardize AI adoption across its more than 40 operating entities, using Amazon Redshift for the central data warehouse, AWS Glue for data-quality and transformation pipelines, Amazon SageMaker AI to automate claim settlement and predictive payout modeling, and Amazon Bedrock to power a generative AI customer-assistance agent providing instant responses. The company developed 16 flagship AI use cases spanning pricing, underwriting, claims processing and operations, deployable across operating entities via a centralized Global AI engine, while complying with GDPR and internal governance policies.
GeneraliAmazon Bedrock · Amazon SageMaker AI · Amazon Redshift +1A Journey Towards Unified Data Governance at bp
bp implemented Databricks Unity Catalog to unify data governance across data previously spread across disparate systems, migrating over 270 Databricks workspaces from two separate data hub platforms and 15 standalone instances, serving 10,000+ users across Finance ERP, Customer and Products, Production and Operations, and Enterprise business entities. The migration, run in four phased quarters, delivered centralized governance, granular row/column-level access control, and automated column-level data lineage and audit logs. bp expects the consolidation to save nearly $1 million annually plus roughly $4,000 weekly by eliminating manual Overwatch job management, and the migration unlocked Delta Sharing, SQL Serverless Warehouses, and further AI features like model serving and fine-tuning.
GoGuardian: Safer schools, empowered teachers, thriving students
GoGuardian, which powers safe, focused learning for half of U.S. K-12 students, migrated its ML infrastructure to Databricks to manage billions of daily inferences for web filtering, classroom management and harm prevention while maintaining a PII-free, COPPA/FERPA-compliant data environment. Using Delta Lake, Lakeflow, Unity Catalog, MLflow and Databricks Model Serving, GoGuardian achieved up to 50% reduction in machine learning operational costs, 90% operational cost savings with its Delphi website classification model, and a 62% reduction in inappropriate device use among students. AI-driven prioritization also cut the volume of records requiring human review for high-risk content by over 95%, from 1 million to 35,000-45,000.
GoGuardian· United StatesDelta Lake · Databricks Lakeflow · Unity Catalog +6Generali France Rides the Wave of Microsoft 365 Copilot and Agentic AI with Microsoft
Generali France rolled out Microsoft 365 Copilot, Copilot Studio, and Azure OpenAI as part of its 'Boost 2027' strategic plan. 100% of employees have access to Copilot Chat and 3,700 use Microsoft 365 Copilot, with 70% of the workforce adopting it and generating an average of fifteen prompts per user per week. About fifty agents built with Copilot Studio address specialized cases including helpdesk operations. A 24/7 voice assistant resolves nearly 1.3 million calls (30% of requests) directly, with no human intervention. Generative AI also supports home insurance subscription, compliance beneficiary searches, and claims management, where 2.1 million operations were processed by RPA robots in 2024, including automated analysis of wall cracks during drought episodes (10% needing no human intervention) and recognition of more than 15 document types. Implementation was supported by Microsoft partner Avanade.
Generali· FranceMicrosoft 365 Copilot · Copilot Studio · Azure OpenAI +1
Banking Innovator bunq Supports Growth, Strengthens Security Using AWS
bunq, a Dutch neobank with over 11 million users across Europe, uses Amazon Bedrock for several generative AI use cases including summarizing new user data with large language models, removing the need for agents to process onboarding documents manually. Using Amazon Bedrock, bunq tripled user support process efficiency while maintaining over 90 percent accuracy. Sensitive data stays within bunq's AWS virtual private cloud, supporting GDPR and PCI DSS compliance alongside tools such as AWS CloudHSM, AWS Security Hub and AWS KMS.
bunq· NetherlandsAmazon Bedrock · AWS CloudHSM · AWS Security Hub +1Foxintelligence Enhances Ecommerce Insight Using AWS and Generative AI
Foxintelligence by NielsenIQ, the largest ecommerce measurement and consumer analytics company in Europe with around 5 million active online buyers tracked, uses Amazon SageMaker to build, train, and deploy its machine learning models and is exploring Amazon Bedrock to access foundation models, fine-tune them, and do prompt engineering, reducing time to market for generative AI innovation. As a company handling consumer personal data, Foxintelligence relies on AWS security features to comply with the EU's General Data Protection Regulation (GDPR) and other regional regulations as it expands globally, with advice from the AWS engineering team on new compliance features.
CDPHP modernizes infrastructure and improves medical data extraction with AWS AI/ML
CDPHP, a not-for-profit health plan serving 400,000 members in Upstate New York, used AWS services including Amazon Comprehend Medical, Amazon Textract, and Amazon SageMaker to automate its data processing pipeline for unstructured medical records and health data. The organization processed over seven million records during initial migration and now processes 3,000 electronic health records weekly. CDPHP achieved a 60% improvement in overall efficiency and reduced HEDIS report generation from 4-5 days (three data scientists) to two reports produced daily.
Contra Costa County District Attorney's Office Makes Unbiased Charging Decisions with ScaleCapacity Generative AI Solution on AWS
The Contra Costa County District Attorney's Office worked with AWS Partner ScaleCapacity to build a Race-Blind Charging solution to comply with California's AB 2778 mandate. The solution uses Amazon Bedrock and Amazon Textract to automatically redact race, ethnicity and other identifying details from police reports and case documents before charging decisions are made, with Amazon S3, DynamoDB, Cognito and SES supporting document storage, metadata and user access. The office processes around 17,000 cases annually, achieved compliance in six months, and can test and deploy new redaction rule changes in under a week.
Contra Costa County District Attorney's Office· United StatesAmazon Bedrock · Amazon Textract · Amazon S3 +3Unipol accelerates insurance operations with Generative AI built by Reply
Italian insurer Unipol Group, serving customers through more than 2,000 agencies, worked with Reply (Cluster Reply and Sprint Reply) to build a governed Generative AI platform: a Foundation Layer/Unipol GenAI Stack using Azure AI Search and a Vector DB indexing over 60,000 documents; a Virtual Information Assistant chatbot with RAG over 50,000+ documents that reduces back-office ticket load and delivers responses in seconds; a network of AI agents built with Azure OpenAI, LangChain/LangGraph and UiPath that convert manual tasks into conversational interactions with real-time data validation; and an AI Guardrail governance layer (built on the LoopMind asset) providing LLM-as-a-judge monitoring, human-in-the-loop validation and AI Act compliance. Reply reports accelerated time-to-value, with new applications released in 1-3 months.
Unipol Group· ItalyAzure AI Search · Azure OpenAI · LangChain +3ThinkDeep's DeepBrain AI agents help automate public services for the French government
ThinkDeep AI developed DeepBrain, a multi-agent assistant platform for France's Ministry of Economy and Finance and Ministry of Defense, built on NVIDIA AI Enterprise (NIM, NeMo Retriever, NeMo Guardrails, Llama Nemotron models) running on-premises on NVIDIA DGX H100 systems to keep sensitive data within government infrastructure and comply with the EU AI Act. DeepBrain agents process millions of PDF documents, scanned images, schemas and videos for use cases including fraud detection and legal document processing. Document retrieval time fell from two days to two minutes, a typical 100-user deployment saves 1,000 work hours per month, and the Ministry of Finance has saved €2 million deploying DeepBrain at scale to 10,000 employees.
French Ministry of Economy and Finance· FranceNVIDIA AI Enterprise · NVIDIA NIM · NVIDIA NeMo Retriever +4
Efficiency meets data sovereignty: Lector automates document processing with AI
Lector, a platform for intelligent document processing used by more than 60 corporate customers including over 25 health insurers, migrated its productive cloud services from a major American cloud provider to OVHcloud's German data centre to meet GDPR and data-sovereignty requirements. Using OVHcloud Managed Kubernetes, S3-compatible Object Storage, and AI Training/AI Deploy/AI Endpoint services, Lector achieved over 80% time savings in document processing across more than 500 million pages processed to date, while reducing the operational burden of running Kafka and MongoDB themselves.
lector.ai GmbHKubernetes · S3-compatible Object Storage · Kafka +2Boosting Innovation and Cutting Costs Through Lockheed Martin's AI Factory
Lockheed Martin centralized compute resources, MLOps tools and best practices into the Lockheed Martin AI Factory, built on an NVIDIA DGX SuperPOD reference architecture, to build and deploy trustworthy AI at scale on-premises under strict data governance requirements. Developers can now get GPU-backed environments running in minutes instead of weeks, and training times dropped from weeks to days. The AI factory processes over one billion tokens per week and now serves 7,000 engineers and developers, supporting internal chatbots and coding assistants such as Lockheed Martin Text Navigator, and has consolidated 30+ models on-premises.
Lockheed MartinNVIDIA DGX SuperPOD · NVIDIA Triton Inference Server · NVIDIA NeMo Framework +2TELUS builds its Fuel iX generative AI platform on Google Cloud
Canadian telecom TELUS built Fuel iX, a proprietary generative AI platform on Google Cloud, giving more than 57,000 team members secure access to 40+ AI models, including Anthropic's Claude and Google's Gemini via Vertex AI. Employees have created over 13,000 custom AI solutions and 47 large-scale gen AI products, driving more than $90 million in benefits and 500,000+ hours of time savings to date, and TELUS's engineering teams now ship code 30% faster. TELUS extended Fuel iX to power its customer-facing GenAI support tool, which became the first gen AI tool in the world internationally certified in Privacy by Design.
TELUS· CanadaFuel iX · Vertex AI · Claude +1City of Vienna increases efficiency of public services with innovative AI solution
Since 2023, Wien Digital, the City of Vienna's IT department, has worked with Red Hat to give the city's 70,000 employees access to WienKI (ViennaAI), an AI-based virtual assistant built on Red Hat OpenShift on premise and Microsoft Azure Red Hat OpenShift. WienKI answers employees' work-related questions from a growing knowledge base of digital documentation. The city follows the Vienna Manifesto on Digital Humanism and the EU AI Act, keeping a human in the loop to verify accuracy and make final decisions.
City of Vienna (Wien Digital)· AustriaRed Hat OpenShift · Microsoft Azure Red Hat OpenShift
Novartis: Accelerating Drug Development with AI-Powered Clinical Trial Transformation
Novartis partnered with AWS Professional Services and Accenture to modernize their drug development infrastructure and integrate AI across clinical trials, with the goal of reducing trial development cycles by at least six months. The initiative built a GXP-compliant data mesh platform on AWS with Databricks for processing, enabling AI use cases including protocol generation and an intelligent decision system (digital twin). Early results from the patient safety domain showed 72% query speed improvements, 60% storage cost reduction, and 160+ hours of manual work eliminated. The protocol generation use case achieved 83-87% acceleration in producing compliant protocols.
NovartisAmazon Web Services (AWS) · Databricks · Amazon S3 +8IFS Nexus Black's Resolve cuts fault resolution time 25% for industrial field engineers
IFS Nexus Black built Resolve, an AI assistant on Claude that helps field engineers in manufacturing, energy and utilities diagnose equipment problems by analyzing images and correlating sensor readings, using Model Context Protocol to connect to legacy industrial systems. Resolve cuts fault resolution time by 25%, and at a William Grant & Sons distillery in Scotland the predictive-maintenance deployment is expected to save an estimated £8.4 million a year at that single site by shifting technicians from reactive repairs to predicting failures before they happen.
IFS Nexus BlackClaude · Model Context Protocol (MCP) · Claude Agent SDK +1Matillion's Maia cuts data pipeline creation from 40 hours to 1 with Claude
Matillion, a data integration platform used by enterprises including Cisco and London Stock Exchange Group, built an AI assistant called Maia on Claude that lets users describe pipeline requirements in plain English and automatically generates, migrates and optimizes production-ready data pipelines in Matillion's proprietary YAML-based language. One customer's sophisticated data transformations that took 40 hours now take 1 hour with Maia, and 80% of Matillion's own developers use Claude Code, reporting an average 41% reduction in time spent on pull requests.
MatillionClaude · Claude CodeChronograph reaches 100% employee adoption of Claude Enterprise across its private equity platform
Chronograph, a portfolio monitoring and analytics platform serving institutional private equity investors, rolled out Claude Enterprise to its 150-plus employees, reaching 100% adoption with 80% daily active usage. New hires now contribute by their second week versus more than two months previously, and the company built a Chronograph MCP server so private equity clients can connect portfolio data directly to Claude for fund performance and exposure analysis.
ChronographClaude Enterprise · Model Context Protocol (MCP)ARC Europe cuts claims processing time 83% with a GPT-based AI agent on Azure
ARC Europe, a European roadside assistance and insurance provider, worked with Netguru to build a proof-of-concept AI agent on Microsoft Azure that automates insurance claims analysis. The GPT-based agent compares incoming claims against case history and attachments, summarizes the ticket, and gives a human operator an initial recommendation before final sign-off. Built in about six weeks, the prototype cut claims assessment time from 30 minutes to 5 minutes, an 83% reduction, while maintaining built-in compliance checks.
ARC EuropeGPT · Microsoft AzurePersonalizing talent acquisition to improve hiring outcomes
104 Corporation, Taiwan's leading online recruitment platform, moved data workflows to the Databricks Data + AI Platform and deployed MLflow to train machine learning models that summarize job postings and power personalized, tailored recruitment recommendations for job seekers and employers. The company saw a 25% reduction in ETL processing time and 9x faster data processing for more personalized job-seeking experiences.
104 Corporation· TaiwanDelta Lake · MLflow · Databricks Lakeflow JobsHUBER+SUHNER Reaches 99% Active Usage Piloting Microsoft 365 Copilot
Swiss connectivity technology maker HUBER+SUHNER ran a structured pilot of Microsoft 365 Copilot with Campana & Schott across 150 role-based licenses, using the Viva Suite to measure adoption. 99 percent of the pilot group actively used Copilot, with 94 percent using it several times a week and 65 percent daily, supporting tasks like meeting preparation, content structuring and research; the company is now scaling the rollout to 1,000 licenses.
HUBER+SUHNER· SwitzerlandMicrosoft 365 Copilot · Microsoft 365 · Microsoft Viva Insights +3Michelin Builds In-House Aurora Chatbot on Azure OpenAI Service Alongside Microsoft 365 Copilot
Tire manufacturer Michelin built 'Aurora,' an in-house chatbot powered by Azure OpenAI Service and fed by the group's own data and multiple LLMs, used by employees such as its Environmental Program Manager to generate summaries, reformulate ideas and connect concepts across R&D, manufacturing and marketing. Michelin also deployed Microsoft 365 Copilot for meeting summaries, document search and data classification across its workforce.
Michelin· FranceAzure OpenAI Service · Microsoft 365 Copilot · Microsoft CopilotBanco Bradesco uses AI for near real-time credit decisioning
Banco Bradesco, one of Latin America's largest banks, built BRAIN (Bradesco Business Intelligence Decisioning Platform) on the Databricks Data + AI Platform to provide credit solutions in near real-time, improving the accuracy of pre-approved loan financing and accelerating loan analysis from months to minutes. The bank runs 180+ analytics and AI use cases across 200+ users, using Delta Lake, Lakeflow Jobs, Spark Declarative Pipelines and Unity Catalog to unify customer, transactional and open-finance consent data, and has cut development time for new ML solutions from 2 days to under 2 hours (24x faster).
Banco BradescoDelta Lake · Databricks Lakeflow Jobs · Unity Catalog +1Orange Uses Mistral to Personalize Promotions and Lift Conversion Rates
Orange, France's largest telecommunications company with 298 million customers worldwide, used Mistral models to generate personalized promotional messages tailored to individual customer characteristics and profiles. A tailor-made marketing campaign launched in 2023 significantly increased the conversion rate.
Orange· FranceMistralSaxo Bank Developers Use GitHub Copilot in Almost Every New Application
Danish broker Saxo Bank rolled out GitHub Copilot to more than 400 of its 700+ platform developers, who now use it to generate code, debug errors and write test code in almost all new application development, with an overall code-acceptance rate of around 30%. Saxo also built a client-facing chatbot on Azure OpenAI with controlled responses limited to approved help content, and sent engineers to Microsoft's AI Co-Innovation Lab in Munich to prototype a news recommendation engine using large language models.
Saxo Bank· DenmarkGitHub Copilot · Azure OpenAI · Microsoft 365 Copilot +1Pandora Builds AI Shopping Agent Gemma and Service Agent Clara with Agentforce
Jewelry brand Pandora built two Agentforce AI agents: Gemma, a personal shopper that reasons across Commerce Cloud order history, Bloomreach recommendation data and Databricks insights via Data 360 to make tailored jewelry recommendations in a warm, in-store-like tone, and Clara, a customer service agent built with Salesforce Professional Services and Publicis Sapient that answers "Where is my order?" requests and FAQs, deflecting 60% of cases.
Bayer's Model Store Copilot Plugin Saves Researchers Months by Surfacing Existing Predictive Models
Bayer's Crop Science division, working with Microsoft Teams engineering, built the Model Store, a Microsoft Copilot plugin using Teams extensibility and PowerApps to search Bayer's scientific knowledge repository with natural language, helping data scientists and laboratory researchers quickly locate existing studies and predictive models instead of digging through decades of unstructured slide decks and reports, preventing duplicate model development and saving a researcher two to three months of work.
Bayer· GermanyMicrosoft Copilot for Microsoft 365 · Microsoft Teams · Power AppsEuronics Italia's AI Agent Ronics Lifts Conversion Rate 53% with Agentforce
Euronics Italia, part of the largest group of European consumer electronics retailers, built Ronics, an Agentforce AI agent that connects to its 26,000-SKU catalogue in Data 360 to answer appliance questions in natural, conversational Italian, suggest and compare products, and recommend replacements, bringing its in-store expertise to online shopping and lifting conversion rate by 53%.
Euronics Italia· ItalyAgentforce · Data 360 · Agentforce CommerceFinnair's AI Agent Sisu Resolves 80% of Customer Service Chats with Agentforce
Finnair built Sisu, an AI agent powered by Salesforce Agentforce, to instantly answer customer questions about luggage, check-in and flight extras on its website and app, unifying data from Service Cloud, Amadeus reservations and Finnair Plus loyalty details via Data 360, and escalating complex cases to reps with full context, resolving 80% of customer service chat inquiries.
Finnair· FinlandAgentforce · Data 360 · Service CloudNorthumbria Healthcare NHS Trust Predicts Surgical Risk with Azure Machine Learning
Northumbria Healthcare NHS Foundation Trust surgeons built a machine learning model using 220 input parameters from historical surgical-outcomes data on Azure Machine Learning and its Responsible AI dashboard to produce individualized, explainable patient risk profiles for joint-replacement surgery, helping patients make informed decisions and the Trust place surgical candidates at appropriately specified facilities.
Mercer International Cuts Safety Training Production Costs 75% with Gemini and Google Vids
Bio-manufacturing company Mercer International deployed 2,000 Gemini seats across Google Workspace and adopted Google Vids, an AI video creation app, to turn safety documents into professional training videos with voiceovers in multiple languages for its 4,000 employees across hazardous industrial sites, cutting safety training production costs by up to 75% and unlocking an estimated $3 million a year in productivity gains.
Italgas Embeds Agent Bricks Machine Learning and Genie Natural-Language Queries into Gas Distribution Operations
Italgas unified its siloed gas-distribution data systems on the Databricks Data + AI Platform, using Delta Lake, Unity Catalog and Databricks SQL to process 1TB of data daily and give 80% of employees self-service AI/BI Dashboards, cutting platform costs by 70% and workload costs by 73% versus its prior Azure Synapse setup. Italgas plans to embed the Genie Conversation API into its DEVA meter-management and DANA control-room systems for natural-language queries.
Synthesia Accelerates AI Text-to-Video Model Training 30x on NVIDIA GPUs via AWS
AI video company Synthesia moved ML model training for its text-to-video SaaS, Synthesia Studio, from on-premises computers to NVIDIA GPU-powered Amazon EC2 instances (P5/H100, P4/A100, G5/A10G) using PyTorch, Amazon EKS, AWS ParallelCluster and AWS Batch, accelerating model training by 30 times and supporting 456% user growth.
SynthesiaAmazon EC2 P5 Instances · Amazon EC2 P4 Instances · Amazon EC2 G5 Instances +6Ativion Powers Generative AI Classroom-Management Solution StudentKeeper with Amazon Nova
EdTech company Ativion built StudentKeeper, a generative AI classroom-management solution powered by its ARIA assistant, using Amazon Nova Pro and Amazon Nova Lite foundation models on Amazon Bedrock to filter content, calculate near real-time student attentiveness scores, flag safety concerns, and automatically draft teacher progress notes from the 200-400 million daily data events generated by its ContentKeeper filtering service.
Viessmann builds an energy-efficient world with predictive maintenance on Databricks
Viessmann, a family-owned provider of sustainable climate and renewable energy solutions, used the Databricks Data + AI Platform to process over 2.5TB of daily IoT machine data from its connected heating, ventilation, and solar devices, training ML models to detect anomalies like water pressure drops and forecast energy consumption and component lifetime for its remote service offering.
ViessmannDelta Lake · Power BIMAN Accelerates Digital Transformation with AWS and Generative AI
MAN Truck & Bus uses AWS services including Amazon Bedrock, Amazon SageMaker, and Amazon QuickSight to develop solutions such as early fault detection and warranty optimization, building on vehicle data collected since connecting its trucks and buses to AWS in 2017, and is separately adopting generative AI to enhance internal processes and build the foundation for new digital experiences.
MAN Truck & BusAmazon Bedrock · Amazon SageMaker · Amazon QuickSightMediahuis strengthens its commitment to quality journalism with Google Cloud's AI
Mediahuis, a European media group publishing more than 30 news brands including De Standaard, NRC and De Telegraaf, built NewsSearch, an AI assistant combining Elasticsearch with Google Cloud's Vertex AI and Gemini models to let journalists search millions of archived articles, verify facts, generate summaries and suggest story angles. Research that sometimes took hours is now done in a few seconds or minutes, and the tool is being extended to other publications in the group after a successful pilot.
MediahuisVertex AI · Gemini · Elasticsearch +3PwC delivers the human-led tech-powered future of auditing with Azure OpenAI Service
PwC is building Next Generation Audit, a $1 billion initiative using Azure OpenAI Service, Azure AI Document Intelligence and Azure AI Search to extract information from unstructured audit documents and compare it against standardized data sources at enterprise scale, aiming to reduce unnecessary audit burden on clients.
PricewaterhouseCoopers (PwC)· United KingdomAzure OpenAI Service · Azure Cosmos DB · Azure Kubernetes Service +4Philips Uses AI and ML to Improve Medical Imaging Diagnostics for Philips HealthSuite Built on AWS
Dutch health technology company Philips built HealthSuite, a regulatory-compliant platform-as-a-service on AWS using Amazon EC2 and AWS IoT Core, using natural-language processing to structure textual reports and feed them back into development environments to retrain and redeploy medical imaging AI models.
Philips· NetherlandsAmazon EC2 · AWS IoT CoreENGIE Impact identifies risk more accurately using Azure Analytics and AI Services
Sustainability consultancy ENGIE Impact adopted Azure AI Foundry, Azure Databricks and Microsoft 365 Copilot to process data from 31,000 vendors across more than 600,000 sites and $1.8 million invoices monthly, running daily machine learning predictions that improved account risk identification by 13x over its previous process.
ENGIE Impact· United StatesAzure AI Foundry · Azure Databricks · Microsoft 365 Copilot +2CrossTech Cuts High-Risk Rail Faults 96% with Computer Vision Predictive Maintenance on Google Cloud
UK startup CrossTech built Hubble, an AI computer vision platform that analyzes video captured from trains to detect hazards such as overgrown vegetation, signal obstructions and track ballast issues, running on Google Cloud's Compute Engine, Cloud Run and Vertex AI. Using Vertex AI, CrossTech halved the time to build a first model version to six weeks and cut deployment cycles by 70%. The predictive maintenance has delivered roughly £20 million in annual net maintenance efficiency for customers, reduced unplanned service interruptions by 30%, cut high-risk faults on key lines by 96%, and enabled frontline teams to remediate 6,000 faults.
Achieving Near-Zero Downtime and Powering Generative AI Using Amazon EKS with Ada
Customer service automation company Ada migrated its Kubernetes clusters to Amazon EKS and now runs a generative AI reasoning engine for customer conversations, raising automated resolution rates from 20-30 percent with its prior declarative agents to up to 77 percent.
CACTUS accelerates prototyping using generative AI on AWS
Academic research services company CACTUS Communications built more than 20 generative AI use cases, including the Ask R Discovery research assistant and Paperpal's ChatPDF feature, on Amazon Bedrock with Anthropic Claude, cutting idea-to-prototype cycles by 65 percent and growing daily active users by 40 percent.
Generative AI on AWS Helps TUI Better Support Millions of Customers
TUI, Europe's largest travel company, uses Amazon Bedrock and generative AI to increase internal efficiency and transform customer interactions for the 16 million travelers it serves a year.
Akbank deploys an Azure OpenAI chatbot for branch staff knowledge search
Akbank, one of Turkey's largest banks, built an Azure OpenAI Service-based chatbot to replace manual search through a roughly 10,000-article knowledge base, generating correct answers about 90% of the time and saving customer support representatives around three minutes per customer interaction.
Akbank· TürkiyeAzure · Azure AI and Machine Learning · Azure Machine Learning +1UBS builds 'UBS Red' AI assistants for client advisors on Azure OpenAI
UBS built UBS Red, a pair of domain-specific AI assistants using Azure AI Search and Azure OpenAI Service, digitizing approximately 60,000 investment advice and product documents into a queryable knowledge base for Client Advisors, and rolled out Azure OpenAI Service to 30,000 employees across Switzerland, Hong Kong and Singapore booking centers within 10 months.
UBS· SwitzerlandAzure OpenAI Service · Azure AI Search · Azure AI and Machine Learning +1Helping more people find their next dream home
Housing.com, a real estate platform, moved from a cloud data warehouse to the Databricks Data + AI Platform, using Delta Lake and MLflow to train and deploy machine learning models for personalized property recommendations and fraud detection; additional ML models for pricing prediction and demand forecasting are currently under development. The fraud detection ML model lowered fraudulent credit card transactions by 0.05%, the recommendation engine drove a 5.5% increase in prospect-to-lead conversion, and the company cut total cost of ownership by 50% while reducing ML and pipeline deployment time by 10-15%.
Housing.comDelta Lake · Unity Catalog · MLflow +2Millennium bcp targets personal loan customers with BigQuery machine learning
Millennium bcp, Portugal's largest private bank, used BigQuery's machine learning tools, Google Analytics 4 and Firebase to analyze behavioral patterns of existing customers and build predictive models segmenting clients by loan propensity, achieving a 2.6x higher conversion rate and 2.4x greater conversion volume in owned media, a doubling of paid media conversion volume with 1.9x higher conversion rates, and a 36% drop in cost per acquisition.
Millennium bcp· PortugalBigQuery · Google Analytics 4 · Firebase +1Virgin Australia modernizes data infrastructure on Databricks to improve baggage handling and loyalty
Virgin Australia replaced a constrained on-premises data warehouse with the Databricks Data + AI Platform, implementing a Delta Lake medallion architecture with MLflow and Unity Catalog to power recommendation engines and propensity models, achieving a 75% increase in real-time data availability, 50% decrease in data ingestion time, 90% faster ML model deployment, and a 44% reduction in mishandled baggage.
Punchh accelerates loyalty analytics with a Databricks lakehouse on AWS
Punchh migrated from AWS MySQL to a centralized Databricks lakehouse on AWS with Delta Lake and Databricks SQL to unify raw and refined data for ML and BI teams, increasing campaign analytics dashboard processing performance by 90x, reducing dashboard costs by 50% per request, and improving customer net promoter score by 12% (40 basis points).
ABB Leads Shift to Autonomous Operations with Genix Industrial AI Platform on Azure
ABB built its Genix Industrial IoT and AI Suite on Microsoft Azure and Azure AI Foundry Agent Service, using a multi-agent architecture so AI agents can autonomously execute workflows across assets, operations, supply chain, energy, and emissions management. Genix Copilot lets shop-floor engineers scan a QR code on an analyzer to have AI agents pull real-time data and maintenance logs and suggest a fix, cutting troubleshooting time by 60-80%. Across ABB's customer base, Genix has improved reliability of critical assets by up to 20% and reduced unplanned downtime by up to 60%. Customer Birla Opus Paints used Genix to raise its "Right First Time" production rate from 40-45% to over 80% in its first year and cut root-cause analysis time from a week to an hour.
ABB· SwitzerlandMicrosoft Azure · Azure AI Foundry Agent Service · ABB Genix Industrial IoT and AI SuiteAbnormal Security detects email attacks with behavioral AI on Databricks
Abnormal Security migrated from a legacy Hadoop system to the Databricks Data + AI Platform on AWS, using Delta Lake and Databricks SQL to stream threat signals from Kinesis Firehose and power behavioral AI models analyzing over 50,000 signals to detect email attacks, achieving a 20% reduction in successful email attacks, a 40% reduction in infrastructure costs, and a 30%+ increase in productivity.
i-Tom Solutions Scales Customer Support for Romanian SMBs with a Generative AI Assistant on Amazon Bedrock
Romanian SaaS invoicing provider i-Tom Solutions, which serves over 170,000 SMBs through its FGO platform, worked with AWS Partner Auvaria to build a retrieval-augmented generation support assistant on Amazon Bedrock, using AWS Lambda for document processing and Amazon OpenSearch Service for semantic search. After a 4-5 week proof of concept, the assistant went from POC to live production deployment in one week and now handles hundreds of customer inquiries per day, including out-of-hours queries, without expanding the human support team.
TVS Motor Company centralizes sales and service data on Databricks to drive AI-driven automotive experiences
TVS Motor Company used the Databricks Data + AI Platform on Azure, with Delta Lake and MLflow, to centralize siloed sales and after-sales data from 150 different tables into a single source of truth, building ML models for sales-lead classification and predicting service center visits, achieving 2x faster sales-lead follow-up and a 30% increase in customer appointments for bike service.
AMRC Uses IBM Maximo Visual Inspection for AI-Driven Manufacturing Defect Detection
The UK's Advanced Manufacturing Research Centre (AMRC) deployed IBM Maximo Visual Inspection software on an IBM Power Systems AC922 server with FlashSystem storage at its Factory 2050 facility to automate detection of faulty manufactured components, replacing manual light-beam inspection methods. The AI-optimized platform delivers 5 GB/s image-transfer speeds (versus 70 MB/s on prior on-premises infrastructure), trained an accurate vision model from about 500 images in roughly 20 minutes, and delivered a proof-of-concept for a startup customer in 5 days.
Advanced Manufacturing Research Centre (AMRC)· United KingdomIBM Maximo Visual Inspection · IBM Power Systems AC922 · IBM FlashSystem
Waylay Uses Amazon Bedrock to Drive Automation in Key Industries
Waylay, an enterprise automation specialist serving industrial IoT, telecommunications and fintech sectors, uses AWS generative AI capabilities for solutions ranging from predictive maintenance in industrial production to anti-money laundering services in fintech, and specifically uses Amazon Bedrock to deliver intent-based automation for telecoms enterprises.
Siemens cuts lead response time from days to minutes with two Agentforce AI agents
Siemens deployed an engagement agent and a qualification agent on Salesforce Agentforce to handle its thousands of monthly inbound sales leads. The engagement agent sends personalized outreach and follow-up, while the qualification agent gathers budget, authority, need and timeline details through a chat and applies about 50 predefined rules built with Agent Script before routing qualified leads to sellers. The system gives 100% response coverage to roughly 2,500 in-scope leads a month across 132 countries, cutting response time from days to minutes with an 11% engagement rate and 6% qualification rate.
SiemensAgentforce · Sales Cloud · Agent Script +2CaixaBank unifies customer data with Salesforce Data 360 and Agentforce to cut support response time
CaixaBank, Spain's leading bank with over 20 million customers, deployed Agentforce and Data 360 on the Salesforce Platform to unify customer profiles, product data and interaction history across channels for its more than 38,000 employees. On its remote support team of 300+ employees, Agentforce streamlines call preparation with on-demand insights so managers can connect customers with a manager within two minutes, and intelligent document processing that previously took three to four months to build on another platform took about half an hour to build with Salesforce's Prompt Builder.
CaixaBank· SpainAgentforce · Salesforce Data 360 · Prompt Builder
Stripe deploys Claude Code to 1,370 engineers with a zero-configuration enterprise rollout
Stripe worked with Anthropic to produce a signed enterprise binary of Claude Code, bypassing npm supply-chain security concerns, and pre-installed it across every engineer's laptop with authentication and configuration already set up. The company deployed Claude Code to 1,370 engineers, and one team used Claude models to migrate 10,000 lines of Scala to Java in four days, a project estimated at ten engineering weeks by hand.
StripeClaude CodeXOCEAN builds AI on AWS to automate seabed survey interpretation
XOCEAN, an ocean data company operating a fleet of uncrewed survey vessels, streams seabed survey data directly to AWS and is building AI, deployed on AWS infrastructure, to automate interpretation of seabed imagery such as identifying and measuring boulders that geophysicists currently review manually. The goal is real-time pass/fail assessments during surveys, which the company expects could cut project schedules by ten days to two weeks per site.
XOCEANAWSThe European Patent Office accelerates innovation with Mistral
The European Patent Office partnered with Mistral AI on a three-month proof of concept to automate patent document transcription. A 1B-parameter OCR model was fine-tuned on over 150,000 PDFs (50,000 unique patents) and built into a pipeline converting complex patent documents (with formulas, chemical structures, tables, and figures across multiple European languages) from Markdown to HTML to ST36-compliant XML, deployed on-premises. The system achieves 400,000 pages/day throughput with a character recognition error rate below 1%, cutting lead time from up to 5 days down to a few minutes.
European Patent OfficeMistral AI OCRReducing visual documentation time by 90% using AI on AWS with PlanRadar
PlanRadar, a Vienna-based construction and real estate software company, built SiteView, a visual documentation add-on that uses 360-degree image capture and Amazon Nova Foundation Models in Amazon Bedrock to map site photos onto floor plans. Running on Amazon EKS and Amazon S3, the GDPR-compliant solution lets users document 500 square meters of a construction site in about 5 minutes, a 90% reduction in time versus manual photography, with 97% positioning accuracy.
PlanRadar· AustriaAmazon Nova · Amazon Bedrock · Amazon EKS +1MNP deploys a fine-tuned LLM with RAG on Databricks to deliver client insights in weeks
MNP, a Canadian professional services firm, used the Databricks Data + AI Platform, AI Search and Foundation Model APIs to deploy a retrieval-augmented generation system on a Mixtral 8x7B model, letting client-facing teams get contextual, up-to-date insights from structured and unstructured data. Supported by the Databricks GenAI Advisory Program, MNP's data team built a model from start to QA testing within four weeks and reached GenAI solution deployment in six weeks.
Volvo Group streamlines invoice and claims processing with Azure AI and AI Document Intelligence
Swedish manufacturer Volvo Group built a document-processing automation using Azure AI Document Intelligence, Azure Data Factory and Power Automate to extract data from images, stamps and overwritten text in invoices and claims documents and translate them across languages, saving more than 10,000 manual hours since launch.
Volvo Group· SwedenAzure AI Document Intelligence · Azure Data Factory · Power AutomateOptimizing refrigeration-unit efficiency using AWS with Delivery Hero
Delivery Hero built an IoT solution on AWS IoT Core and Amazon QuickSight, deploying Amazon Q in QuickSight as a generative AI assistant that lets store managers ask natural-language questions about energy usage, reducing global Dmart electricity usage by 14% (about 10.9 GWh saved) and cutting individual store utility costs by 11-14%.
Delivery HeroAWS IoT Core · Amazon QuickSight · Amazon Q in QuickSightesure Personalizes Customer Experience Using Machine Learning on AWS
UK insurer esure Group built a cloud-native platform on AWS using Amazon Connect and machine learning models to generate personalized insurance quotes and detect fraud, improving suspected fraud detection to 60% of incidents identified, up from 40% with its previous IT environment.
esure Group· United KingdomAmazon Connect Customer · Amazon S3 · Amazon EKSAusNet Services predicts asset failure with Databricks-powered analytics
AusNet Services, an Australian energy and infrastructure company serving 1.5 million customers, migrated its data platform to Azure Databricks and Delta Lake to consolidate over 11 billion electricity, gas and network connection assets, enabling predictive maintenance across asset classes that reduced risk and cut costs, achieving 50% cost savings on the data platform, 3x faster data processing, and a 20%-30% reduction in operational overhead.
Carvana rebuilds its customer communications data pipeline with Databricks Spark Declarative Pipelines
Carvana's Next Generation Communication Platform team migrated from Google BigQuery and Amazon EMR to the Databricks Data + AI Platform, using Spark Declarative Pipelines, Databricks SQL Serverless and Delta Lake to manage a 3-billion-record dataset powering NLP-driven chatbot and customer communications, saving approximately $500,000 a year in data warehousing costs.
Skechers personalizes marketing campaigns by integrating Uniphore CDP with Databricks
Skechers integrated Uniphore's Customer Data Platform with the Databricks Data + AI Platform and Delta Lake to unify customer data across 180+ countries for AI-driven audience segmentation and omnichannel marketing, reducing campaign lead time from 2-8 weeks to 4-10 days and achieving a 324% increase in click-through rate, 68% reduction in cost per click, and 28% boost in return on ad spend.
LALIGA processes petabytes of stadium video data for real-time sports insights on Databricks
LALIGA used the Databricks Data + AI Platform on Azure, with Delta Lake and MLflow, to ingest 300,000 frames of in-game video per match from stadium cameras and build real-time machine learning models tracking player and ball movement for performance analysis and personalized fan experiences, later commercializing the platform as LALIGA Tech for other sports organizations.
Kaizen Gaming builds real-time betting personalization with Azure Databricks
Kaizen Gaming, a European game-tech company handling up to 4,000 transactions per second, used Azure Databricks with Delta Lake and MLflow to move ML model training off local PCs onto a scalable cloud platform, cutting data set creation time from 240 hours to 20, and building a sportsbook recommendation engine that achieves 75%-85% precision across its top 100 events.
Grammarly migrates to a Databricks lakehouse to scale analytics for 30 million users
Grammarly replaced its homegrown analytics platform and always-on Amazon EMR clusters with the Databricks Data + AI Platform, using Delta Lake as the core of its lakehouse and Unity Catalog for fine-grained access control and data lineage, to consolidate 5 billion daily user-feedback events for analytics, achieving 110% faster querying at 10% of the ingestion cost of a data warehouse and cutting the time to make daily events available for analytics from 4 hours to under 15 minutes.
U.S. Department of Transportation builds a real-time aviation database with Databricks
The U.S. Department of Transportation used the Databricks Data + AI Platform on Azure with Delta Lake and Apache Kafka to unify FAA SWIM streaming data with on-premises Oracle and Sybase databases into a real-time commercial flight database, powering ML-driven predictions of air traffic patterns and reducing the cost of collecting and ingesting streaming data by 90% compared to other cloud solutions.
John Keells Holdings scales retail advanced analytics with Azure Databricks
John Keells Holdings' OCTAVE Center of Excellence used Azure Databricks, Delta Lake and MLflow to unify siloed data across 70 companies and seven industry verticals, running over 40 advanced analytics use cases including a store-clustering supply chain optimization pilot for its Keells supermarket chain that improved dry-category revenue and cut the time for annual category review.
Aggreko embeds machine learning across global operations with Azure Databricks
Aggreko, a supplier of temporary power generation equipment across 265+ locations worldwide, used Azure Databricks and Delta Lake to unify data silos and analyze real-time IoT data from tens of thousands of field assets, embedding machine learning for predictive maintenance, saving over 30,000 hours of productivity, reducing service material costs by 10%, and achieving 140% of its cost-reduction target in the first half of 2020.
Eneco powers its Toon connected home energy platform with Databricks ML
Eneco, a Dutch energy provider, migrated from an on-premises Hadoop cluster to the Databricks Data + AI Platform on AWS and Delta Lake to process over 300 types of sensor and user interaction data and petabytes of energy usage data from 350,000 households on its Toon connected home platform, building ML models that detect appliance energy usage patterns at 10-second intervals and alert users to heating system anomalies.
Kantar rebuilds its Worldpanel Plus data processing platform on Databricks for faster brand insights
Kantar replaced three in-house architectures with a new data processing platform on the Databricks Data + AI Platform on Azure to process 3 million+ consumer purchase receipts per month for its Worldpanel Plus research service, using Unity Catalog, Delta Sharing, Spark Declarative Pipelines and MLflow, cutting the time to reprocess five years of historical data from several months to two days.
Flipp democratizes shopping data with a Databricks lakehouse for personalized offers
Flipp built a lakehouse architecture on Databricks and Delta Lake to unify siloed retail partner content and user-generated behavioral data, using MLflow for experiment tracking and Tableau for reporting, powering recommendation models for real-time personalized offers and contributing to a 10% increase in in-store traffic with retailers.
Flaconi personalizes beauty product recommendations in real time with Databricks
Flaconi, a European online beauty retailer with 2.3 million customers, used the Databricks Data + AI Platform on AWS, with Delta Lake, MLflow, and SageMaker's DeepAR, to build a streaming machine learning pipeline for real-time product recommendations, reducing prediction latency from 20 minutes to 300 milliseconds, cutting model deployment time-to-market by 200x, reducing ML staff costs by 40%, and increasing net order income by 5%.
Danone unifies data and drives trusted AI with Databricks
Danone uses the Databricks Data + AI Platform, including Unity Catalog and Genie, to unify data and break down silos across global business units, with its WeFi project and GenAI chatbots accelerating time to actionable insights.
HOMER unifies student data on Databricks to personalize early childhood learning
HOMER, an early childhood education company, built a unified data lake on Databricks in six months (versus up to two years on other platforms) to consolidate hundreds of millions of monthly event transactions, using Delta Lake for ETL pipelines and MLflow to build churn and engagement models in about six weeks, driving a 1%-5% increase in conversions with an estimated revenue impact of up to $20 million.
Shift builds real-time credit decisioning with machine learning on Azure Databricks
Shift, an Australian business finance company, used the Azure Databricks Data + AI Platform and Delta Lake to consolidate disparate bank transactional data and build proprietary in-house classification models, enabling real-time credit approvals, 24x faster time-to-market for new solutions, and 90% faster data processing.
Kotahi unifies supply chain data analytics on Azure Databricks
Kotahi implemented a unified data analytics solution on Azure Databricks with Delta Lake to consolidate siloed data from over 50 New Zealand exporters, importers and transport specialists, cutting a nine-hour data process down to 20 minutes, achieving 27x faster data pipelines, and reducing customer decision-making time by more than 50% via new Chilled Produce Reporting products.
AIA Hong Kong and Macau builds a centralized lakehouse for personalized insurance recommendations
AIA Hong Kong and Macau migrated from a rigid on-premises Oracle data warehouse to Azure Databricks to build a centralized lakehouse, using MLflow to manage the machine learning lifecycle and support personalized recommendation models. The initiative supported more than 11 ML projects and contributed to double-digit growth in customer lead generation and 2x+ growth in customer engagement and financial advisors' lead generation.
Gazelle: Smart validation and 99.9%-accurate property descriptions with Gemini
Gazelle, a Swedish startup automating property documentation for real estate agents in Sweden and Norway, uses Google's Gemini 1.5 Pro to extract key information from lengthy property documents like building-inspection and electricity reports and generate sales content. Gemini increased output accuracy from less than 95% to 99.9%, reduced content generation time from four hours to 10 seconds, and helped Gazelle launch four new products in under a year, saving brokers 4 to 6 hours of manual work per property.
SafeGraph optimizes geospatial data processing with Databricks and Delta Sharing
SafeGraph used the Databricks Data + AI Platform, Delta Lake, Delta Sharing and MLflow to process petabytes of geospatial data and feed predictive models, achieving 2x-10x faster spatial querying, indexing and partitioning and a 50% reduction in peak memory consumption compared to other platforms, while reducing data access time for partners from months to minutes via Delta Sharing.
SEGA Europe builds a player sentiment analysis GenAI model and Genie One self-serve analytics on Databricks
SEGA Europe consolidated data from over 40 million players generating 50,000+ events per second into Delta Lake with Lakehouse Federation and Unity Catalog, then built a generative AI player sentiment analysis model that analyzes 10,000+ user reviews daily to identify gameplay issues, and deployed Genie One for natural-language self-serve analytics, achieving a 10x faster time to insight.
Specsavers uses Databricks for data intelligence in eyecare and hearing care
Specsavers uses the Databricks Data + AI Platform, including Unity Catalog for fine-grained access control over sensitive patient data, to power analytics, personalized care, automated store-level insights, and machine learning models that optimize customer interactions and reduce appointment no-shows.
Flinders University builds a centralized analytics portal on Databricks for near real-time student insights
Flinders University used the Databricks Data + AI Platform on Microsoft Azure, with Delta Lake and MLflow, to build the Flinders Intelligence Portal (FLIP), a centralized self-service analytics portal replacing week-long manual data requests with near real-time reporting on student enrollment, well-being and performance.
Genome Institute of Singapore accelerates whole genome processing with Databricks
Genome Institute of Singapore (A*STAR), working with Precision Health Research Singapore (PRECISE) on the National Precision Medicine strategy, used the Databricks Data + AI Platform with Delta Lake and Glow to run joint calling of 10,000 whole genomes in under 72 hours, a 15x improvement over their prior approach, to support population-scale precision medicine research.
Improving decision-making to save lives faster
Powys Teaching Health Board (PTHB), which plans NHS services for a quarter of Wales, migrated from a strained on-premises SQL warehouse to the Databricks Data + AI Platform to unify patient, workforce and partner-organization data within a year. The federated lakehouse cut time to build data pipelines by 40%, and staff using the AI-powered Databricks Assistant became 65% more productive answering data questions, while the board is now exploring predictive use cases such as forecasting feature utilization.
Protecting people's health and well-being with AI
Milliman's MedInsight group, which provides actuarial insights to over 300 U.S. healthcare organizations, replaced a rigid on-premises 50-node Spark cluster with the Databricks Data + AI Platform to process rising volumes of healthcare claims data. Using Delta Lake, Auto Loader and MLflow, Milliman MedInsight achieved 15x to 35x faster data pipeline performance and 5x to 7x faster delivery of health insurance risk insights, and plans to build an LLM-powered AI assistant trained on healthcare claims data and domain documentation.
Wondr Health scales trusted health coaching with Claude
Wondr Health, a digital behavior-based weight management program offered as an employer benefit, worked with AI engineering firm Blank Metal to build Wonda, an AI coaching layer running on Claude via Amazon Bedrock: Claude Opus 4.5 powers coaching conversation reasoning, Sonnet runs a parallel safety subagent that monitors every conversation turn and escalates risk to human coaches via Zendesk, and Haiku runs automated evaluations, with onboarding answers grounded in Wondr's curriculum through a RAG pipeline. Before launch, Wondr's clinical and coaching teams tested Wonda against more than 700 questions across six user personas. The AI coaching layer compresses onboarding that historically took a human coach 30 to 60 minutes into a 10-minute guided conversation.
Wondr HealthClaude Platform · Amazon Bedrock · LangGraph +2Agentforce on Help Handles Over 2 Million Conversations
Salesforce built Agentforce on Help, an AI agent on its Help site that answers customer service questions in natural language grounded in unified Data 360, using the Atlas Reasoning Engine to classify intent and orchestrate prompts and LLM calls. The agent has handled more than 2 million conversations, freeing human support engineers for complex issues. Its Japanese-language launch facilitated more than 50,000 conversations with a 77% resolution rate, and the agent now supports French, German, Italian, Japanese, Portuguese, and Spanish without human translation.
Salesforce· United StatesAgentforce · Data 360 · Atlas Reasoning Engine +1How CoreWeave used Cohere North to transform its customer support in 90 days
CoreWeave, a cloud computing company providing infrastructure for AI workloads, embedded Cohere's North agentic AI platform directly into its Slack-based support workflows, privately deployed inside its own data centers. North automates ticket triage, gathers customer context, and recommends resolutions. Within a few months, CoreWeave's mean time to resolution dropped from 4-8 days to 2-5 days, customer satisfaction scores reached 4.9-5.0, and routing accuracy improved, with the full transformation completed in 90 days.
Sertrading transforms document processing with OCI-powered AI agent built by MPL
Sertrading, a global imports company processing more than 800 types of business documents including invoices and payment slips, adopted an AI-powered agent built on Oracle Cloud Infrastructure using OCI Document Understanding, OCI Generative AI models, and Oracle APEX, developed with partner MPL Corporate Software. Employees and suppliers upload documents to the platform, where the agent extracts structured data and returns JSON for integration into business processes. The solution increased document processing accuracy from around 80% to 98% and reduced manual work.
Onc.AI accelerates precision oncology with the Valohai MLOps platform and Oracle Cloud
Onc.AI, a precision oncology company developing imaging biomarkers to predict patient survival and treatment responses from CT scans, deployed the Valohai MLOps platform on Oracle Cloud Infrastructure using OCI A10 GPU instances. The move doubled the company's biomarker pipeline speed and reduced deep learning training run costs by 50% compared with its previous GCP T4 GPUs, while supporting clinical-ready compliance.
Onc.AI· United StatesValohai · Oracle Cloud Infrastructure (OCI) · OCI A10 GPUs +1Sphere builds its AI platform using Oracle Autonomous Database
Sphere Global Holdings built its AI platform OrgBrain, which provides AI-driven services for compliance, governance, and operations for enterprise decision-making, using Oracle Autonomous Database with AI Vector Search and integrated LLMs. The platform draws on relational, vector, spatial, JSON, and graph data to simplify tasks such as writing evidence-based grant proposals in minutes instead of weeks. Government agencies using Sphere cut the time to create a first draft of a notice of funding opportunity from a week or two to about five minutes.
Bitron boosts EV charging station efficiency with Oracle AI solutions
Bitron Electronics, an Italian manufacturer monitoring more than 200 electric vehicle charging stations, built a conversational chatbot using Oracle AI Database with AI Vector Search, RAG, and LLMs (Cohere Command R, Meta Llama) via OCI Generative AI to unify fault tickets, technical manuals, and other data sources. The chatbot answers 85% of operator questions and helps diagnose charging station issues 5X faster, reducing downtime and maintenance time by tens of hours per month.
Transforming banking for 6 million German customers on AWS with DKB
Deutsche Kreditbank AG (DKB), one of Germany's largest banks serving 6 million customers, migrated its digital banking platform including 84 databases, 130 APIs, and over 200 million objects to AWS using a phased strategy with AWS DataSync and AWS DMS. The bank now uses generative AI for a digital assistant in its banking platform, and the migration delivered up to 100% improvement in API response times, a 50% reduction in platform and operational costs, and a 25% decrease in mean time to resolve incidents.
Al-Futtaim becomes customer-centric with Databricks
Al-Futtaim, a Middle East conglomerate distributing brands like Toyota, IKEA and Marks & Spencer across 200+ brands, built a unified 'golden customer record' on the Databricks Data + AI Platform with Delta Lake and Delta Sharing, replacing a legacy on-premises data warehouse. This delivered a 10% increase in automotive sales, a 30% decrease in lost sale opportunity and inventory holding cost, and 4x faster time-to-insight.
EvenUp cuts document drafting from 15 hours to 15 minutes with Claude
EvenUp, a legal technology platform for personal injury firms that has resolved more than 200,000 cases and secured more than $10 billion in damages for injury victims, built its AI Drafts product on Claude, with Opus 4.8 handling deep reasoning and consistency-checking, and Sonnet or Haiku handling everyday extraction from case records that can run 1,000-plus pages. Document drafting that previously took 8 to 15 hours of skilled paralegal work now returns as finished drafts in about 30 minutes, a roughly 99% time reduction, while settlement offers across EvenUp's customer firms rose 300% and one firm cleared a 45-day demand-writing backlog after drafting time fell from about a month to roughly ten minutes per case.
EvenUpClaude Platform · Claude Enterprise · Claude CodeHow Rocket Money built its personal finance agent with Claude
Rocket Money, a personal finance app used by millions, built Rowan, a financial agent reachable by text message, on Claude via Amazon Bedrock. Rowan routes each request through a Haiku 4.5 classifier to single-responsibility subagents, with Sonnet 5 handling most tasks and Opus 5 reserved for financial tasks needing deeper reasoning, and automates routine tasks like subscription cancellation as deterministic code that an agent repairs when a website changes. During Rowan's beta the team saw near-zero hallucinations, with apparent errors tracing to source data rather than the model, while monthly code commits grew 11x from 11 in December to 128 in July as the team built the agent.
Rocket MoneyClaude Platform · Claude Code · Amazon BedrockCapgemini transforms software engineering with a self-hosted AI assistant powered by Mistral
Capgemini built 'RAISE for Private Software Engineering', an internal, self-hosted AI coding assistant for regulated clients in aerospace, defense and public sectors who require on-premises AI. After switching the underlying model from an open-source LLM to Mistral's Codestral, without changing IDE or CI/CD integrations, code completion accuracy jumped from 50% to 90% and developer adoption rose from 30% to 100% across all client projects, with more than 50 client projects reporting productivity improvements within six months.
CapgeminiMistral Codestral · Mistral Code · Codestral Embed +1ITV uses Databricks to modernize and optimize operations
ITV, the British public broadcast television network with nearly 40 million viewers, built a data mesh architecture on the Databricks Data + AI Platform with Delta Lake and Unity Catalog to connect its marketing, commercial advertising and product experience domains. This took the company from zero to a fully functional data platform within weeks, cut marketing campaign planning from months to minutes, and improved regulatory compliance and data access auditability.
ITVDelta Lake · Unity CatalogOptimizing global journeys through secure data connectivity
Amadeus, which serves more than 400 airlines and over 1 million hotels across 190+ countries, built a Data Mesh on the Databricks Data + AI Platform on Azure with Delta Lake, Delta Sharing and Unity Catalog to process over 10 petabytes of travel data and predict traveler behavior for personalized experiences and dynamic pricing. Amadeus now runs over 100 use cases in production with 950 internal users operating over 20,000 clusters and 60,000 virtual machines daily.
AmadeusDatabricks SQL · Delta Lake · Delta Sharing +1Improving road safety for heavy vehicle operations
Australia's National Heavy Vehicle Regulator (NHVR) used the Databricks Data + AI Platform to analyze more than 4.5 million monthly heavy-vehicle sightings and build machine learning models, including a fatigue engine and crash prediction model, to detect road safety risks in real time (subsecond reporting) across its national fleet of almost 1 million heavy vehicles. The fatigue engine delivered a 4% increase in yielding high-risk fatigue infringements, and the crash model identified vehicles/operators with a 1-in-38 chance of a fatal or serious incident on any given day.
National Heavy Vehicle Regulator (NHVR)· AustraliaDatabricks SQL · Delta LakeImproving affiliate marketing ROI with customer insights
Awin, a global affiliate marketing network, migrated to the Databricks Data + AI Platform with Delta Lake to ingest, analyze and export a terabyte of data daily and power a machine-learning recommendation engine that identifies beneficial advertiser-publisher partnerships. This delivered a 9x increase in member acceptance rate for publisher recommendations and a 20% reduction in compute costs, while cutting data ingestion-to-insight time from a full day to about an hour.
AwinDelta Lake · Agent BricksPersonalizing pharmacy care to improve patient outcomes
Walgreens migrated off legacy Teradata and Hadoop infrastructure to the Databricks Data + AI Platform to build an Information, Data, and Insights (IDI) platform processing 40,000 data events per second, forecasting medication demand and delivering near real-time patient insights to pharmacists across nearly 9,000 locations serving 825 million prescriptions annually. This saved millions of dollars in supply chain costs and increased store productivity by 20%.
WalgreensDatabricks SQL · Delta LakeFinding that special something every time
Pandora, the global jewelry retailer, built a master consumer view (MCV) dashboard on the Databricks Data + AI Platform to unify customer profiles, order data and web activity for personalized marketing across eight markets. This delivered an 80% growth in email marketing from personalization, a 50% increase in click-to-open rate across 65 million personalized emails, and DKK 255M in quarterly revenue driven by personalization.
AIR MILES brings brands closer to customers with Databricks
AIR MILES (LoyaltyOne) migrated its loyalty program data to the Databricks Data + AI Platform to unify billions of collector and retail partner records, building over 250 ML models for personalized marketing, revenue forecasting and fraud detection. This cut pipeline development time from 3-4 months to 2 days, delivered 100 million personalized offers per month, increased product sales 4x through personalized campaigns, and doubled collector response rates using reinforcement learning models.
AIR MILES / LoyaltyOneAgent Bricks · Databricks SQLFastned accelerates the path toward sustainable mobility
Fastned, a European fast EV-charging network, migrated from AWS Redshift to the Databricks Data + AI Platform to unify charger-generated data, maintenance, customer support, app usage and third-party traffic data, enabling near real-time streaming analytics across its Netherlands, Germany, Belgium, France, Switzerland and UK stations. The company achieved 99%+ network uptime and tripled its data capacity within months while expanding from 120 to 225+ charging stations.
FastnedDatabricks SQL · Delta LakeDevsisters delivers a better gaming experience with Databricks
Devsisters, maker of the Cookie Run mobile game franchise with over 200 million users, replaced its costly on-premises analytics infrastructure with the Databricks Data + AI Platform on AWS to analyze in-game activity and player data at scale. This reduced development time by 30% and improved query performance/analysis speed by 200%.
Devsisters· South KoreaDatabricks SQL · Delta Lake · Apache SparkTransforming the Australian rail industry's digital ecosystem
Australian Rail Track Corporation (ARTC) built an Enterprise Integration Data Platform on the Databricks Data + AI Platform and Microsoft Azure to unify siloed data from over 150 applications across its 8,500km rail network, using predictive analytics for track health and freight logistics. This delivered 30% faster time to insight for freight logistics optimization and an 80% reduction in data engineering hours.
Australian Rail Track Corporation· AustraliaDatabricks SQL · Delta Lake · Power BIData-driven drones deliver lifesaving medical aid around the world
Zipline uses the Databricks Data + AI Platform to ingest and analyze massive volumes of time-series data generated by its remote-operated medical delivery drones in Ghana and Rwanda, enabling real-time analysis of flight performance, battery management and logistics to improve drone reliability and save lives.
ZiplineAgent BricksBuilding scalable actuarial services
Milliman, an international actuarial and consulting firm, modernized its data infrastructure on the Databricks Data + AI Platform with Unity Catalog to ingest billions of healthcare and insurance data records and build actuarial and machine learning models. This delivered a 10x reduction in data storage costs, improved cross-cloud collaboration, and improved compliance through centralized, fine-grained auditing.
Milliman· United StatesUnity Catalog · Delta LakeMediaMarktSaturn's MyBuddy voice AI agent empowers retail store associates
MediaMarktSaturn, one of Europe's leading electronics retailers, developed MyBuddy, a multi-language, real-time, voice-enabled in-ear AI agent built on Azure OpenAI in partnership with Accenture and Avanade. It lets store associates in Germany ask questions by voice and get instant, context-aware answers on product specs, warranty information and recommendations pulled from structured product databases and inventory systems in real time, without interrupting customer conversations or needing to type or look at a screen.
MediaMarktSaturn· GermanyAzure OpenAIConcentrix uses GPT-5 to automate invoice processing at 100,000 invoices per month
Concentrix, a global business services provider, built an intelligent document processing solution on Microsoft Power Platform and AI Hub using generative AI models based on GPT-5 multimodal LLM to interpret entire utility invoices (over 300 distinct layout patterns from 100+ providers) in a single step via prompts, replacing a trained-model approach that struggled to scale. The solution now processes 100,000 invoices per month (with plans to reach 800,000), improved extraction accuracy from 65-70% to as high as 99%, cut invoice-pattern development from months to no dev cycle at all, and reduced operational headcount for invoice processing from about 40 to 11 people.
Bridgestone EMEA uses a conversational AI agent to reduce factory rate loss
Bridgestone EMEA, headquartered in Belgium, worked with Avanade to implement data solutions in Microsoft Fabric and a conversational AI agent in Azure AI that correlates machine downtime and loss data with machine cycle data across its global tire factories. The agent lets factory workers of any experience level query production data in natural language to diagnose issues and take predictive and preventive action rather than purely reactive fixes, reducing production downtime, cutting rate loss, and improving worker productivity and operational efficiency.
Legrand's Gaia and Elia AI tools cut product data generation time by 60%
Legrand, a French electrical and digital building infrastructure manufacturer with 300,000+ products across 90 countries, co-developed two generative AI tools with Artefact using Azure OpenAI Service, Azure AI Search and Azure Data Lake Storage: Gaia, which generates and localizes product descriptions, and Elia, an AI chatbot that gives sales and customer service teams fast, accurate product information. Gaia cut product data generation time by 60% (with 82% of marketing managers preferring its output in A/B testing), and Elia saves an estimated 20 minutes per sales rep or customer advisor per day.
Lloyds Banking Group cuts mortgage income verification from days to seconds with ML
Lloyds Banking Group, the UK's largest digital bank, migrated 15 modelling systems from on-premise infrastructure to Google Cloud's Vertex AI (now Agent Platform), giving over 300 data scientists and AI developers scalable machine learning capabilities. In six months the bank ran 80 new ML experiments and launched 18+ GenAI systems into production, including an algorithm that reduces the income verification step in mortgage applications from days to seconds. The migration also cut unplanned ML platform downtime to zero and saved 27 CO2 tonnes of operational emissions.
Observe.AI cuts machine learning costs over 50% with load-testing framework on AWS
Observe.AI, a conversation intelligence platform using a 30-billion-parameter contact center LLM to analyze customer interactions, developed and open-sourced the One Load Audit Framework (OLAF), integrated with Amazon SageMaker, to automatically identify bottlenecks and performance issues in its ML services and predict data load capacity. By fine-tuning SageMaker instance sizes with OLAF, Observe.AI cut ML deployment costs by over 50%, reduced infrastructure sizing time from one week to a few hours, and enabled on-demand scaling to support a 10x increase in data load.
Observe.AIAmazon SageMaker · Amazon SQS · Amazon SNS +1Parloa's voice-first AI agents transform contact centers at scale
Parloa, a Berlin-based AI company founded in 2018, built an enterprise-grade AI Agent Management Platform (AMP) on Microsoft Azure (AKS, Cosmos DB, Azure AI Search and Azure OpenAI Service with GPT-4o) that automates voice-first customer interactions across phone, chat and messaging in multiple languages for sectors including insurance, e-commerce, utilities and travel. A leading teleshopping company using the platform handles 3 million calls a day, with AI-driven shopping recommendations increasing shopping cart value by 10%, while call center agents are being upskilled into AI managers overseeing the automated interactions.
Parloa· GermanyAzure OpenAI Service · Azure Kubernetes Service (AKS) · Azure Cosmos DB +1Grip predicts shipping delivery success to recommend optimal logistics
Grip helps e-commerce companies ship perishable goods (meal kits, frozen food, flowers, pet food) by processing hundreds of thousands of monthly orders plus shipment tracking, weather and customer feedback data on the Databricks Data + AI Platform to predict the probability of delivery success and dynamically recommend the best carrier, insulation, packaging and shipping logistics. Grip builds machine learning models and data engineering pipelines end-to-end on Databricks; customers using its recommendations see a 25% reduction in damage rates and a 30% reduction in shipping costs.
Aktify uses data platform to fine-tune conversational AI sales agents
Aktify provides clients with conversational AI agents that conduct thousands of simultaneous SMS sales conversations with prospects, with average customers generating $227,000 in annual revenue and a 19x ROI. To fine-tune these AI agents to client needs, Aktify's data team uses the Databricks Data + AI Platform and dbt to analyze massive data volumes and uncover insights on where prospects drop off the chat funnel, democratizing data access across the organization. This reduced data engineering hours by 80%, cut new employee onboarding time by 95%, and saved six figures annually in IT operational costs.
AktifyDatabricks SQL · Delta Lake · dbtFreshworks uses machine learning to predictively triage help desk tickets
Freshworks, a CRM and customer experience software provider with over 60,000 enterprise customers, migrated from Hadoop/Cloudera to the Databricks Data + AI Platform to use machine learning for predictively and automatically triaging help desk tickets, greatly increasing ticket resolution speed. Using MLflow, its data science team streamlined the ML lifecycle from training to deployment, training models 4x faster after the migration, while reducing data platform maintenance costs by 75%.
FreshworksDatabricks SQL · Delta Lake · MLflow +1Capillary uses machine learning to boost customer lifetime value with personalized marketing
Capillary Technologies, a loyalty and marketing platform serving brands like Shell and Levi's across 400+ brands and 450 million customers, built an ML workflow with MLflow on the Databricks Data + AI Platform to power personalized, data-driven marketing and loyalty campaigns from over 13 billion customer transaction records. Using Capillary's targeting algorithm on Databricks, campaign conversion rates increased by 600%, and the ability to target and retain customers improved from 1-5% to 200-400%, while compute and infrastructure costs dropped 35%.
Capillary TechnologiesDatabricks SQL · Delta Lake · Agent BricksCleanaway uses machine learning to optimize waste collection fleet routes
Cleanaway, Australia's leading waste and recycling services provider, operationalized machine learning models using MLflow and Delta Lake on the Databricks Data + AI Platform to assess and optimize the most efficient daily routes for its fleet of over 2,800 solid waste collection vehicles, as part of demand forecasting, ESG and predictive maintenance use cases. The transformative results encouraged Cleanaway to expand route optimization across its entire 5,000-vehicle fleet.
CleanawayDelta Lake · MLflow · Power BIAhold Delhaize trains ML models for personalization and inventory forecasting across brands
Ahold Delhaize, one of the world's largest food retail groups (7,452+ stores across multiple countries), built a self-service data platform on Databricks Lakeflow Jobs and Auto Loader that lets data engineers across its brands build pipelines for AI/ML needs. Etos uses the platform for machine learning and model training for personalization and inventory forecasting; Albert Heijn's ML engineering team uses Lakeflow Jobs to orchestrate feature engineering and continuous ML model training/retraining pipelines. The platform runs about 1,165 data ingestion jobs daily, cut deployment time 4.5x (1.5 hours to 20 minutes), and reduced costs by 50% through cluster reuse.
Ahold DelhaizeLakeflow Connect · Lakeflow Jobs · Spark Declarative Pipelines +3Rivian uses machine learning for predictive vehicle maintenance and ADAS
Rivian, an electric vehicle manufacturer, uses machine learning on the Databricks Data + AI Platform to analyze IoT sensor and telemetry data from over 70,000 Electric Adventure Vehicles to power predictive maintenance, addressing potential issues before they affect drivers. Its ADAS team processes telemetric accelerometer data (pitch, roll, speed, suspension, airbag activity) to improve smart driving features like adaptive cruise control and collision warnings. Rivian is also using machine learning to optimize battery efficiency in colder temperatures and improve autonomous driving system accuracy. The platform delivered a 30-50% increase in runtime performance and grew from 250 to 1,000+ platform users in one year.
RivianAgent Bricks · Databricks SQL · Delta Lake +1Sinyi Realty's AI Intelligent Recommendation System personalizes property matching
Sinyi Realty, Taiwan's leading real estate solutions provider, built an AI Intelligent Recommendation System (launched May 2022) on the Databricks Data + AI Platform and Delta Lake, using machine learning to power its Property Recommender Solutions and match properties to buyers based on consumer-centric behavioral and demographic attributes. The system delivered a 200% increase in website click-through rates, a ~30% increase in customer conversions, and a 20% increase in property closing rates.
Sinyi RealtyDatabricks Data + AI Platform · Delta Lake · Unity CatalogInMobi uses machine learning for anomaly detection in ad data pipelines
InMobi, a mobile advertising platform, migrated from a multicloud data warehouse to the Databricks Data + AI Platform to unify data warehousing, AI and analytics workloads. Using Spark Declarative Pipelines for anomaly detection, InMobi achieved a 50% improvement in SLAs and an 80% reduction in costs. Teams use MLflow to build their next-generation AI platform and are exploring large language models to let end users query data conversationally. The migration also delivered 32% lower total cost of ownership, 15% faster queries, and 20% better reporting performance versus their prior multicloud data warehouse.
InMobiDatabricks SQL · Spark Declarative Pipelines · Unity Catalog +1SciPlay uses machine learning for churn prevention and player personalization
SciPlay, a mobile social gaming company behind titles like Jackpot Party and Quick Hit Casino, built machine learning models with MLflow on the Databricks Data + AI Platform, including a churn prevention model that identifies players at risk of churning and customer segmentation models that target cohorts of players with personalized gaming experiences. This drove a 5% uplift in user retention across games, 75% faster time-to-market for new games and features, and reduced time-to-insight for nontechnical teams from 4 hours to 4 minutes (60x faster).
Quartile uses patented machine learning to optimize e-commerce ad bidding
Quartile, the world's largest e-commerce cross-channel advertising platform, built on six patented machine learning technologies, automates and optimizes ad bidding across Google, Facebook, Amazon, Instacart, Walmart and other channels. Its patented ad-performance algorithms run on the machine learning persona in the Databricks Data + AI Platform. After migrating to Databricks and Delta Lake, Quartile reduced the runtime of its daily bid-optimization job from 7.5 hours to 45 minutes and cut data storage by 80% compared to traditional data warehouses.
Barilla uses machine learning for predictive maintenance and supply chain optimization
Barilla, the world's largest pasta producer, uses MLflow on the Databricks Data + AI Platform to operationalize machine learning models across its manufacturing operations. Predictive maintenance models forecast machine failures so maintenance can be scheduled proactively, reducing unplanned downtime, energy use, and emissions. Manufacturing cost deployment models help staff extract and allocate industrial costs and quantify plant losses. The company runs 90% of its business (finance, R&D, manufacturing, supply chain, marketing) on the platform, with 40+ data products in production and 1,000+ dashboards, saving millions of euros in production costs.
SkyHive uses machine learning to power workforce recommendations
SkyHive provides AI-generated labor market intelligence, normalizing global job listings and skill sets across industries and languages. Its data science team uses MLflow on the Databricks Data + AI Platform to orchestrate hundreds of machine learning models that generate workforce and job recommendations, analyzing over 1 petabyte of labor data (150 trillion transactions/day). The lakehouse migration let SkyHive query its full dataset in under 20 minutes (versus 22+ hours to process just 1/100th before) and improved time-to-market for new labor insights applications by 13x.
IFC assesses ESG risk with AI-powered MALENA platform
The International Finance Corporation (IFC), part of the World Bank Group, built MALENA (Machine Learning ESG Analyst), an AI-powered platform that uses NLP, sentiment analysis and named entity recognition to extract ESG insights from unstructured text such as impact assessments, news articles and sustainability reports at scale. Built on the Databricks Data + AI Platform with GPU computing and MLflow for the ML lifecycle, MALENA analyzes 19,000 sentences per minute (a 950x increase over manual review) and identifies 1,200 ESG risk terms, reducing document analysis time from weeks to days and enabling IFC to offer MALENA to external users as the World Bank Group's first AI as a Service.
GreenFlex uses machine learning to identify energy consumption anomalies
GreenFlex, a European leader in environmental management and energy efficiency services, gathers IoT energy consumption data from customers and leverages machine learning to identify consumption anomalies, helping customers devise tailored energy optimization strategies. The company modernized its data infrastructure with the Databricks Data + AI Platform and Unity Catalog to manage and govern terabytes of energy consumption data supporting these ML and BI use cases.
TotalEnergies puts generative AI to work on its trading operations
TotalEnergies Trading & Shipping implemented a generative AI system on AWS using Amazon Bedrock to match structured and unstructured data within its electronic energy trading transaction flows, improving traceability of operations and detection of input errors.
BT Group writes and maintains 2 million lines of code a year using Amazon Q Developer
BT Group, a UK telecommunications company, rolled out Amazon Q Developer to around 2,000 active developers for AI-assisted coding, chat-based troubleshooting, automated unit test generation, and code transformation from older to newer, more secure versions.
CareSource Improves Maternal Health With AI
CareSource, a managed care organization, uses the Databricks Data + AI Platform to combine claims, care management, and authorization data with machine learning via MLflow for predictive maternal care, identifying high-risk pregnancies earlier to accelerate interventions. The platform boosted productivity by up to 50% and reduced model development time from eight weeks to three.
Apotea Uses AWS to Build a Scalable AI Platform and Reinvent the Future of Ecommerce
Apotea, Sweden's largest online pharmacy, built a cloud-based AI platform on AWS using Amazon SageMaker and AWS Lambda, and deployed an AI-powered product recommendation engine using Amazon Bedrock to help customers find relevant products faster, bringing three AI use cases into production within 3 months.
Healthcare for All with Kry using Azure OpenAI Service
Kry (known as Livi in the UK and France), Europe's largest digital-first healthcare provider, uses Azure OpenAI Service to analyze unstructured clinical notes and medical records, transcribing doctors' notes and pre-filling referral letters through its Kry Pro platform to reduce administrative burden on clinicians and better match patients to the right care.
Less paperwork, more time for people: Azure OpenAI at Landsberg Hospital
Klinikum Landsberg am Lech, a German acute-care hospital, deployed an AI language solution built on Azure OpenAI with partner Pexon Consulting that transcribes doctor-patient consultations in real time via tablet, recognizes medical terms, structures the content, and transfers it directly into the hospital information system.
Biogen advances disease therapies through cloud-based AI on Databricks
Biogen migrated its on-premises genomics data infrastructure to Databricks for Genomics on AWS, using the UK Biobank's 500,000-participant dataset and machine learning models to identify genetic variants linked to human longevity and neurological disease, discovering two new drug targets for neurodegenerative diseases like Alzheimer's and Parkinson's.
Chunghwa Telecom Builds Multiple Generative AI Solutions with Amazon Bedrock
Chunghwa Telecom, one of Taiwan's largest integrated telecom providers, migrated its generative AI projects to Amazon Bedrock and built three applications: a software development lifecycle documentation assistant, an interactive virtual English teacher using Amazon Titan and Stable Diffusion XL, and a generative AI marketing assistant built on Amazon Personalize.
Rappi cuts search response times by 40% with Oracle AI solutions
Rappi upgraded its on-demand delivery app's search engine using Oracle Autonomous AI Database, Oracle AI Vector Search, and OCI Generative AI to replace keyword-based search with semantic search that better interprets vague queries, misspellings, and natural-language or image searches across its retail and restaurant catalogs.
HM Land Registry automates 95% of supplier invoices with Oracle Intelligent Document Recognition
HM Land Registry, the UK government agency responsible for registering property ownership across England and Wales, implemented Oracle Cloud ERP's Intelligent Document Recognition to automate processing of supplier invoices as part of a broader Oracle Fusion Cloud ERP and HCM rollout connecting finance and HR.
DHL Supply Chain uses AI-powered intelligent document recognition for invoice processing in Oracle Fusion Cloud ERP
DHL Supply Chain consolidated five ERP systems into one using Oracle Fusion Cloud ERP and adopted Oracle's AI-powered intelligent document recognition to process over 3 million invoices a year with less manual work and higher accuracy, freeing the finance team to focus on higher-value activities.
Albuquerque integrates voice assistant with 311 community contact center using Oracle Service
The City of Albuquerque integrated a voice assistant (Alexa) and Oracle Digital Assistant with its 311 community call center, powered by Oracle Service and Oracle Intelligent Advisor, letting residents report issues like potholes or missed trash pickups by voice and access 24/7 omnichannel support across phone, web, mobile, and voice.
Qonto builds Claude-powered agents that run payroll 5x faster and cut invoice creation time 3x
Qonto, a European business banking platform serving over 600,000 businesses across eight markets, built AI agents on Claude Opus 4.5/Sonnet/Haiku via Amazon Bedrock that prepare bulk payroll transfers, draft client invoices from a CSV, and answer cash-flow questions, with the customer always giving final approval before money moves. Since launching six weeks after the November 2025 project start, the agents send bank transfers 2x faster, cut invoice creation time 3x, run payroll 5x quicker, and have processed customer-approved transfers as large as €100,000.
CRESCO deploys Microsoft 365 Copilot and Azure OpenAI company-wide, saving staff about 10 hours a month
CRESCO, a Japanese systems integrator, trialed Microsoft 365 Copilot with 30 licenses starting April 2024, found it saved the average user approximately ten hours of work per month and cut post-interview data entry for executives from 30 minutes to 5 minutes, then expanded to 1,000 licenses company-wide by January 2025, reaching over 90% usage within six months. CRESCO also uses Azure OpenAI and GitHub Copilot in its core software development processes through its Generative AI Business Transformation Lab.
Hawaiian Electric builds a RAG chatbot on Databricks to answer regulatory compliance queries in seconds
Hawaiian Electric Company (HECO) worked with Databricks Professional Services to build a retrieval augmented generation proof of concept using Databricks AI Search and a RAG model-serving endpoint, letting its regulatory team query extensive regulatory documentation through a conversational chatbot instead of manually reading full texts. The implementation took two weeks to go from zero to a working RAG system and cut the time to answer a single regulatory query from about five minutes to five seconds.
North Dakota University System builds a GenAI 'Policy Assistant' on Databricks for instant policy search
The North Dakota University System (NDUS) used the Databricks Data + AI Platform with Llama 2/DBRX, Foundation Model APIs, Unity Catalog and AI Search to build 'Policy Assistant,' a GenAI application that synthesizes over 3,000 public policy PDFs so staff can query regulations in plain English and get answers with page references and links in seconds instead of hours. The system cut NDUS's time to bring new data insights to market from one year to six months, 10-20x faster than manual policy search.
Vanderbilt University applies NLP on Databricks to analyze decades of TV news archive for research
The Jean and Alexander Heard Libraries at Vanderbilt University transcribed their Vanderbilt Television News Archive and deployed the Databricks Data + AI Platform, using Unity Catalog and Spark Declarative Pipelines, to let researchers run natural language processing and machine learning experiments pairing the archive with datasets like polling data and public policy documents, including studying the impact of presidential executive orders on public discourse. Since implementation, citations of Vanderbilt scholarship using the archive have increased 2.7x.
Dynamo AI pretrains an 8-billion-parameter multilingual LLM in 10 days using Databricks Training
Dynamo AI, a startup building compliance-focused generative AI guardrail products, used Databricks Training to pretrain its Dynamo 8B multilingual foundation model in 10 days, achieving roughly a 20% training speedup after Databricks' AI Research team helped resolve a memory-leakage issue. The model now underpins Dynamo AI's commercial evaluation, remediation and deployment products for regulated GenAI use cases like customer support, onboarding, claims processing and fraud detection.
Dynamo AIDatabricks Training · Agent BricksHeathrow Airport builds a machine learning passenger flow forecasting model on Databricks
Heathrow Airport replaced a spreadsheet-based passenger forecasting process with an ML forecasting model on the Databricks Data + AI Platform. The new model cut forecast turnaround from two weeks (two people) to four hours (one person) and reduced the flight-level forecasting error margin from 30% to 10%, letting the airport proactively plan cleaning, maintenance and staffing around passenger wait times.
Heathrow AirportDatabricks Data + AI Platform · Delta Sharing · Unity Catalog +2IDENTT builds a scalable, secure, AI-powered identity verification solution on AWS
IDENTT, which provides biometric and document-verification identity checks to banks, fintechs, public sector organizations and gambling operators across 16 countries, moved off on-premises GPUs to AWS to design, train and host its fraud-detection AI models at scale using Amazon EKS and Amazon SageMaker. The move achieved up to 60% GPU cost savings versus on-premises infrastructure, cut ML iteration cycles from weeks to hours, and let IDENTT deploy to new AWS regions in minutes to onboard customers in new countries.
Enhancing Engagement: Genesys Uses Amazon Bedrock for Secure, Scalable AI
Omnichannel customer experience company Genesys integrated Amazon Bedrock into its platform to access foundation models including Anthropic and Titan for generative and foundational AI, while helping ensure compliance with GDPR. The integration lets Genesys optimize AI for high-volume, low-latency workloads, processing 1.5 billion customer calls per month in real time.
GenesysAmazon Bedrock · Anthropic AI · TitanPowering efficient manufacturing worldwide
Hanwha Corporation unified data from its Global, Momentum, and Engineering and Construction divisions onto the Databricks Data + AI Platform, using Delta Lake and Unity Catalog to build an integrated data and AI system for scenario analysis and scheduling. The platform, with Databricks support for machine learning and large language model adoption, cut manual reporting time by more than 97% and reduced input-screen development time by more than 90%.
Closing deals with better customer insights
Xanadu Realty, an Indian real estate firm, partnered with Exponentia.ai to build the Xanadu Decision Engine (XDE) on the Databricks Data + AI Platform, enabling conversational analytics, lead scoring and AI-driven virtual assistance for sales teams. Using Delta Lake, a feature store and MLflow to manage the ML lifecycle, Xanadu achieved a 25% increase in lead-to-customer conversion ratio and is developing further ML models and generative AI capabilities, including LLM-powered chatbots.
Building trust in mobile communications
First Orion, which protects mobile subscribers from scam calls by analyzing over 350 million calls daily, migrated from AWS EMR to the Databricks Data + AI Platform to power anomaly detection, fraud prevention and branded-calling products, boosting productivity by more than 35% and generating over $12.7 million in value over three years. The company is also using open LLMs such as MosaicML MPT and Dolly on the lakehouse to build conversational AI for document search and scam interception, with preliminary results showing a 5x increase in search efficiency.
Unlocking the potential of social banking to the underserved
KASIKORN LINE, operator of Thailand's LINE BK social bank, used the Databricks Data + AI Platform to build a credit scoring model that combines conventional financial data with behavioral data from the LINE messaging app to assess creditworthiness for underbanked and unbanked customers. The platform cut time to insights by up to 60x, scaled data volumes for training ML models 2-5x, and accelerated experimentation for social banking models by up to 2x.
Data-powered car-sharing gives people the freedom to drive
GetGo Carsharing, Singapore's largest car-sharing company, migrated to the Databricks Data + AI Platform to unify telemetry, payment and image data from over 300,000 drivers and 3,000 vehicles. Using geospatial analysis and natural language processing, GetGo reduced fuel theft by 50% by detecting fraudulent refueling patterns, accelerated time to insights by 66%, and cut time to market for new data products by 20%.
Ushering in a new era of personalized retail shopping
Emart24, a Korean convenience store chain with over 6,500 stores, migrated to the Databricks Data + AI Platform to process transaction data from more than 6 billion transactions and 80,000 products, cutting analysis time from 27 hours to 1 hour (96% reduction) and lowering compute costs by 93%. The new platform underpins AI-powered product recommendation services, a cashierless smart store system, and demand forecasting for logistics centers.
Enabling business growth with happier consumers
Aditya Birla Fashion and Retail Ltd. (ABFRL) unified data from 4,000 retail locations onto the Databricks Data + AI Platform to power machine learning across markdown pricing, in-store recommendations, detractor segmentation via k-means clustering, and market basket analysis, achieving 20x faster ML serving for markdown models and cutting model development time in half. The company also uses LLMs to auto-generate product descriptions and NLP for sentiment analysis and topic classification of customer feedback.
Global fashion leader increases revenue with better data
Burberry combined the Databricks Data + AI Platform with Snowplow's Behavioral Data Platform to build a real-time AI-Ready Customer 360 from website clickstream data, replacing daily data batches. The platform runs 40 personalized machine learning models covering product recommendations, propensity scoring and customer lifetime value, cutting clickstream data latency by 99% and extending cookie duration 52x, letting in-store client advisors see customers' recent online behavior on mobile devices to deliver personalized service.
Personalizing the consumer lending experience
Oakbrook Finance, a UK consumer lending fintech, moved to the Databricks Data + AI Platform on Google Cloud to unify data science and analytics for its loan decisioning platform, O6K, replacing a legacy SQL Server Integration Services environment that could not support advanced risk-prediction analytics. The new platform enabled faster development of data science models for personalized lending decisions, projected 14% cost savings over three years, supported two new financial products launched in 12 months, and is forecast to drive a 5% revenue increase from new top-up loans.
Shaping global infrastructure with ironclad manufacturing
Gerdau, Brazil's largest steel producer, consolidated a complex homegrown open-source data ecosystem onto the Databricks Data + AI Platform, using Delta Lake, Delta Sharing and Unity Catalog to enable real-time processing for digital twin simulations of production lines. The move cut data processing time from 1.5 hours to 12 minutes, delivered a 40% cost reduction for data processing and 80% faster development of streaming solutions, and enabled new AI applications including predictive maintenance, image and text classification, and an LLM-based upskilling assistant for employees.
Transforming the way people manage their taxes
Jobis & Villains, which runs the SamjumSam AI accounting and tax-filing platform used by over 19 million registered users in Korea, unified previously siloed data pipelines on the Databricks Data + AI Platform with Unity Catalog and Databricks SQL. The company built a real-time streaming pipeline that triggers personalized prompts based on customer behavior, generating 2 billion KRW in additional sales, while cutting data engineering resource utilization by 20%.
Smarter product development powered by real-time insights
Anker Innovations unified over 200 terabytes of business, product, marketing and sales data on the Databricks Data + AI Platform, replacing a fragmented AWS microservices setup. Using Delta Lake, Delta Sharing and Unity Catalog, the company enabled 500+ employees to collaborate and produce 1,000+ BI reports and dashboards, and has begun integrating large language models for use cases such as auto-generated SQL commands and code review, with plans to build a generative AI knowledge repository.
Digitally optimizing energy assets for decarbonization and cost savings
SSE Energy Solutions, a UK/Ireland renewable-focused energy company, replaced a manual virtual-machine-based ML workflow with the Databricks Data + AI Platform on Azure to run machine learning optimization models for its combined heat and power (CHP) networks, including digital twins and demand forecasting. The move cut time spent on manual forecasting by 12x and is predicted to save £350K per year through energy optimization.
Building a safer and more sustainable world
Novade, a construction management software company, partnered with Databricks to modernize its analytics and ML infrastructure, moving from a homegrown Apache Airflow stack to the Databricks Data + AI Platform with Delta Lake, Unity Catalog and MLflow. The move reduced total cost of ownership by 60% and supported a 100% increase in new clients, while enabling ML models for predicting incident risk affecting worker safety and project delivery schedules.
Michelin uses machine learning to predict stock outages 15 days ahead in its supply chain
Michelin used the Databricks Data + AI Platform to democratize data access across the organization and build machine learning models trained on past supply chain data to predict stock levels 15 days ahead and recommend actions to prevent outages. Michelin used Databricks for unifying input data, collaborating on model training, and deploying and orchestrating models into production, with data continuously streamed and kept up to date in Delta Lake. The stock-outage prediction use case was an early success that helped Michelin scale to hundreds of AI and data use cases across the company.
Vega's cyber defense platform returns 67% of analysts' time with Claude
Vega, an agentic cyber defense platform used by Fortune 200 companies, global banks and healthcare providers, built an agentic detection-triage-investigation-optimization loop that runs Claude directly on security data where it lives, avoiding costly SIEM ingestion, delivered via Amazon Bedrock including an EU-resident deployment in Frankfurt for GDPR compliance. Across production deployments, customers reclaim roughly 67% of analyst time, complete investigations up to 44 times faster at 82% lower cost than legacy SIEMs, and one Fortune 500 insurer cut mean time to triage from 25 minutes to under 3 minutes.
Deepgram ships 4-10x more durable code with Claude
Deepgram, which builds speech-to-text, text-to-speech and Voice Agent API models, rebuilt its engineering organization around Claude Code and Claude Enterprise after an internal bake-off and cohort study. Regular and power Claude users produced durable code (code that stayed in the codebase rather than being replaced) at roughly 4-10x the rate of non-users. The company also built Deephive, a multi-agent support system where a central agent spawns parallel read-only workers to diagnose customer incidents, cutting incident triage from multi-day back-and-forth to minutes, and its most productive engineering team now runs about 95% Claude-written code.
DeepgramClaude Code · Claude EnterpriseTapestry Transforms Enterprise Knowledge Management Using Generative AI on AWS
Tapestry, the luxury fashion retailer behind Coach, Kate Spade New York and Stuart Weitzman, built an enterprise-wide knowledge management chatbot using generative AI on AWS, powered by Amazon Bedrock with Amazon Titan foundation models and the Claude 3 Haiku large language model. Built, tested and deployed in 4 months, the solution is used by roughly 300 employees across six teams, reducing the time employees spend searching for answers and the burden on subject matter experts.
Tapestry· United StatesAmazon Bedrock · Amazon Titan · Claude 3 HaikuNTT DATA Transforms Its Enterprise with Agentic AI in Microsoft Fabric, Azure AI Foundry
NTT DATA adopted Microsoft Fabric data agents integrated with Azure AI Agent Service to build conversational, autonomous AI agents that let employees query enterprise data in natural language and get role-specific insights and recommended actions. Early deployments included a suite of HR-focused agents analyzing staffing, chargeability and productivity data, and agents monitoring back-office KPIs. The AI-driven platform delivered at least 50% faster time to market for new data solutions and improved productivity across HR, sales and operations functions.
NTT DATA· JapanMicrosoft Fabric · Azure AI Agent Service · Azure AI Foundry +1SoundHound brings voice and conversational AI solutions to products and services worldwide using OCI AI infrastructure
SoundHound AI migrated its hybrid on-premises and cloud technology platform to Oracle Cloud Infrastructure in 2021, becoming an early adopter of OCI AI infrastructure to run the complex AI models behind its voice and conversational AI agents. The company saw a 50% to 60% performance boost and a 50% cost reduction while doubling usage in its first six months on OCI, growing from about 100 million queries in its first month on OCI to more than 1 billion queries a month by year's end, and expanding into restaurant, healthcare and financial services verticals.
SoundHound AI· United StatesOracle Cloud Infrastructure (OCI) · OCI AI InfrastructureThrifty Car Rental UAE reduces ID check times to seconds with AI from OCI
Thrifty Car Rental UAE, part of the ARENCO Group, implemented an AI-powered, real-time KYC automation solution on Oracle Cloud Infrastructure, using OCI Enterprise AI and OCI Document Understanding for document extraction, validation and anomaly detection on passports, Emirates IDs and driving licenses. Going from concept to rollout in four weeks, document verification time fell from several minutes per customer to under five seconds, enabling higher throughput without adding staff.
First Abu Dhabi Bank speeds up HR tasks with Oracle's AI chatbot
First Abu Dhabi Bank (FAB) partnered with Oracle to develop an AI-powered HR chatbot using Oracle Digital Assistant and Cohere AI models on dedicated AI clusters, built in just four months using Oracle Digital Assistant's sandbox environment. The chatbot automates leave, salary, and other HR tasks, delivering conversational HR information that has helped improve efficiency, reduce costs, and accelerate HR processes.
First Abu Dhabi Bank· United Arab EmiratesOracle Digital Assistant · Oracle Fusion Cloud HCM · Cohere AI modelsIDIKA helps Greek citizens access healthcare with Oracle-powered MyHealth app
IDIKA, Greece's government-owned national health IT organization, built the MyHealth app on Oracle Cloud Infrastructure Kubernetes Engine, using dedicated AI clusters running the Cohere Command A model with retrieval-augmented generation to instantly surface each citizen's appointments, test results, vaccination history, reminders, prescriptions and referrals in Greek. More than 1.5 million Greek citizens have adopted the app.
IDIKA· GreeceOracle Cloud Infrastructure (OCI) Kubernetes Engine · Cohere Command A · Retrieval-Augmented Generation (RAG)League cuts product development cycle times in half after company-wide Claude rollout
League, a digital health platform, signed a Claude Enterprise agreement and went live company-wide within days, then held a 48-hour internal event pushing teams to ship real backlog items to production. Claude adoption reached 98% (up from ~80% at rollout), cycle time from idea through pull request fell by half, AI-authored code rose from about 70% to 98%, vendor security risk assessments dropped from multiple weeks to 15 minutes (49 of the last 53 validated safe by Claude and signed off by a human), and one customer implementation landed two months ahead of schedule.
LeagueClaude Enterprise · Claude Code · SwarmSatispay's engineers generate 75% of committed code with Claude Code, cutting a Java upgrade from 4 weeks to 4 days
Satispay, Italy's leading independent payment network with 6 million consumers, rolled out Claude Code to its engineering organization after a structured 30-day evaluation, deploying it fleet-wide within 30 days. Engineers now generate over 75% of monthly committed code with Claude, achieved 10x faster modernization of the core transaction service (a Java 8-to-21 and Spring upgrade done in under four days versus a four-week estimate), cut data-transformation Lambda development from three days to under an hour, and completed an 18-month code update roadmap in 7 months.
Gjensidige breaks down data silos and speeds AI model deployment with Databricks
Gjensidige migrated to the Databricks Data + AI Platform to unify data engineers, scientists and analysts on one tech stack, rebuilding a single-person-dependent commercial renewal rules engine and cutting AI model development and deployment time from days or weeks to a few hours.
InfoCert replaces custom ML models with Amazon Bedrock GenAI, projecting 80% lower onboarding costs
InfoCert, a European provider of trusted digital communication solutions, evolved its Intelligent Multichannel Classification and Routing (IMCR) email/document processing system into IMCR AI, replacing months-long custom ML model training with Amazon Bedrock foundation models and prompt engineering. The proof of concept achieved classification results close to the prior custom system while InfoCert projects an 80% reduction in startup, development and configuration costs and a 20% reduction in ongoing running costs when onboarding new customers.
Nest Bank rolls out Microsoft 365 Copilot to Polish staff, cutting workshop material prep time 90%
Nest Bank, a Polish bank focused on micro-entrepreneurs, migrated its data to Azure and Azure Databricks, first built an internal Azure OpenAI-powered admin assistant, then rolled out Microsoft 365 Copilot company-wide as one of the first companies in Europe to do so. Copilot cut the time to create workshop materials from an hour to five minutes (a 90% reduction) and is used to draft meeting agendas, summarize discussions and organize follow-up tasks, while the bank doubled sales and grew daily mobile transactions from 60,000 to 80,000 with the same headcount over 12 months.
Pictet rolls out Claude Code to 700 staff, cutting a two-week compliance gap analysis to hours
Swiss private bank Pictet, which manages around CHF 800 billion, rolled out Claude Code and Claude Cowork to about 700 people across its technology, product and business teams, training over 500 staff through 25 workshops with partner Artefact, with business data processing kept in the EU and Switzerland behind a purpose-built API gateway. A compliance gap analysis comparing over 50 internal directives against current regulations, originally sized at two weeks for a three-person team, was completed in hours, and product managers now generate working prototypes in two hours instead of two weeks.
AES cuts safety audit costs 99% using Claude AI agents on Google Cloud's Gemini Enterprise Agent Platform
AES built AI agents using Anthropic's Claude models on Google Cloud's Gemini Enterprise Agent Platform to automate its health and safety audit process, which previously required about 100 employee hours per audit across more than 1,500 audits a year. After a two-month build, AES ran more than 50 agent audits and saw audit costs fall 99%, audit turnaround drop from 14 days to one hour, audit accuracy rise 10-20%, and annual audit capacity double, with a human still reviewing each agent-assisted audit.
Deutsche Bank builds DB Lumina, a RAG research agent that saves analysts up to two hours per report
Deutsche Bank Research built DB Lumina, an AI research agent on Google Cloud (GKE, Vertex AI Gemini models, Cloud SQL pgvector, Discovery Engine RAG) that lets analysts chat with documents, use standardized prompt templates, and ground answers in enterprise knowledge with inline citations. Since going live in September 2024, DB Lumina has reached about 5,000 users across Deutsche Bank Research, saving analysts 30-45 minutes preparing earnings note templates and up to two hours writing research reports and roadshow updates, with one analyst increasing report analysis depth by 50%.
MEDITECH rolls out Gemini in Google Workspace, saving employees 7 hours per week on manual tasks
MEDITECH, a healthcare EHR provider serving customers in more than 23 countries, ran a Gemini for Google Workspace trial across multiple divisions with support from Google Cloud partner Onix, tracking use cases and results in a shared spreadsheet. Employees used Gemini to summarize Google Meet calls, draft and revise emails and documents, and consolidate industry news, saving an average of seven hours per employee per week and improving job satisfaction, which led MEDITECH to roll Gemini out company-wide.
CyberArk combines Apache Iceberg and Amazon Bedrock AI agents to cut support case resolution time up to 95%
CyberArk redesigned its technical support pipeline using AWS Fargate, PyIceberg and Amazon Bedrock (Claude 3.7 Sonnet) to auto-generate grok patterns for parsing diverse vendor log formats into Iceberg tables, and built autonomous AI agents that query Athena and CyberArk's knowledge base to perform root-cause analysis from natural-language questions. The system cut case resolution time by up to 95% (complex cases from up to 15 days to 2-4 hours), let engineers handle up to 4x more cases per day (from 2-3 to 8-12), and made logs queryable within minutes instead of hours or days.
Medigold Health uses Azure OpenAI to automate clinical report generation, lifting clinician retention 58%
Medigold Health, a UK occupational health provider serving over 3,500 businesses, migrated to Azure App Service and used Azure OpenAI Service with Azure Cosmos DB and Azure SQL Database to automatically generate medical reports from clinicians' consultation notes in about 15 seconds, down from extensive manual notetaking, dictation and typing. The automation significantly cut clinicians' administrative burden and led to a 58% rise in clinician retention and greater job satisfaction.
Orizon fine-tunes GenAI models on Databricks to automate 63% of healthcare fraud-detection code documentation
Orizon, a Brazilian health tech fraud-detection company managing 40,000+ medical billing rules, fine-tuned Llama2-code and DBRX models on Databricks using MLflow and Model Serving, and embedded the resulting LLM chatbot into Microsoft Teams via Unity-Catalog-governed data, so business users could get instant rule explanations instead of waiting on C++ developers. The system now automates 63% of documentation workflows, cut documentation time to under five minutes, freed up 1.5 developers, and is estimated to add 1 billion BRL in productivity.
Circuitry.ai builds RAG chatbots on Databricks to give manufacturers' customers decision intelligence
Circuitry.ai used Delta Lake, Unity Catalog, MLflow and Model Serving on Databricks to build customer-specific retrieval augmented generation chatbots, powered by Llama and DBRX, that let manufacturers of complex products like heavy equipment and automotive parts query proprietary product documentation instead of searching large PDF manuals. The RAG-powered Decision AIdvisor tool cut the time customers spend searching for information by 60-70%.
Quago builds ML behavioral analytics on Databricks to detect fraud and cheating in online games
Quago analyzes over 200 device-sensor data points per player swipe using machine learning models built on Databricks Delta Lake and Spark to detect cheating, churn and user-acquisition fraud in real time for gaming companies. Migrating from a vanilla Parquet data lake to Databricks let Quago run SQL queries 4x faster, reduced customers' server costs by an estimated 25%, and is projected to save gaming companies tens of millions of dollars in in-app purchase fraud losses.
Locala builds a GenAI virtual assistant on Databricks that explains ad campaign data in natural language
Locala, an omnichannel advertising platform, fine-tuned a Llama 2 model on Databricks using MLflow, Lakeflow Jobs and Model Serving to build 'Insights AI,' a virtual assistant that lets planners and clients ask natural-language questions and receive explanations of advertising campaign performance charts and figures. A single data scientist was able to build the tool, which is now used in client-facing sales presentations, and Locala plans to evolve it into a RAG system for broader querying.
Discovery Bank combines ML and GenAI on Databricks to power a hyper-personalized next-best-action banking model
Discovery Bank built a next-best-action (NBA) framework on the Databricks Data + AI Platform, using Delta Lake, MLflow and Unity Catalog, that combines actuarial models, machine learning and generative AI to create a behavioral fingerprint for each client, driving segmentation, pricing, risk management and AI-generated communication templates for client servicing. The NBA model produced a 40% uplift in the impact of customer engagement activities, with data processing 20x faster and data product creation 5x faster than the bank's legacy environment.
Crisis Text Line fine-tunes an LLM-powered conversation simulator on Databricks to train crisis counselors
Crisis Text Line, a nonprofit text-based mental health crisis service supporting 1.3 million conversations a year, used Databricks MLflow and fine-tuned versions of Llama 2, trained on synthetic conversation role-plays created by clinical staff, to build an LLM-powered conversation simulator that lets new volunteer crisis counselors practice engagement strategies without real-world repercussions. The simulator has been used by over 50 volunteers and clinicians, and the organization is also developing a conversation-phase classifier to help assess response quality.
FiscalNote streamlines ML and NLP legislative-analytics model deployment on Databricks, tripling release cadence
FiscalNote, a legislative and regulatory data analytics company, used Databricks MLflow and Model Serving to automate tracking, deployment and no-disruption updates of its machine learning and NLP models, which perform tasks like legislative outcome sentiment analysis and binary classification of how a congressperson will vote. The change let FiscalNote deploy ML models 3x faster and increased the number of models it ships annually compared to before Databricks.
Altana builds compound GenAI systems on Databricks to classify goods for global trade compliance
Altana, a value chain management platform, combined custom deep learning models, RAG-based fine-tuned agent workflows and RLHF on the Databricks Data + AI Platform to generate tax and tariff classifications and legal justifications for cross-border goods, and to enrich its global supply chain knowledge graph. Using MLflow, Model Serving, Delta Lake and Unity Catalog, Altana now trains and deploys GenAI models 20x faster and achieved 20-50% better model performance across its most demanding workloads.
AME Digital builds a machine learning fraud detection model on Databricks reaching 90% accuracy
AME Digital, a Brazilian fintech digital wallet with over 33 million customers, used Delta Lake, MLflow and Unity Catalog on the Databricks Data + AI Platform to unify over 700 previously siloed datasets and build a fraud detection algorithm that analyzes transactions in real time to flag suspicious behavior before it occurs. The model reached 90% accuracy in fraud prevention, ran 3.2x faster than the prior on-premises pipeline, and helped cut operational costs by 34% and job execution time from 5.5 hours to 50 minutes.
Thomas uses GenAI RAG on Databricks AI Search to personalize psychometric assessment insights
Thomas, a workplace psychometric assessment provider, used Databricks AI Search and retrieval augmented generation to replace static, one-size-fits-all assessment reports with interactive, personalized query-based insights drawn from its large content database. The GenAI integration became the foundation of Thomas's new 'Perform' product, was integrated into three different platforms including Microsoft Teams within three months, and let the company go from proof of concept to minimum viable product in weeks.
Jeongyookgak's Chorocmaeul builds a customer churn prediction model on Databricks to drive CRM campaigns
Chorocmaeul, a Korean D2C eco-friendly food franchise acquired by Jeongyookgak, built a customer churn prediction model on the Databricks Data + AI Platform that analyzes customer purchase cycles to trigger automated CRM messaging during periods of churn risk. The Databricks-powered CRM campaigns increased active customers by at least 30%, improved retention by 10%, tripled customer conversion on coupon reminders and more than doubled marketing ROI.
Sight Machine's AI scheduling agent cuts a beverage manufacturer's non-value-added production time 75%
Sight Machine integrated OptiMind, a small language model from Microsoft Research, through Microsoft Foundry to build an AI-driven scheduling agent for a major beverage manufacturer that had been replanning production schedules 10-15 times per week through manual meetings. OptiMind converts scheduling problems described in natural language, combined with real-time plant data on line speeds, changeover times, and ramp-up durations, into Mixed-Integer Programming optimization models, automatically regenerating an optimized schedule when floor conditions change. The system cut non-value-added production time by 75%, improved overall plant productivity by more than 10%, reduced changeover-related downtime by nearly 80%, cut ramp-up delays by nearly 60%, and reduced clean-in-place sanitation downtime by almost 90%, eliminating hours of manual planning work each week without adding production infrastructure.
Sight Machine· United StatesMicrosoft Foundry · OptiMind · Azure Machine Learning +2MediaRadar | Vivvix uses GenAI and computer vision on Databricks to automate video ad classification
MediaRadar | Vivvix built a GenAI pipeline on Databricks using Spark Structured Streaming, the Ray cluster, Whisper for transcription/translation and OCR to classify video ads across millions of product categories. A dual-layer approach combines GenAI product identification with in-house classification models, increasing hourly ad-classification throughput from about 800 to 2,000 creatives and cutting model-experimentation time from two days to half a day.
SCAN Health Plan uses NLP and ML models on Databricks to reduce voluntary disenrollment among senior members
SCAN Health Plan built an Insights Platform on the Databricks Data + AI Platform to analyze unstructured data such as call center notes and medical charts with NLP. A model that identified members likely to ask about primary care physician reassignment let SCAN intervene early, decreasing disenrollment of newly enrolled members by 3.6%, and a related model reduced disenrollment during annual enrollment by 4.59%.
UK Power Networks deploys a predictive machine learning model on Databricks for network load forecasting
UK Power Networks migrated from an on-premises data warehouse to the Databricks Data + AI Platform and rolled out a Network Load Forecasting and Estimation machine learning model, using Unity Catalog for access management and Delta Sharing for internal data collaboration, to predict network headroom, reduce unplanned downtime and support the UK's net-zero transition.
Kantar Worldpanel fine-tunes GenAI models on Databricks to generate market-insight training data faster
Kantar Worldpanel used the Databricks Data + AI Platform and MLflow to experiment with Llama, Mistral, GPT-4 and GPT-3.5 for a proof of concept linking receipt descriptions to product barcode names. GPT-4 produced the most accurate outputs (94%), which the team used to automatically generate a training dataset of about 120,000 receipt-to-barcode pairs in a couple of hours to fine-tune a smaller production model.
Grainger builds a GenAI RAG-powered product search to help call center agents navigate 2.5 million products
Grainger implemented a retrieval augmented generation (RAG) search system on the Databricks Data + AI Platform, using Databricks AI Search and Model Serving to let customer service and sales teams retrieve accurate product information from a 2.5 million-item catalog with over 400,000 daily product changes, improving search recall and reducing errors for call center agents.
KPMG modernizes its data estate on Azure Databricks to power AI, analytics and risk models
KPMG LLP moved off legacy on-premises Hadoop infrastructure onto Azure Databricks as the core engine for its data transformation, analytics and AI model development. Over 850 active users leverage Unity Catalog for governed data federation across 500TB+ of data, MLflow for MLOps, and Databricks Assistant for natural-language querying, supporting use cases in engagement risk evaluation, next-best service and forecasting across finance, risk and HR.
Haier Europe uses Amazon Bedrock for automatic machine translation across 27 languages
Haier Europe, pursuing its vision to be a global leader in appliances and smart home solutions, is implementing Amazon Bedrock generative AI to provide automatic machine translation across 27 languages, increasing the efficiency of internal processes as part of a broader AWS-based IoT and security-by-design platform for its smart home devices.
Hitachi uses AI on Databricks to detect railway overhead line defects from onboard train video in near real-time
Hitachi installed cameras on trains to capture video of 40,000 km of overhead rail lines and built an AI pipeline on Databricks Lakehouse, using Delta Lake for storage and MLflow for model management, to analyze the footage and alert rail network operators to defects or displacement in near real-time, enabling predictive rather than reactive maintenance.
Abacus Insights empowers smarter decisions to transform healthcare outcomes with Databricks
Healthcare data company Abacus Insights, managing data for 23 million health insurance members, built a secure RAG-based chatbot using Databricks Delta Lake, Unity Catalog and Llama 3.1 model deployment, launching a beta AI-enabled data management platform in just four months while maintaining HIPAA and HITRUST compliance.
Tata 1mg expands healthcare accessibility across India with Databricks
Indian healthcare company Tata 1mg migrated from a legacy data warehouse to the Databricks Data + AI Platform with Unity Catalog and Delta Lake, reducing ETL costs by 50% and enabling over 1,000 non-data business users to access insights for location analytics, delivery route optimization and predictive maintenance.
Worldline enables real-time insights for smarter merchant decisions with Databricks
European payment processor Worldline consolidated data from multiple acquisitions onto a Databricks medallion architecture with Delta Lake and Unity Catalog to unify over 50 billion annual transactions, reducing infrastructure costs by €200,000 per month, lifting team productivity 40%, and increasing scheme reporting speed 93%.
MissionWired drives donor campaigns through predictive data on Databricks
MissionWired used Databricks (Spark Declarative Pipelines, Unity Catalog, Databricks SQL) to process 275 billion donor data points across its Cooperative Email Database aggregating 150+ nonprofit organizations, helping raise $350 million for clients since 2020 with member organizations achieving full ROI within 12 months.
Making urban mobility effortless with smarter parking solutions
Estapar, Brazil's largest parking network, unified over 600 data sources on the Databricks Data + AI Platform, using AI/BI Genie for self-service analytics and Spark Declarative Pipelines for automation, cutting license plate analysis from three days to real time and delivering a 20x productivity boost.
Estapar· BrazilDelta Lake · Lakeflow Jobs · Spark Declarative Pipelines +3Baylor University uses embedded AI to raise payroll data validation efficiency 65%
Baylor University combined Oracle Fusion HCM Analytics with Oracle Payroll Activity Center, using new AI-enabled capabilities as part of its payroll automation transformation. The change delivered a 65% increase in payroll data validation efficiency and a 49% reduction in payroll processing time.
Baylor University· United StatesOracle Fusion HCM Analytics · Oracle Payroll Activity Center · Oracle Fusion Cloud Human Resources +1HP crafts marketing campaigns that resonate with customers using Databricks and Uniphore
HP centralized first-party customer data on the Databricks Data + AI Platform with Delta Lake and Unity Catalog, and connected it to Uniphore's HybridCompute for federated query pushdown, cutting campaign setup from 2 weeks to 2 hours and processing 400 million records in seconds.
LG Electronics elevates the home experience with a customer-centric data platform on Databricks
LG Electronics built its Intellytics Customer 360 (IC360) platform on Databricks with Delta Lake and Databricks SQL to unify customer purchasing data via ID pinning, cutting data unification processing time from 10 hours to 3 hours (70% reduction) and total data system costs by 50%.
LG ElectronicsDelta Lake · Databricks SQLElasticRun helps small businesses improve supply chain with Databricks
Indian B2B e-commerce platform ElasticRun rebuilt its data infrastructure on Databricks with Delta Lake, Spark Declarative Pipelines and MLflow to manage over 10,000 machine learning models for supply chain and demand forecasting, cutting data pipeline slowdowns by 90% and IT costs by 33%.
Hapag-Lloyd enhances corporate audit efficiency with GenAI on Databricks
German shipping company Hapag-Lloyd fine-tuned Databricks' open-source DBRX model and built a RAG chatbot to automate audit finding generation and executive summaries, cutting review time per finding by 66% and executive summary review time by 77%.
OMV drives eco-innovation in the energy sector with a RAG chatbot on Databricks
Vienna-based energy company OMV built a RAG chatbot on Databricks Agent Bricks Custom Agents to help staff navigate over 100,000 pages of product certifications and EU regulatory data, cutting document/web search time by up to 20% and reducing vector search costs by up to 25x.
UPL optimizes supply chain operations with demand forecasting on Databricks
Global agriculture company UPL unified internal and third-party data sources (SAP, Salesforce, IoT, weather) on the Databricks Data + AI Platform with Unity Catalog to build a demand forecasting model that reduces product spoilage and supports AI-driven crop management and pest control across 20 countries.
UPLDatabricks SQL · Delta Lake · Delta Sharing +2Simpl ensures frictionless online payments for shoppers with Databricks
Indian checkout platform Simpl used Databricks SQL and Lakeflow Jobs to consolidate siloed data and speed up ML model training from several weeks to a single day, cutting time to market for ML models by 90% and improving analytics team turnaround time by 35%.
Grupo Casas Bahia democratizes data at scale with Databricks
Brazilian retailer Grupo Casas Bahia migrated from a legacy SAS warehouse to Databricks, using Databricks Assistant to automate 80-90% of ETL script conversion, AI/BI Genie for nontechnical data access, and Unity Catalog for governance, cutting costs 70% and upskilling 107 nonengineering employees to use SQL and Python.
Kongsberg Digital achieves 60% cost reduction and real-time data refresh with Databricks
Norwegian industrial SaaS provider Kongsberg Digital modernized its data warehouse on Databricks, increasing data refresh frequency from four times daily to hourly (a 300% increase) and cutting data processing costs by 60%.
TMBThanachart Bank invests in smarter personalization with advanced analytics on Databricks
Thai bank TMBThanachart migrated its in-house Delphi personalization engine to Azure Databricks with Unity Catalog and Lakeflow Jobs, reaching 5.5 million customers (up from 500,000), achieving a 10x increase in targeted offer capacity and 2x faster digital sales growth, while cutting insight latency from two days to under one.
Allianz Direct helps contact center teams improve customer satisfaction with GenAI on Databricks
Munich-based online insurer Allianz Direct built a RAG-based agent-assist tool on the Databricks Data + AI Platform using Agent Bricks Custom Agents to give contact center agents faster answers on policy terms and conditions, achieving a 10-15% uplift in answer accuracy over their prior GenAI solution.
FunPlus gains new player insights to optimize gaming with Databricks
Gaming company FunPlus migrated from Snowflake to the Databricks Data + AI Platform with Delta Lake, Unity Catalog and MLflow for BI dashboards and predictive player-behavior models, cutting operational costs 40%, improving BI efficiency 20%, and increasing data engineer productivity 48%.
ESGpedia powers sustainable finance with data intelligence on Databricks
APAC ESG data platform ESGpedia unified about 300 fragmented data pipelines onto a Databricks lakehouse with Unity Catalog and used Agent Bricks Custom Agents to build a RAG solution for sustainability data classification, achieving 4x cost savings in data pipeline management.
DDI helps companies develop exceptional leaders with Databricks
Leadership development firm DDI used Databricks Notebooks, DSPy prompt optimization and fine-tuned Llama3-8b models to automate scoring of behavioral leadership simulations, cutting simulation report generation from 48 hours to 10 seconds, doubling recall score, and improving F1 score by 13%.
GovTech unlocks data insights to improve nationwide services with Databricks
Singapore's Government Technology Agency (GovTech) migrated from an on-premises dashboarding system to the Databricks Data + AI Platform on AWS with Unity Catalog and Delta Lake, cutting dashboard creation time from 90 to 30 days, democratizing data across 50% of corporate divisions in the first year, and saving 8,000 labor hours annually.
GovTech· SingaporeDelta Lake · Lakeflow Connect · Lakeflow Jobs +1Repsol drives sustainability efforts with Databricks
Global energy company Repsol has launched more than 50 generative AI use cases on the Databricks Data + AI Platform, including AI models that run and retrain machinery every five minutes to help streamline operations and drive sustainability objectives.
RepsolAgent Brickshipages simplifies home improvements with targeted customer engagement via Databricks
Australian tradie marketplace hipages consolidated three legacy data warehouses (MySQL, Redshift, Athena) into a single Databricks lakehouse with Databricks SQL, Kafka CDC ingestion and dbt, achieving 100% uptime on its key Job Estimator report versus its prior Redash setup and projecting thousands of dollars in annual infrastructure savings.
Mendel accelerates clinical trial matching with Databricks
Healthcare AI company Mendel used Databricks to pretrain and fine-tune custom large language models like Llama 3.1 on around 200 billion proprietary tokens for its HyperCube clinical data platform, reducing model training time from three months to one month while maintaining HIPAA compliance.
THE SWING creates a smoother driving experience with Databricks
Korea's personal mobility provider THE SWING adopted the Databricks Data + AI Platform, including Unity Catalog and AI/BI Genie, for fleet management, IoT optimization and data governance, cutting data analysis time by 30%, reducing operating costs by 40%, and increasing revenue 20% through AI-driven vehicle location and relocation insights.
KRAFTON builds unified gaming data governance and analytics with Databricks
Game publisher KRAFTON unified fragmented data systems across game studios using the Databricks Data + AI Platform and Unity Catalog, managing 20PB of data from 40+ services and processing 60TB of streaming data daily across 2,000 employees, cutting insight time to under 15 minutes.
RDSolutions empowers retail pricing intelligence with Databricks
RDSolutions migrated its legacy Azure data warehouse pipeline to the Databricks Data + AI Platform, using Delta Lake, Unity Catalog and Databricks Assistant to process billions of retail pricing data points, cutting a data validation job from 4 days to 3 hours, a 97% improvement.
Vannevar Labs bolsters defense intelligence with a fine-tuned sentiment analysis model on Databricks
Defense-tech startup Vannevar Labs used Databricks to fine-tune and deploy a Mistral 7B sentiment analysis model for multilingual news, blog and social media analysis, achieving 76% accuracy versus 64% with GPT-4, a 75% reduction in latency, and a two-week deployment time.
OTTO improves demand forecasting accuracy up to 30% with Google Cloud's TiDE model
OTTO, a leading German ecommerce retailer, used Google Cloud's Time-series Dense Encoder (TiDE) model trained on Vertex AI and deployed on GKE to analyze multivariate time-series data such as seasonal demand patterns, pricing changes, and promotions. TiDE improved demand forecasting accuracy by up to 30%, helping OTTO reduce inventory costs, minimize stock-outs and overstocks, and support dynamic pricing, with particularly strong responsiveness for volatile products like iPhones versus more stable items like men's jeans.
Palo Alto Networks advances cybersecurity with the Databricks Data + AI Platform
Palo Alto Networks adopted the Databricks Data + AI Platform, including Unity Catalog, Delta Lake and Spark Declarative Pipelines, to unify fragmented data across its Prisma Cloud modules, achieving 3x faster iterations on AI/ML features, a 20% reduction in COGS, 3x decrease in engineering development time, and 40% less time on data preparation.
Joby sees faster insights and democratizes data with Databricks
Joby Aviation uses the Databricks Data + AI Platform to push data to developers and engineers for faster insights, developing an AI sandbox and leveraging model serving and foundation models for data insight extraction across the company.
JobyAgent Bricks · Databricks Data + AI PlatformRolls-Royce uses AI turbine blade inspection and engine health monitoring to prevent 400 maintenance events a year
Rolls-Royce uses Microsoft Cloud for Manufacturing, Azure Databricks, and generative AI across engine design, turbine production, and engine health monitoring. Its 'Signature Analyzer' AI/machine learning system inspects turbine blade cooling holes (previously about 2 million inspected manually per month), using machine vibration analysis and generative AI to optimize defect detection, boosting machine utilization 30% and accelerating fault resolution from days to near real time. AI-powered engine health monitoring tracks more than 10,000 engine parameters and detects and prevents around 400 unplanned maintenance events a year, saving millions in repair costs.
Volkswagen Group rolls out generative AI maintenance chatbot to 8 plants in 3 weeks
Volkswagen Group, Europe's largest carmaker with more than 100 plants globally, built Genius, a central generative AI platform running on its Digital Production Platform co-developed with AWS, using Amazon Bedrock, AWS Lambda, Amazon Neptune, and AWS Textract. Genius includes a maintenance chatbot that gives shop-floor teams instant access to technical data to diagnose issues faster and cut downtime; the chatbot was rolled out to 8 plants in 3 weeks, reducing development and operational costs and speeding deployment times.
KONE deploys generative AI Technician Assistant to speed elevator and escalator field service
KONE, the Finland-based elevator and escalator company, built a Technician Assistant using Claude 3 through Amazon Bedrock to help field technicians resolve equipment issues more efficiently. The assistant supports more than 40,000 field technicians per day and handles approximately 30,000 technical help desk calls monthly, speeding resolution and improving service.
KONE· FinlandClaude 3 · Amazon BedrockOmoda's generative AI stylist lifts conversion rate 2.5x for online fashion shoppers
Dutch fashion retailer Omoda built AI stylist, a virtual shopping assistant powered by Google Cloud's Gemini Pro 1.5 model with Vertex AI Multimodal Embeddings and Vector Search. AI stylist holds natural-language conversations with customers, understands their needs, and builds complete outfits combining clothing, shoes, and accessories rather than just matching similar products, with an Intelligent Brand Matching feature that factors in brand affinities. Customers who use AI stylist convert at a rate 2.5 times higher than average, and the tool also improves inventory management through better trend anticipation.
Cegid cuts support ticket volume 40% with generative AI virtual agent and Agent Assist
Cegid, a European leader in cloud management solutions, deployed Google Cloud Customer Engagement Suite with Google AI to transform customer support handling nearly one million annual interactions. A generative AI virtual agent answers customer questions 24/7 in natural conversational French, escalating complex issues to human advisors with a summarized ticket, while Agent Assist gives advisors instant access to relevant information and suggested responses. The project handles an average of 225 conversations per day with 93% response reliability, reducing support ticket volume by 17% overall and 40% in areas where the virtual agent is deployed.
Cegid· FranceGoogle Cloud Customer Engagement Suite with Google AI · Virtual Agent · Agent Assist +1MineSense uses machine learning on sensor data to distinguish high-grade ore from waste in real time
MineSense combines rugged X-ray fluorescence sensors on mining equipment with advanced machine learning models to estimate ore grade in every shovel bucket in real time, helping mines make smarter routing decisions, improve metal recovery, and reduce waste. Running on Oracle Autonomous AI Lakehouse, MineSense also uses OCI generative AI agents with retrieval-augmented generation to automate knowledge-base searches, improving field engineering productivity 5X and reducing DBA workloads by 65%.
MineSense Technologies· CanadaOracle Cloud Infrastructure · Oracle Autonomous AI Lakehouse · Oracle APEX +6Tamilnad Mercantile Bank uses agentic AI to automate finance, HR, and customer service
Tamilnad Mercantile Bank unified finance, HR, sales, and customer service on Oracle Fusion Cloud Applications, chosen for embedded agentic AI capabilities. Expense management, customer service, and payroll are now fully automated, and employees handle twice as many service requests in half the time.
Tamilnad Mercantile Bank· IndiaOracle Fusion Cloud ERP · Oracle Fusion Cloud HCM · Oracle CXJohnson Controls uses embedded AI and machine learning to shift field service from reactive to proactive
Johnson Controls connected service agents, field technicians, and building assets on Oracle Fusion Cloud Service and Field Service with embedded AI and machine learning, automating scheduling, optimizing technician routes, and monitoring equipment health in real time. Technicians receive IoT-driven alerts and asset context via mobile tools, and Oracle digital assistants handle routine inquiries. The system is used by more than 3,000 field personnel with 99% adoption, improving first-time fix rates and customer satisfaction.
Johnson Controls· United StatesOracle Fusion Cloud Service · Oracle Fusion Cloud Field ServiceNavy Federal Credit Union uses embedded AI to accelerate goal-setting, lifting goals per employee 58%
Navy Federal Credit Union adopted Oracle Fusion Cloud Talent Management, including an AI-powered talent advisor agent that gives managers insights for promotions and career development. Embedded AI automatically generates detailed goals and success criteria from simple input, increasing the average number of performance goals per employee by 58% and growing employees with development goals by 125%.
Navy Federal Credit Union· United StatesOracle Fusion Cloud Talent Management · Oracle Fusion Cloud Human ResourcesNHS Shared Business Services migrates financial systems to Oracle Fusion Cloud
NHS Shared Business Services (NHS SBS) rebuilt the finance and procurement platform for England's National Health Service on Oracle Fusion Cloud ERP and EPM, running on Oracle UK Sovereign Cloud, standardizing some 450 individual finance applications. The organization is using built-in AI capabilities of these cloud applications with the goal of reducing repetitive work and giving staff more time to support frontline services, processing 7.1 million invoices and £355 billion in NHS transactions per year.
Aegean Airlines uses AI-guided orchestration to personalize passenger journeys
Aegean Airlines connected customer profiles via Oracle Unity Data Platform and used AI embedded in Unity to segment travelers and predict likely needs, such as compensation after a misconnection or targeted upgrade offers. Oracle Marketing then automates journeys across email, web, mobile, and service touchpoints in real time. Aegean saw a tenfold increase in personalization volume, 60% faster marketing analysis, 30% productivity increase, and 40% revenue increase from targeted campaigns.
Aegean Airlines· GreeceOracle Fusion Unity Data Platform · Oracle Fusion Cloud MarketingHearst uses embedded AI for invoice recognition, cash management, and supplier-payment decisions
Hearst launched Project UniFi to standardize finance, HR, and procurement on Oracle Fusion Cloud Applications, consolidating 19 general ledgers into one chart of accounts and accelerating financial close by 66%. Hearst uses automation and embedded AI to support invoice recognition, cash management, and supplier-payment decisions; intelligent payments help identify suppliers eligible for early-payment discounts across 40,000 vendor relationships.
Hearst· United StatesOracle Fusion Cloud Applications Suite · Oracle Fusion Cloud Enterprise Resource Planning · Oracle Fusion Cloud Enterprise Performance Management +3Cohu uses embedded AI to flag supply chain exceptions across a unified cloud platform
Cohu, a global semiconductor equipment company, unified finance, HR, and supply chain on Oracle Fusion Cloud Applications after multiple acquisitions left it with fragmented systems. Embedded AI supports real-time reporting across work orders and procurement and flags supply chain exceptions, while Oracle Fusion Cloud Product Lifecycle Management reviews product data for completeness and identifies process bottlenecks affecting launches.
Cohu· United StatesOracle Fusion Cloud Applications · Oracle Fusion Cloud Supply Chain and Manufacturing · Oracle Fusion Cloud Product Lifecycle Management +4Milwaukee Tool uses predictive maintenance to flag failure risks and cut unplanned downtime
Milwaukee Tool connected manufacturing and maintenance on Oracle Fusion Cloud with IoT-driven condition monitoring. Predictive maintenance capabilities flag failure risks and generate recommended work orders aligned to changeovers and micro-stops, letting teams schedule maintenance proactively rather than reactively, improving asset reliability and first-pass yield.
Milwaukee Tool· United StatesOracle Fusion Cloud Supply Chain Execution · Oracle Fusion Cloud Supply Chain and Manufacturing · Oracle Fusion Cloud Manufacturing +2European automotive marketer uses AI to target engaged customers and lifts open rates 50%
A regional automotive marketing organization covering more than 30 European countries used Oracle Unity and Oracle Marketing with AI to identify which email messages and digital touchpoints are likely to engage customers based on profile and behavior. The organization runs more than 120 always-on automated campaigns, seeing a 50% increase in email open rates, a 230% increase in lead submissions, and a 5% increase in order uptake.
Meta uses built-in AI to translate security information into business terms for access governance
Meta centralized access governance and controls across 200 applications using Oracle Fusion Cloud Risk Management and Compliance, using built-in AI to translate security information into business terms for process owners, alongside more than 145 security algorithms that analyze access and simulate segregation-of-duties risk.
Meta· United StatesOracle Fusion Cloud Risk Management and Compliance · Oracle Fusion Cloud Finance and Accounting · Oracle Fusion Cloud ApplicationsCaesars Entertainment applies embedded AI to finance and HR workflows
Caesars Entertainment consolidated 650 applications onto Oracle Fusion Cloud Applications and applies embedded AI across finance and HR. In HCM, AI features support performance reviews, development plans, and goal setting. In finance, AI assistants explain performance variances, compare narratives over time, and identify anomalies or biases so teams spend less time on transactions and more time on insight.
Caesars Entertainment· United StatesOracle Fusion Cloud Applications · Oracle Fusion Cloud Enterprise Resource Planning · Oracle Fusion Cloud Enterprise Performance Management +2PwC applies embedded predictive, generative, and agentic AI to finance processes with Oracle Cloud ERP
PwC deployed Oracle Fusion Cloud ERP across several territories supporting approximately 34,000 employees, using embedded predictive, generative, and agentic AI capabilities to increase productivity, strengthen financial controls, and align planning. PwC also uses the document IO agent in Oracle Cloud ERP to automate document handling across financial processes.
PwC uses AI-driven send-time and audience scoring to improve campaign relevance
PwC France & Maghreb embedded AI models in Oracle Marketing to determine optimal send times, detect audience fatigue to avoid over-contacting, and score accounts by engagement potential and service-line interest, shifting from broad regional campaign lists to intent-based segments.
adidas turns customer reviews into insight at scale with GenAI
adidas built a RAG chatbot on the Databricks Data + AI Platform using AI Search, Model Serving, Unity Catalog and MLflow to analyze over 2 million customer product reviews with LLMs including Claude Haiku, cutting response latency 60%, reducing compute costs over 90%, and improving analyst efficiency 30-40%.
adidas· GermanyDatabricks AI Search · Model Serving · Unity Catalog +5Powering EV mobility with optimized charging stations
CKDelta processes over 12 billion daily telco mobility signals across seven countries on the Databricks Data + AI Platform to power its ∆Power product, which helps utility companies identify optimal EV charging station locations, boosting revenue potential up to 20x and cutting data processing time from 4-5 hours to 20 minutes.
CKDeltaDatabricks Data + AI Platform · Unity Catalog · MLflow +1Launching end-to-end security in 6 months to cut client churn
SK Shieldus built an integrated data analytics platform on Databricks in six months, deploying a cancellation-prevention scoring model and a predictive control model for security dispatch using Delta Lake, Lakeflow Jobs and Unity Catalog, improving machine learning model accuracy from under 70% to over 90% and reducing unnecessary dispatches by 2%.
SK Shieldus· South KoreaDatabricks Data + AI Platform · Delta Lake · Lakeflow Jobs +2Using data to power-fuel the transition to a carbon-neutral world
Helen, Helsinki's energy utility, built a centralized data and AI platform on Databricks to power forecasting and optimization models for its district heating system serving about 90% of Helsinki's population, processing real-time streaming sensor and IoT data to optimize distributed energy resources and EV charging placement as part of a plan to cut carbon emissions over 80% by decommissioning coal plants.
Helen· FinlandDatabricks Data + AI Platform · Delta Lake · Spark Declarative Pipelines +3Accelerating client strategy success with AI-powered insights
EY-Parthenon built an AI-powered platform on Databricks using fine-tuned models, AI Search/RAG and an agent framework to automate KPI extraction from hundreds of thousands of unstructured M&A documents, cutting insight-extraction time from weeks to hours and delivering 30-50% efficiency gains.
Turning audience insights into revenue gains
Sovrn unified Commerce and Ad Exchange data on the Databricks Data + AI Platform with Unity Catalog governance across 30+ AWS accounts, powering AI-driven audience targeting and traffic shaping that increased publisher yield by 30%, cut infrastructure costs 70% and made data pipelines 5x faster.
SovrnDatabricks Data + AI Platform · Unity Catalog · Delta Lake +2Aligning workwear innovation with customer-focused insights
Carhartt used the Databricks Data + AI Platform with Delta Lake and Lakeflow Jobs to analyze over 180,000 customer reviews with a Llama-3.1-70B model for sentiment analysis and emotion detection, achieving a 100% reduction in pipeline failures, 50% less code review time and 6x faster delivery of new customer features.
CarharttDatabricks Data + AI Platform · Delta Lake · Lakeflow Jobs +3Modernizing public services through citizen-first innovation
Singapore's Central Provident Fund Board built a Unified Data Platform on Azure Databricks to replace a limited on-premises data warehouse, training over 300 users on Databricks Notebooks and Databricks Assistant for collaborative analytics and machine learning, deployed on Singapore's Government Commercial Cloud 2.0 for public services supporting more than 4 million members.
Central Provident Fund Board· SingaporeAzure Databricks · Databricks Notebooks · Databricks Assistant +5Transforming supply chain data into real-time intelligence with GenAI
Accuris built a GenAI-powered engineering assistant on the Databricks Data + AI Platform, using RAG, AI Search, MLflow and Model Serving to index over 40 million records across 1 billion+ parts, achieving a 10x increase in development velocity from concept to customer-facing feature.
Improving the speed and competitiveness of pricing to win more
Steelcase built an AI-powered pricing engine on the Databricks Data + AI Platform, using a feature store of 70+ predictive features and random forest models served in real time to automate discount recommendations across 70,000+ annual pricing scenarios, boosting auto-approvals from 35% to nearly 50% and freeing over 1,500 sales hours annually.
Accelerating sales pipelines with real-time go to market
ServiceNow built Lead Scoring, Outreach Assist and Demo Assist AI solutions on the Databricks Data + AI Platform to support 2,000+ global sellers, using MLflow and LLM chains orchestrated with Lakeflow Jobs, cutting lead scoring latency from 4 hours to 30 minutes, generating 65,000+ personalized outreach emails in 2024, and boosting deal velocity 1.5x.
Delivering AI-powered entertainment that captivates users for hours
Scatter Lab used Databricks' flexible GPU clusters to build a proprietary Korean-language large language model in three months on a limited budget, powering its AI companion chatbot platform Zeta, which reached 1.5 million users within nine months with over 12 hours of average weekly engagement.
Fueling personalized travel with real-time insights
Adani Digital Labs replaced legacy systems with the Databricks Data + AI Platform to power real-time, AI-driven personalization on the Adani OneApp, launching 15+ production use cases including geospatial analysis and ML-driven product recommendations, cutting operational costs by 29% and development time by 20%.
Tailoring credit products to the diverse needs of customers
HDFC Bank's Credit Risk Analytics and Innovation department migrated from a 16-node Hadoop cluster to the Databricks Data + AI Platform on Azure, using Delta Lake and Unity Catalog to power fraud control, marketing optimization and credit risk model building, significantly reducing query time and accelerating data pipelines for downstream risk management.
FOX Sports Reimagines the Fan Experience
FOX Sports uses the Databricks Data + AI Platform, including Structured Streaming, AI Search and Agent Bricks, to process live sports data and power natural-language search and personalized content for fans, more than doubling its AI-powered search success rate.
Accelerating CRM impact with GenAI-powered insights
Natura Cosmeticos built a GenAI-powered reporting system on the Databricks Data + AI Platform, using foundation models and AI Search to automatically generate CRM campaign report summaries in Portuguese and Spanish across six countries, cutting reporting cycle times by 64% and lifting CRM-driven revenue by 23.5%.
Unilever Transforms With AI
Unilever uses the Databricks Data + AI Platform for near real-time access to retail data, enabling proactive inventory management and demand forecasting across its 400 brands, with Unity Catalog securing data governance and lineage.
Designing a data-literate enterprise at scale
Miridih re-architected its data platform on Databricks, migrating to a serverless environment on AWS with Lakeflow Jobs, Unity Catalog and a medallion architecture, and introduced AI/BI Genie so nontechnical employees can query data and gain insights independently, reducing data processing time by more than 75%.
Connecting the global investment ecosystem
Addepar adopted the Databricks Data + AI Platform to centralize disparate datasets, streamline workflows and leverage advanced AI capabilities at scale for a platform managing more than $7 trillion in assets, reducing pipeline development times by 3-5x, accelerating client onboarding, and cutting infrastructure costs by 32%, saving $2 million annually.
Threading the needle for fashion resale success
ThredUp unified its data on the Databricks Data + AI Platform, using ML models for personalization, pricing, and inventory flow, and adopted Unity Catalog and the AI Playground for LLM experimentation, cutting ML model training from weeks to days and reducing new analyst onboarding from two weeks to four days.
ThredUpDatabricks · Delta Lake · Lakeflow Jobs +1Empowering technicians with instant answers and faster fixes
Lumen Technologies integrated GenAI into its Laser diagnostic tool using Databricks Model Serving with a hosted Llama 3.3 model, enabling technicians to get real-time diagnostics, resolution recommendations and ticket summarization, saving an estimated 3,675 hours annually.
Lumen TechnologiesDatabricks · Agent Bricks · Delta Lake +1Building a better future for female health
Flo Health moved to the Databricks Data + AI Platform to centralize data for its 75 million users, running 400 analytics experiments per quarter, powering AI health predictions and fine-tuning LLMs for a Health Assistant chatbot, with internal monthly active users on the platform up 45%.
Flo HealthDatabricks · Agent Bricks · Databricks SQL +3Igniting the app economy with better ad experiences
Digital Turbine migrated its ETL-based data warehouses to Databricks on Google Cloud, using BigQuery and Vertex AI within the platform to power services like real-time Install Intelligence and application decisioning, saving tens of thousands of dollars per month in hosting costs and reducing cross-system debugging time by 10-20%.
Digital TurbineDatabricks SQL · Delta Lake · Lakeflow Jobs +1Boise State University Champions Continuous Innovation with Oracle Fusion Cloud ERP
Boise State University migrated its ERP and HCM systems to Oracle Fusion Cloud Applications, eliminating disruptive upgrades through a continuous, quarterly-release model. The university is now exploring embedded AI capabilities within Oracle Cloud Applications to strengthen decision-making, including generating real-time performance insights and reports and summarizing employee check-ins into annual performance reviews.
Boise State University· United StatesOracle Fusion Cloud Enterprise Resource Planning (ERP) · Oracle Fusion Cloud Human Capital Management (HCM) · Oracle Student CloudAirAsia drives 97% invoice posting accuracy
AirAsia implemented Oracle Fusion Cloud ERP with AI-based invoice data capture, duplicate detection, supplier validation, approvals, posting, and exception review in a single platform for its accounts payable operations. For its initial top-nine-vendor group, invoice processing cycle time fell by 80%, invoice posting accuracy reached 97%, manual data entry effort dropped by 80%, and more than 30% of routine AP tasks became fully automated. AirAsia is positioned to evaluate Fusion Agentic Applications, including Payables Agent and Payments Agent, to further automate exception handling.
AirAsiaOracle Fusion Cloud ERPLitoplas grows production with Oracle Fusion Cloud Applications
Litoplas, a Colombia-based flexible packaging manufacturer, extended its Oracle Fusion Cloud ERP deployment with Oracle Fusion Cloud Supply Chain and Manufacturing to connect operations across countries. The company increased production by 40% and improved inventory accuracy. Litoplas is now starting to use AI capabilities built into Oracle Fusion Cloud Applications for supplier questions, supplier knowledge chat, and purchase order summaries, with plans to apply AI to production sequencing, supply chain prediction, and accelerated access to operational insights.
Kroll Connects Enterprise Data with AI
Kroll is advancing its financial and risk advisory services by centralizing data across every business line on the Databricks Data + AI Platform, integrating client, corporate, and infrastructure data into a single connected ecosystem for clearer insights and enhanced operational agility, reducing data debt and laying a scalable foundation for responsible AI innovation.
KrollDatabricksApplied Materials Advances Data and AI
Applied Materials accelerates innovation by unifying vast datasets on the Databricks Data + AI Platform and Azure. With modular architecture and flexible tooling, teams rapidly pilot and scale AI, improving products, services, and user efficiency, viewing AI as a teammate for practical augmentation and continuous learning.
Applied MaterialsDatabricksWestinghouse Unifies Global Data
Westinghouse Electric Company accelerates innovation across global operations by unifying siloed legacy data on the Databricks Data + AI Platform. With end-to-end data traceability and advanced governance that meets nuclear regulatory standards, teams gain a trusted, single source of truth enabling applied AI and cross-functional collaboration.
Westinghouse Electric CompanyDatabricksEnabling collaboration among competing divisions
Sandvik used the Databricks Data + AI Platform to let its 20+ autonomous, sometimes competing, divisions share AI models and data assets while retaining independence, including AI-driven real-time monitoring of mining equipment sensor data to recommend maintenance actions and reduce downtime.
SandvikDatabricks · Agent Bricks · Delta Lake +2RBC BD Simplifies Client Review Preparation
RBC Brewin Dolphin built a custom Databricks App orchestrating GenAI pipelines with Llama 3.1/3.3 and RAG to automate about 90% of client annual review meeting pack preparation, unifying data across five systems and saving an estimated 4,700 hours annually while cutting administrative costs by roughly 50% in some offices.
Leading the multichannel entertainment and wagering business
Tabcorp unified data on the Databricks Data + AI Platform to build a single customer view, an AI-powered risk scoring model for safer gambling, and a Next Best Experience recommendation engine that grew from 5 to 40+ production models, plus an in-house GenAI platform called Tab Intelligence built on Llama 3, delivering $1.75M in platform savings.
Tabcorp· AustraliaDatabricks · Agent Bricks · Delta Lake +3Unifying Data Silos to Power Global Personalization
CASETiFY unified marketing, sales and behavioral data on the Databricks Data + AI Platform, enabling marketing mix modeling, customer lifetime value prediction and generative AI-embedded customer service tools, driving double-digit year-over-year growth in repeat customer revenue and a 20% reduction in data transformation costs.
CASETiFYDatabricks · Agent Bricks · Databricks SQL +2Empowering trusted public service media with data-driven intelligence
SRF (Swiss public broadcaster SRG SSR) built a Databricks Data + AI Platform to unify 200GB of daily data from 1.3 million unique users, powering ML-driven content recommendations, executive dashboards and a natural-language Genie assistant, with some workflows running up to 70x faster.
SRF (SRG SSR)· SwitzerlandDatabricks · Delta Lake · Unity CatalogVirtue Foundation Scales Global Health
Virtue Foundation uses Databricks Data Intelligence and GenAI to refresh and map global health data, building AI-powered platforms and knowledge graphs that match hospital and NGO resources with clinical specialists, particularly in low- and middle-income countries.
Virtue FoundationDatabricksReducing Waste and Transport Costs with Data Insights
Albert Heijn unified data from over 50 systems onto the Databricks Data + AI Platform to enable accurate sales forecasts across 17,000 products daily across 1,276 stores and 15 warehouses, optimizing logistics, reducing food waste and lowering transport impact.
Albert HeijnDatabricksTractian builds hundreds of AI models faster, at lower cost using OCI
Tractian, which builds Physical AI solutions for industrial asset monitoring, uses Oracle Cloud Infrastructure bare metal with NVIDIA H100 and GB300 GPUs to train and deploy custom AI models that turn sensor data into real-time maintenance decisions across more than 2,000 plants and 200,000 monitored assets. Tractian cut AI training costs by 20%, reduced training times by 35%, cut inference costs by 15%, reduced inference latency by 50%, and estimates it prevents a customer machine failure roughly every 15 minutes across its installed base.
Tractian· United StatesOracle Cloud Infrastructure · Oracle AI Infrastructure · Oracle Kubernetes EngineForesea modernizes base yard logistics with Oracle Autonomous AI Database
Foresea, a Brazilian offshore oil and gas drilling company, migrated its dock scheduling application to Oracle Autonomous AI Database 26ai with Oracle AI Database Private Agent Factory on OCI. The company replaced an unpredictable dock receiving process with a self-service booking application giving suppliers visibility into delivery status, check-in/check-out, dwell time, and document readiness, reducing wait times and overtime hours at its base yards.
Fanatics scales risk and security assurance for AI readiness
Fanatics, a global digital sports platform, consolidated 15 ERP systems onto Oracle Fusion Cloud Applications and activated 60 Oracle Fusion Cloud Risk Management algorithms to automate monitoring of access, configurations, and transactions. The company uses AI-generated security briefings to give reviewers business context and recommendations, and integrated Oracle Access Governance with Fusion Risk Management to build a scalable governance foundation ahead of introducing Fusion Agentic Applications and other AI-enabled processes.
Fanatics· United StatesOracle Fusion Cloud ERP · Oracle Fusion Cloud HCM · Oracle Fusion Cloud SCM +2Spectrum boosts HR productivity with AI in Oracle Fusion Cloud HCM
Spectrum (Charter Communications), serving a 92,000-person workforce, built an AI-native HR experience called AskHR on top of Oracle Fusion Cloud HCM, using Oracle AI for HCM and Oracle AI Agent Studio. The company rolled out three custom AI agents that let employees get answers to HR queries conversationally, help managers see team data without running reports, and use generative AI to draft and refine performance goals, increasing goals set per employee and improving goal quality.
Spectrum (Charter Communications)· United StatesOracle Fusion Cloud HCM · Oracle AI for HCM · Oracle AI Agent StudioBrain4Data boosts customer service with Oracle Database and Generative AI
Brain4Data, a German startup, built a GenAI-powered agent named Fred that uses retrieval augmented generation (RAG) over customer documents, databases, and ERP systems, powered by Oracle Database's native AI Vector Search and OCI Generative AI Service. Within a few months of deployment, Fred handled 80% of end-user requests. Brain4Data won the European Seal of Excellence from the European Innovation Council in early 2024.
City of Lohja creates chatbot to power document insights with Oracle AI solution
The Finnish city of Lohja, working with Oracle partner Miracle Finland Oy, built an internal support chatbot using OCI Enterprise AI, Oracle Autonomous AI Lakehouse, Oracle AI Vector Search, and Oracle Graph. The chatbot connects large language models to analyze internal documents and extract entities such as projects, decisions, and people, combining graph and vector queries to answer approximately 85% of HR and ICT helpdesk support questions.
Great Eastern drives efficiency and cost savings with Oracle Cloud
Great Eastern, a Singapore-based life insurer serving more than 16 million policyholders across Southeast Asia, migrated policy administration, finance, distribution, reporting, and rewards systems to Oracle Cloud Infrastructure with Oracle Autonomous AI Database on Exadata Cloud@Customer. The insurer is using native AI services such as Select AI, agentic AI, and AI-assisted development tools to improve productivity. Great Eastern increased revenue by 10%, improved efficiency by 50%, cut IT costs by 30%, and reduced turnaround times for some insurance processes from six to eight weeks to less than three days.
Great Eastern· SingaporeOracle Cloud Infrastructure · Oracle Autonomous AI Database · Oracle Exadata Cloud@Customer +3Alcar Ruote speeds planning and carbon reporting with Oracle
Alcar Ruote, a European wheel manufacturer, unified planning, finance, and emissions data on Oracle Fusion Cloud Supply Chain, Finance, and Sustainability applications. An Oracle-based AI system integrates supplier data to support faster planning and procurement, while an AI-based system extracts line-item details from supplier invoices, classifies spend, and applies emission factors for carbon accounting. Automation captured 95% of key supplier invoices with no manual intervention, and monthly carbon-footprint reporting was reduced from three weeks to overnight.
CMSPI Unlocks Payments Data Innovation
CMSPI harnesses payment data for transaction insights that boost approval rates, routing savings, and productivity. With Databricks, CMSPI scaled from processing 100,000 transactions to one billion weekly, democratizing data access across departments for instant analytics and smarter anomaly detection, with Unity Catalog ensuring governance, privacy, and auditability.
CMSPIDatabricks · Unity CatalogEpsilon Accelerates Privacy-Safe Marketing
Epsilon leverages Databricks to unify client data, automate privacy-compliant lineage tracking, and power secure, AI-driven marketing. With Unity Catalog and generative AI, Epsilon accelerates onboarding, empowers marketers to answer strategic business questions in natural language, and sets up clean rooms in under 48 hours for privacy-safe advertising campaigns.
EpsilonDatabricks · Unity CatalogBlackBerry Accelerates Cybersecurity with AI
BlackBerry strengthens its cybersecurity capabilities by unifying enterprise data on the Databricks Data + AI Platform, using real-time analytics and AI to detect threats in minutes rather than hours. Centralized, shared data enables collaboration across teams, speeding innovation and delivering safer digital experiences.
BlackBerryDatabricksWashington Builds Data-Driven Government
The State of Washington is building a data-first foundation on the Databricks Data + AI Platform to transform how government serves residents, using AI and analytics to tackle homelessness and climate change and improve policy outcomes, with real-time insights and data literacy across agency teams.
Mars Wrigley Scales Global Insights
Mars Wrigley utilizes the Databricks Data + AI Platform to inform data-driven decisions that enhance consumer experiences worldwide, overcoming model scalability challenges to build standardized, reusable AI and analytics capabilities for multiple markets, with precision in pricing, promotions, and purchasing experiences.
Protecting Crops Today to Feed Billions Tomorrow
Syngenta built Gaia, the first crop protection R&D data platform for analytics and innovation, on Databricks to unify siloed data across 70-plus countries. The platform cut data access times from as long as nine months to minutes, reduced time to value by 70%, decreased engineering costs by 50%, and now publishes over 200 data products handling more than 2 million queries per month.
SyngentaDatabricks · Delta Lake · Unity Catalog +3ActionIQ Unlocks Customer Data
ActionIQ empowers brands to activate data across every channel by democratizing customer data for non-technical teams. Integration with Databricks enables immediate, secure access to new datasets via Unity Catalog and powers real-time personalization, analytics, and marketing orchestration, with GenAI providing novel interfaces for broader data access.
ActionIQDatabricks · Unity CatalogTransforming the Banking Experience with AI
IndusInd Bank migrated to the Databricks Data + AI Platform to build a unified enterprise data platform integrating 1.5 petabytes of data across 44 business areas. Data insight delivery accelerated from 30 hours to 45 minutes or less, the platform supports over 1,200 reports and dashboards, and the enterprise-wide migration was completed in 15 months versus an originally scoped 2.5 years.
IndusInd BankDatabricks · Delta Lake · MLflow +8Modernizing Customer Engagement With Databricks and Uniphore
LastPass partnered with Databricks and Uniphore to transform their marketing data foundation, unifying web, CRM and behavioral signals into a composable CDP. Within six months, LastPass activated audience targeting, trialist reactivation and improved suppression lists, achieving a 66% reduction in paid social purchase cost per acquisition and 50% reduction in trial cost per acquisition.
LastPassDatabricks · Uniphore · Delta SharingKard Drives Customer Loyalty
Kard, a commerce media network for retail, restaurant and convenience brands, adopted the Databricks Data + AI Platform to unify data engineering, analytics and governance after legacy systems struggled with billions of transactions. Ingestion of 4 billion transactions dropped from weeks to an hour, and Kard estimates Databricks is 10x more cost-effective than their legacy MongoDB infrastructure.
KardDatabricks · Delta Lake · Unity Catalog +6Netacea Strengthens Cyber Defense With AI
Netacea protects global enterprises from malicious bot traffic with the Databricks Data + AI Platform. By consolidating siloed systems into one unified environment, Netacea scaled to ingest up to 150,000 requests per second, 50 times faster than before. Databricks powers real-time threat detection, enabling defensive AI that responds instantly to emerging cyberattacks.
NetaceaDatabricksProvidence Accelerates Real-Time Care
Providence is redefining hospital operations by using Databricks and Microsoft Azure to turn streaming data from Epic into real-time insights. By harnessing data science and AI across every aspect of care, Providence can optimize patient intake, monitor capacity, and support urgent decisions.
ProvidenceDatabricks · Microsoft Azure · EpicSamba TV Scales Data Intelligence
Samba TV leverages Databricks and MLflow to deliver AI-powered media analytics on a massive scale. By unifying diverse datasets, Samba TV enables brands, agencies, and media companies to measure advertising effectiveness, analyze viewership, and optimize spending in real-time. Databricks automates and scales model management, allowing the teams to focus on valuable insights.
Samba TVDatabricks · MLflowCurrys Drives Growth With Data Intelligence
Currys, a UK retailer, empowers retail teams and drives profitable growth by unifying customer, operational and business data on the Databricks Data + AI Platform. From colleague performance and customer personalization to retail media monetization through Currys Connected Media, the company uses machine learning and generative AI to deliver insights across store operations and strategic planning.
CurrysDatabricksBAYADA Builds a Unified, AI-Ready Platform for Compassionate Care
BAYADA Home Health Care is consolidating three separate legacy data platforms (multiple practice management systems, an on-prem ODS, and Snowflake) and 65+ enterprise data sources into a single Databricks Lakehouse under its Data Modernization program, using medallion tiers, Lakeflow Jobs, Asset Bundles, and Unity Catalog governance. As part of the migration, BAYADA uses an LLM-powered code converter and Databricks Assistant to automate SQL and stored-procedure translation, and applies a machine learning-based data mastering accelerator to create golden Client, Payor, Candidate, and Referrer records. BAYADA reports roughly 30% better workload performance and cost efficiency versus its prior Snowflake environment, and is laying a governed foundation for AI agents supporting payroll validation, compliance monitoring, and operational insights, separately from its roadmap for AI-assisted chart review and risk prediction.
BAYADA Home Health CareDatabricks SQL · Lakeflow Jobs · Unity Catalog +1Bayernwerk Netz, E.ON Empowers Field Workers
Bayernwerk Netz, a German grid operator and E.ON subsidiary supplying energy to roughly seven million people, partnered with E.ON Digital Technology to build a generative AI field operations assistant on the Databricks Data + AI Platform. Using Delta Lake, Unity Catalog, Agent Bricks and AI Search for retrieval-augmented generation, the assistant compiles source-linked briefs on safety procedures, technical specs and incident notes for field workers, piloted with 60 users and planned to scale to roughly 4,000 employees to support the company's Vision Zero safety goal.
Bayernwerk Netz (E.ON)· GermanyAgent Bricks · Delta Lake · Unity Catalog +1Bringing Fraud and ROI Insights Into Every Leasing Decision
Snappt, a rental applicant trust platform, used Databricks AI/BI to embed self-service analytics dashboards directly into its product, launching production-ready reporting in about a week. Built on Databricks SQL and Unity Catalog with row-level security, the embedded dashboards give hundreds of property admins real-time visibility into fraud rates, aggregated applicant insights and bad-debt risk, correlating with a roughly 30% higher retention rate for feature-activated accounts.
Octopus Accelerates a Smarter, Greener Grid with Databricks
Octopus Energy unifies data from eight countries and multiple business lines on the Databricks Data + AI Platform. Billions of smart meter signals feed its virtual power plant, letting teams optimize when to charge and discharge 1.8 gigawatts of flexible load for cheaper, greener power. Unity Catalog keeps thousands of users working safely on shared data, and the company plans to use Agent Bricks to let employees build governed AI agents.
Octopus EnergyUnity Catalog · Agent BricksAXA Japan Unifies Data and Modernizes Analytics with Databricks
AXA Japan, formed through the integration of its life and property & casualty insurance businesses under the OneAXA transformation, consolidated multiple legacy data lakes and Redshift/Oracle-based systems into a single governed lakehouse on Databricks, using a lift-and-shift approach with automated code conversion of legacy ETL logic into dbt models on Databricks SQL. Unity Catalog centralizes access governance across business units. AXA Japan reports up to 60% lower warehouse costs, 70% lower ETL costs for migrated workloads, and roughly 40% faster development after retiring legacy systems, and is now building toward production machine learning use cases spanning fraud detection to customer support automation on the same platform.
DEFRA and Natural England Use Databricks to Accelerate Peatland Restoration with AI
DEFRA, working with Natural England and Databricks, uses AI to accelerate peatland mapping across England. Tasks that previously took a week of manual work can now be completed in less than a day, saving weeks or months of effort each year. Automating the mapping of peatlands and restoration features supports protection of habitats that store carbon, support biodiversity, and provide drinking water, advancing nature recovery at a national scale.
Fueling Efficiency From Pump to Profit
Pilot Company built a GenAI-powered document processing solution on the Databricks Data + AI Platform (using Agent Bricks) to automate handling of handwritten fuel bills of lading across over 300 document formats. Using a multi-modal few-shot approach with fuzzy matching, Pilot achieved 98.6% accuracy, a 99% reduction in manual processing, and a 90% decrease in overall processing costs.
Pilot CompanyDatabricks · Agent Bricks · Delta Lake +4CZ Advances Healthcare with Data Intelligence
CZ uses the Databricks Data + AI Platform to unify vast healthcare data, calculate fair insurance premiums, automate quality claims checks, and deliver AI-assisted member support. By harnessing GenAI, collaborative analytics, and strong governance, CZ streamlines operations and improves affordable healthcare access for millions across the Netherlands.
Corning Accelerates Innovation with GenAI
Corning, a global leader in glass and ceramics, leverages the Databricks Data + AI Platform to improve manufacturing processes and product quality with advanced analytics and machine learning. Corning uses GenAI-powered chatbots and the Databricks Agent Framework to make hundreds of thousands of internal documents instantly accessible, with MLflow and model serving accelerating data scientist workflows by weeks or months.
CorningDatabricks · MLflow · Delta SharingVisitBritain Unlocks Tourism Insights
VisitBritain leverages Databricks Data Intelligence and GenAI to unlock instant tourism sentiment insights and facilitate real-time data collaboration for thousands of responses, making decision-making simpler and more accessible for non-technical staff across the organization, with robust governance driving smarter strategies for Great Britain's travel sector.
VisitBritainDatabricksTurning Payments Risk Into a Growth Enabler
Envisso uses the Databricks Data + AI Platform to power its AI-powered merchant risk monitoring and payments insurance platform, unifying merchant, transaction and dispute data with Unity Catalog and Lakeflow Jobs. The company reduced merchant onboarding from weeks to a single day and doubled its customer base without doubling its ~15-person engineering team.
EnvissoDatabricks · Unity Catalog · Lakeflow +4VA Advances Healthcare Insights With AI
The U.S. Department of Veterans Affairs leverages Databricks Data Intelligence to modernize healthcare analytics for millions of veterans, unifying massive distributed datasets into a single secure environment and streaming petabytes of health data in real time, reducing processes that once took hours to seconds. Databricks enables AI and large language models to detect risk early and enhance governance.
U.S. Department of Veterans AffairsDatabricksJetBlue Accelerates Innovation With AI
JetBlue uses the Databricks Data + AI Platform to unify flight, aircraft, and customer data, powering its operational digital twin, Blue Sky. By streaming half a terabyte of data per flight, JetBlue gains real-time insights that enhance safety, efficiency, and customer experience, with generative AI allowing teams to query data in natural language.
JetBlueDatabricksModernizing Fuel Access in Underserved Communities
Puma Energy invested in the Databricks Data + AI Platform with Agent Bricks to predict fuel stockouts, generate safety audit reports, and personalize loyalty offers across Latin America, Africa and Asia-Pacific. The company decreased data latency by 98-99% (from 4-5 hours to under 5 minutes), reduced fuel stockouts by more than 20%, and cut data costs by 15%.
Puma EnergyDatabricks · Delta Lake · Unity Catalog +4Air India Elevates Experience With GenAI
Air India is using Databricks and generative AI to deliver customer experience and operational excellence, with leaders using natural language queries for real-time operations data and customers getting fast answers through AI-powered agents. Unity Catalog and Delta Lake provide secure, compliant data governance for sensitive and regulated information.
Air IndiaDatabricks · Unity Catalog · Delta LakeScaling Talent Mobility With Governed AI and Agent Bricks
Guild built Catalog Atlas, an enterprise-grade domain-specific agent on Databricks AI and Agent Bricks, to serve as the authoritative source of information on its learning catalog of hundreds of providers and programs. The solution cut query times by more than 80% during development, reclaimed 450 hours of productivity annually worth $33,750, and reduced manual QA checks by over 90% via automated AI judges.
GuildDatabricks · Agent Bricks · Unity Catalog +2Intuit Accelerates Small Business Lending
Intuit used Databricks AI to deliver emergency capital at scale during the pandemic, facilitating more than $1.4 billion in loans for approximately 40,000 customers on a modern cloud architecture. Intuit holds nearly 700 AI and ML patents and runs hundreds of production models for risk, fraud, matchmaking, and cash flow management.
IntuitDatabricksVinli Revolutionizes Fleet Intelligence with AI-Powered Operations
Vinli launched Velona, a next-generation AI-powered fleet management platform built on the Databricks Data + AI Platform, using agentic AI to connect vehicle and driver data with actionable business outcomes. Vinli realized a 40% faster time to market, a 2-3x increase in scalability and workload performance, and a 30% reduction in project onboarding time.
VinliDatabricks · Delta Lake · MLflow +2Navy Federal Transforms Service With AI
Navy Federal Credit Union is reshaping banking for military members by unifying data and leveraging generative and agentic AI on the Databricks Data + AI Platform. By embracing AI-augmented workflows and upskilling teams, Navy Federal delivers customized services while streamlining productivity through responsible change management and data readiness.
Navy Federal Credit UnionDatabricksDIRECTV Elevates Experience With GenAI
DIRECTV is transforming business and customer engagement through Databricks-powered GenAI, enabling rapid content creation, more intelligent knowledge retrieval and seamless personalization. Cross-functional teams pilot high-value use cases while data governance ensures privacy, ethics and model reliability.
DIRECTVDatabricksIbotta Boosts Rewards With Unified AI
Ibotta consolidated complex, expensive tooling for its digital rewards platform onto the Databricks Data + AI Platform. Teams use Databricks AI Search to surface more relevant offers to shoppers, driving higher engagement while cutting latency, and rely on AI/BI, Lakeflow Jobs, a feature store, and Model Serving to democratize advanced analytics across the organization. Unity Catalog secures multi-partner data, letting engineers and analysts build trusted AI-powered experiences and deliver cashback rewards.
IbottaAI Search · AI/BI · Lakeflow Jobs +2Cutting Onboarding From 28 Days to Hours With GenAI
Mirakl, an eCommerce software platform supporting over 100,000 merchants, used the Databricks Data + AI Platform to build Catalog Transformer, a GenAI solution that automates vendor catalog onboarding. Using Delta Lake, Unity Catalog, MLflow, Lakeflow Jobs and Model Serving running GPT, Llama, Mistral and CLIP models, Mirakl cut supplier catalog onboarding from an average of 28 days to under 24 hours (a 91% reduction) with roughly 50% fewer categorization errors, and extended the platform to Mirakl Nexus for agentic commerce.
MiraklDelta Lake · Unity Catalog · MLflow +3EXL Transforms Insurance Underwriting with Generative AI Assistant Built on Amazon Bedrock
EXL, a global data analytics and digital solutions company, built LDS Underwriting Assist, a retrieval-augmented generation chatbot integrated into its Life Digital Suite (LDS) platform to help insurers streamline the underwriting assessment and review stages that previously required underwriters to manually review hundreds of pages of documents. The service uses Anthropic Claude 3 Sonnet on Amazon Bedrock with Amazon Kendra as the chatbot interface, Amazon Textract to extract data from scanned documents, and Amazon Comprehend to analyze text and redact PII and protected health information for compliance with regulations such as India's PII guidelines. EXL tested multiple foundation models (Mistral AI, Claude 2, Sonnet 3, Amazon Titan) to minimize hallucinations before launching the service in August 2024, just 60 days after starting development. EXL reports the solution reduces underwriting processing time from several days to a few hours and has the potential to cut underwriting costs by up to 80%.
EXLAmazon Bedrock · Anthropic Claude 3 Sonnet · Amazon Kendra +2FMC Optimizes Harvests With Data and AI
FMC Corporation used the Databricks Data + AI Platform to unify fragmented data sources and streamline ML model development for its Arc farm intelligence app, which combines geospatial and weather data with vision-enabled sensor counts from pest traps to help growers anticipate insect infestations. The company grew deployed models from 18 to 33 (an 83% increase) and cut person-hours for model development by more than 50%, using Delta Lake, Unity Catalog, Lakeflow Jobs, Agent Bricks and MLflow.
FMC CorporationDelta Lake · Unity Catalog · Lakeflow Jobs +2Novo Nordisk Transforms Clinical Trials With Generative AI
Novo Nordisk, a Denmark-headquartered global healthcare and pharmaceutical company, used the Databricks Data + AI Platform to unify previously siloed clinical trial data across its FounData and DataCore platforms. In 9 months it moved from concept to MVP, and now over 20% of its development organization actively uses clinical data via FounData. The company built a 'Co-Scientist' AI agent system on Databricks Agent Bricks, Unity Catalog and AI/BI Genie to search clinical data and surface curated insights, with an expected $157M+ in net new value and $14M in efficiency gains from optimized clinical trials over five years.
Novo Nordisk· DenmarkUnity Catalog · Agent Bricks · AI/BI Genie +2Transforming Data Into Member Value: Building a Modern Data Ecosystem
Nationwide Building Society, the UK's largest building society managing £367.9 billion in assets, implemented the Databricks Data + AI Platform in 12 months to consolidate 17 of its 19 data warehouses into a single governed lakehouse on Azure. The platform uses Unity Catalog for governance across more than 5,000 internal users, MLflow for model management, and AI/BI Genie for natural-language queries, supporting personalization, fraud prevention and regulatory reporting for over 24.5 million customers.
Nationwide Building Society· United KingdomUnity Catalog · MLflow · Delta Lake +2Dongwon Improves Price Forecasting and Inventory Efficiency
Dongwon Group, a South Korean seafood, food, packaging and logistics conglomerate, adopted the Databricks Data + AI Platform to unify previously siloed data across business units and enable enterprise-wide AI-driven decision-making. Using Delta Lake and Unity Catalog, Dongwon built a raw material price forecasting model that reached approximately 96% accuracy and an inventory optimization system that saves billions of won per month, while AI/BI Genie and Databricks Assistant enabled natural-language data exploration for non-technical staff.
Gallagher: AI as a Force Multiplier for Trusted Advisors
Gallagher, one of the world's largest insurance brokers and risk management firms, built its own Gallagher AI platform on Microsoft Foundry to streamline claims summarization, policy and risk management analysis, fraud detection, document interrogation, and workflow automation across a highly regulated business. Microsoft Foundry provides secure model execution with flexible model selection and built-in compliance frameworks, Microsoft 365 Copilot is deployed enterprise-wide for daily productivity, and Copilot Studio powers specialized AI agents such as one automating the multi-line quote letter (MQL) process that extracts quotes from carrier partners and populates client letters. Data governance is enforced through a ring-fenced model using Microsoft Purview Data Loss Prevention. Gallagher reports claims summarization that used to take an hour or two now takes minutes, and more than 70,000 employees now have access to secure AI tools embedded in daily workflows.
Gallagher· United StatesMicrosoft Foundry · Microsoft 365 Copilot · Microsoft Copilot Studio +1Cafe24 Scales E-Commerce Growth With Data and AI
Cafe24, Korea's largest online shopping mall platform supporting more than 2 million brands, consolidated fragmented data (300+ GB of daily logs across 700+ tables) onto the Databricks Data + AI Platform to standardize KPIs and connect analytics directly to operational execution for its Cafe24 PRO service. Data flows through a medallion-architecture lakehouse governed by Unity Catalog, with Agent Bricks, Databricks' multi-agent AI framework, decomposing complex analytical tasks across specialized AI agents that collaborate on reasoning, analysis and execution for promotions, merchandising and marketplace operations. Business users access insights through BI dashboards and natural-language interfaces. Over a six-month period, brands using Cafe24 PRO saw a 24% increase in total revenue, a 64% increase in average order value, and a 36% increase in new customers; manual marketplace operations work dropped from more than three hours to under five minutes per marketplace.
Cafe24· South KoreaAgent Bricks · Unity Catalog · AI/BITurning 700T Customer Signals into Media Intelligence
MiQ, a global programmatic media partner, built Sigma, an advertising platform on the Databricks Data + AI Platform, to unify more than 700 trillion fragmented customer signals across watching, browsing and buying activity into a single governed intelligence layer. Data flows through a medallion architecture on Delta Lake with Unity Catalog governance, and Databricks SQL serves dashboards, Genie Spaces and agent queries. MiQ built a Planning Agent using two Genie spaces (unified consumer signals and historical campaign data) plus Vector Search to translate natural-language audience descriptions into activation segments, letting non-technical marketers go from audience discovery to media plan recommendations in minutes instead of days. Sigma has powered over 40,000 campaigns for more than 2,300 advertisers since launch, with campaigns returning 2.2x the ROI of standard programmatic campaigns; campaign planning and analysis that once took 6+ hours now takes roughly 5 minutes, and AI-assisted optimization workflows cut storage needs by 50%.
MiQDelta Lake · Unity Catalog · Databricks SQL +3From Data Chaos to a Trust Score for Every Table
Databricks' own internal Data Platform team rebuilt data governance across its internal lakehouse of more than 100,000 tables spanning engineering, go-to-market, HR, finance and product telemetry, using Unity Catalog to move from inconsistent, team-by-team access patterns to automatic, measurable governance. The team built a universal classification model tagging every table by sensitivity and domain, an internal system called Fortress enforcing purpose-bound, time-limited access via Unity Catalog's security APIs, and a continuous Data Governance Score (0-100) per dataset covering documentation, reliability and governance, propagated automatically through data lineage. The resulting governance layer now underpins AI agents used across every function at Databricks, from engineering to finance to facilities, letting teams check a dataset's governance score before using it to train a model instead of running manual reviews.
DatabricksUnity Catalog · Lakeflow Connect · Databricks Apps +3Sabesp Transforms Water Utility Operations with Lakehouse
Sabesp, Brazil's largest water and sanitation utility serving around 30 million people across 376 municipalities, modernized its legacy Oracle Exadata data warehouse by adopting Databricks, enabling a Data Mesh architecture across more than 23 business domains with Unity Catalog providing centralized governance and Databricks Asset Bundles standardizing CI/CD. Databricks' BDC Connector supports large-scale SAP data ingestion, while Databricks Genie and AI/BI Dashboards let business analysts and operational managers query data in natural-language Portuguese without SQL expertise. Foundation Model APIs give teams access to large language models for AI applications including AI-powered customer service and fraud detection. Sabesp reduced data product delivery cycles from months to weeks through domain-owned data products.
Sabesp· BrazilUnity Catalog · Databricks Asset Bundles · BDC Connector +4Scaling Real-Time Lending and Analytics for Vivriti Capital
Vivriti Capital, an Indian fintech NBFC providing structured debt solutions, migrated from Amazon Redshift and an internally built open-source data platform (Spark, Airflow, custom orchestration) to Databricks in an eight-week phased migration covering roughly 20 workflows and 50+ pipelines. Databricks SQL now powers analytics and regulatory reporting separated from transactional lending systems, with governed lakehouse tables providing built-in lineage and time-travel for RBI/SEBI audit requirements. Vivriti uses Databricks Genie for semantic search and conversational analytics, replacing an in-house text-to-SQL solution, and is building toward AI-assisted underwriting, automated credit checks, fraud detection and borrower de-duplication within real-time latency requirements. The company reports roughly 25-30% lower total cost of ownership and about 20% faster SQL performance after the migration.
Vivriti Capital· IndiaDatabricks SQL · Databricks Genie · AI/BIHP Indigo Boosts Manufacturing Yield and Traceability with Databricks and Unity Catalog
HP Indigo migrated more than 3,500 data volumes (~10 terabytes) of disparate ERP, manufacturing and field data, previously tracked manually across spreadsheets and legacy systems, onto Databricks and Unity Catalog. Unity Catalog's built-in data lineage reduced consumable traceability time from two to three days down to about one hour. HP Indigo also built a prediction model on Databricks to optimize manufacturing parameters for one of its parts, increasing yield from 60% to 92%. Databricks AI/BI Genie provides natural-language, self-service data access for business users, replacing ad hoc requests to technical teams.
A Modern Data Warehouse for Tomorrow's Healthcare Needs
Premier, a U.S. healthcare improvement company serving two out of three U.S. healthcare providers, migrated from a mix of Teradata, Azure Synapse and Oracle to Databricks SQL to support an AI-first strategy and deliver AI-ready data for products including Quality Enterprise (a benchmarking tool used by 20,000+ users) and INsights (an AI-ready analytics platform used by 77 health systems). Because Databricks SQL runs on the same unified platform as Databricks' AI and ML capabilities, Premier can prepare and serve AI-ready data directly from its warehouse. Premier's 500+ field consultants use AI features including Genie Code and Databricks Assistant to generate SQL queries and speed up analysis; the company reports patient flow analyses that once took days now complete in under three hours. Premier projects roughly $1M in annual savings, 30%+ improvement in ad-hoc analytics development, and 40% improvement in developer productivity for one of its first migrated teams.
Premier IncDatabricks SQL · Genie Code · Databricks AssistantHow Unified Marketing Data Intelligence Unlocked an Estimated $1.3M in Annual Productivity
Red Hat's marketing analytics team built the Marketing Insights and Navigation Engine (MINE), an internal conversational platform giving marketers trusted, real-time access to campaign performance, pipeline data, and metric definitions previously scattered across dashboards, documents, and internal tools. MINE runs on Red Hat OpenShift for the frontend (SSO integration, environment separation) and the Databricks Data + AI Platform for the backend, using a Lakehouse architecture and Unity Catalog for centralized governance, access control, and lineage. Built after 20 stakeholder focus groups, MINE improved time-to-insight by 70%, saving an estimated 34,000 hours annually and delivering an estimated $1.3 million in annual productivity value.
Red HatAgent Bricks · Unity Catalog · Red Hat OpenShiftProtect Crypto Assets with Governed AI
Elliptic, a blockchain analytics and digital asset compliance company, built a copilot on Databricks Agent Bricks to reduce compliance analyst workload by describing wallet activity, highlighting exposure paths, and producing neutral, report-ready risk narratives for financial institutions, crypto businesses and government agencies. MLflow tracing captures prompts, intermediate steps and final narratives for every interaction, and automated evaluation pipelines score responses for correctness, relevance and safety using LLMs as judges. Domain-specific safety guidelines distinguish between describing financial-crime typologies and inadvertently mentioning harmful activity, while custom safety scorers distinguish between explaining money-laundering patterns and promoting harmful activities. Elliptic reports compliance teams resolving high-risk screenings up to 2x faster and 40% less time needed to complete a Suspicious Activity Report.
EllipticAgent Bricks · MLflow · Databricks Foundational Models API +1Cultivating the Perfect Lawn for 2.3 Million Customers
TruGreen migrated to the Databricks Data + AI Platform, using Databricks SQL on Azure for its data warehouse, Unity Catalog for governance, Lakeflow Spark Declarative Pipelines to stream data from Dynamics 365, and Qlik Replicate for legacy ERP integration. It built TruSight, an AI-powered reporting solution delivering daily insights to 200+ branch and regional managers before crews start work at 7 AM, evaluated against ChatGPT and multiple Microsoft Copilot variants before selecting Databricks for accuracy, cost, and control over context and LLM choice. TruGreen deployed Claude Sonnet 4.5 via Databricks Model Serving (External Models), using MLflow's LLM judges to evaluate AI output quality, and has churn and lifetime-value machine learning models in production. Databricks SQL cut data warehousing costs by roughly 50%, and automated data lineage in Unity Catalog reduced ERP impact analysis from weeks to minutes (a 99% improvement).
TruGreenAgent Bricks · Databricks SQL · Spark Declarative Pipelines +4Skyscanner Scales Smarter Travel Search with the Databricks Data + AI Platform
Skyscanner, which handles 35 million searches and tens of billions of events daily, built bronze, silver and gold data layers on the Databricks Data + AI Platform to create shared Cornerstone Data Products powering multiple use cases, including a flight ranking model serving 180 million predictions daily. Unity Catalog provides governance, and the company is adopting emerging agentic AI capabilities to experiment safely and surface more relevant search results for travelers.
SkyscannerUnity CatalognCino Powers Compliant, Domain-Driven Banking AI With Databricks and AWS
nCino combines 13 years of banking data and trillions of dollars in loan history on Databricks running within a single AWS ecosystem, aiming to reduce complexity and strengthen compliance control over sensitive financial information. Unity Catalog governs data access while AI/BI Genie democratizes insights for executives, analysts and relationship managers, supporting domain-driven AI solutions for banking that the company says generic models cannot replicate.
nCinoUnity Catalog · AI/BI GenieEurowings Delivers Real-Time Travel Insights with Databricks
Eurowings, a Lufthansa Group subsidiary, migrated to a unified data platform called Minerva, built on Databricks with a medallion architecture, to replace siloed data systems. It implemented semantic search on eurowings.com using Databricks AI Search and Model Serving, replacing keyword-based search. The change delivered a 109% lift in search relevance, improved recall from 50% to over 75%, and cut search latency from six seconds to under two seconds. MLflow is used to manage the model lifecycle, with Model Serving acting as a single endpoint for testing different embedding models.
EurowingsDatabricks Vector Search · Model Serving · MLflowAgent Bricks Gives Baylor a Direct Line to the Student Voice
Baylor University's Enrollment Management division built an agent workflow using Databricks Agent Bricks to review 100% of contact center calls about financial aid and student accounts, up from roughly 5% manual sampling. Call recordings are fed via API into a medallion architecture on Databricks; a Knowledge Assistant agent gives representatives instant policy guidance, and a Multi-Agent Supervisor evaluates calls against standard operating procedures, citing timestamps and sources. Supervisors also query call data via Databricks Genie in natural language. Unity Catalog and row-level security via Active Directory groups govern access to FERPA-protected student data. The system generates a daily summary report in about two minutes and enables faster, more consistent coaching for contact center staff.
Baylor UniversityAgent Bricks · Databricks Marketplace · Unity Catalog +1Inside the Governed Data Platform Powering ChatGPT: OpenAI on Databricks
OpenAI runs its marketing, analytics, security, and finance operations on the Databricks Data + AI Platform across Azure and AWS, with usage data landing in Delta tables governed by Unity Catalog. OpenAI's Security team uses Databricks streaming pipelines to standardize infrastructure, cloud, and vendor audit logs into governed Delta tables for threat detection, investigation, and incident response, including Codex agents querying governed security data via SQL APIs. The marketing team uses a Bronze-Silver-Gold architecture to build audiences without writing SQL for one billion weekly active users, eliminating $400,000 per month in storage costs. Separately, Databricks and OpenAI announced a multi-year partnership bringing OpenAI's frontier models, including GPT models and Codex, natively into the Databricks Data + AI Platform, callable via SQL or API against data governed by Unity Catalog.
OpenAIAgent Bricks · Databricks SQL · Delta Lake +2How Bupa Australia Unified Health Data and Accelerated Analytics 8x with Databricks
Bupa Australia consolidated fragmented legacy platforms, accumulated through decades of acquisitions, onto the Databricks Data + AI Platform with Unity Catalog governance, building the Bupa Data Platform (BDP) over a three-year program. BDP powers a governed customer 360 (a 'digital health twin'), a personalization engine sourcing roughly 1,500 data features to power campaign decisioning across millions of customer touchpoints, and predictive health analytics using machine learning models to identify emerging health risks such as indicators of prediabetes, informing personalized preventative health plans, all built on explicit customer consent. Bupa reports consolidating more than 90% of business data onto a single governed platform, delivering data and analytics outcomes over 8x faster than three years prior, and identifying double-digit millions of dollars in opportunity from the transformation.
Bupa AustraliaUnity Catalog · AI/BI · GenieAmagi Ensures Millions Never Miss Their Shows
Amagi, a media technology company supporting 8,000+ streaming channels and 300+ distributors, consolidated fragmented data systems (Dataproc, Snowflake, and in-house platforms) across AWS and GCP into the Amagi Data Platform (ADP), a unified lakehouse built on Databricks with Unity Catalog governance. The platform serves real-time data for ad decisioning, content performance analytics, billing and customer reporting to internal teams (via notebooks, Genie, SQL warehouses) and customer-facing products. Amagi reports 45% cost savings from consolidating fragmented data systems, 15x faster time to market for new data products, and 35% fewer production incidents due to improved data reliability.
How Suntory Beverage and Food Turns Data into Faster Decisions with Databricks
Suntory Beverage and Food uses Databricks to unify internal and external data - sales, market share, macroeconomic inputs, and consumer/brand signals - for faster in-market decision-making. Its flagship initiative, Project Brain, uses AI to generate not just dashboards but full business narratives for monthly business reviews, built on Databricks SQL, Lakeflow Jobs, and Agent Bricks on Azure. Suntory reports significantly increased engineering throughput compared to its prior traditional data stack, with initial use cases including Project Brain turned around in a few weeks.
Agroseguro improves its agricultural insurance offering thanks to AWS's generative AI
Agroseguro, the Spanish Association of Combined Agricultural Insurance Insurers, is applying generative AI as part of a cloud migration to AWS. The insurer is pursuing AI projects for detecting fraud within insurance lines using data learning techniques, and for analyzing images as part of claims assessment using artificial vision techniques. Using Amazon Bedrock, Agroseguro has started a project applying natural language processing to help understand technical and legal documents, particularly the terms and conditions for its different insurance lines and assessment rules. The company is also developing predictive models using AI to produce more accurate risk analysis and pricing across its insurance lines.
Novo Nordisk Scales to 2,500+ Generative AI Use Cases with Amazon Bedrock
Danish pharmaceutical company Novo Nordisk built a self-service generative AI platform on Amazon Bedrock that lets employees build and customize chatbots for nonregulated business processes. More than 25,000 employees have used the platform to create chatbots for over 2,500 use cases, cutting the time to build a chatbot from months to days, at an average cost of about $10 per use case per month.
Deutsche Telekom and Google Cloud Collaborate on MINDR Agentic AI for Autonomous Network Operations
Deutsche Telekom, in partnership with Google Cloud, announced MINDR (Multi-Agentic Intelligent Network Diagnostics & Remediation), a multi-agentic AI system built with Google Gemini models on Vertex AI and developed with Google Cloud's Autonomous Network Operations framework. MINDR correlates signals end-to-end across the RAN, transport, and core network domains to proactively identify service-impacting issues and support autonomous, explainable remediation, shifting operations from reactive troubleshooting to predictive automation. MINDR builds on Deutsche Telekom's RAN Guardian Agent, live in production in Germany since November 2025, which monitors network behavior during high-impact events and traffic surges. RAN Guardian autonomously triggered over 100 remediation actions at Christmas market events in its first month and reduced the time needed to manage major events from hours to around a minute (a more than 95% improvement). For 2026 it identified 237,000 events, including around 130 Carnival events each expected to draw over 10,000 participants, served by 611 mobile sites pre-checked for issues; only 5 sites experienced peak loads, which RAN Guardian optimized during the event. RAN Guardian is now scaling across Deutsche Telekom's European national companies, starting with the Czech Republic and Croatia. MINDR's first production releases are planned for later in 2026.
NatWest Group Takes on Digital Transformation to Make Home Buying Easier
NatWest Group, a UK banking and financial services company headquartered in Edinburgh serving approximately 19 million people, families, and businesses throughout the UK and Ireland, co-created an AI-powered, cloud-based platform called "Marge" with IBM Consulting. Built with IBM watsonx Assistant technology on IBM Cloud, Marge gives mortgage call center employees real-time digital mortgage support, embedded in NatWest's existing data structures with new data added every minute through content updates and customer interactions. Employees access mortgage policy information by typing keywords into a console while on calls with customers. Since implementing the tool, NatWest saw a 20% improvement in customer Net Promoter Score (a customer loyalty metric) and a 10% decrease in call duration.
WithSecure Built Luminen, an AI Cybersecurity Assistant, on Amazon Bedrock
Cybersecurity company WithSecure built Luminen, a generative AI assistant on Amazon Bedrock, to help organizations detect and respond to security events faster, minimizing damage and reducing downtime. WithSecure provides cybersecurity solutions for mid-market companies, prioritizing privacy, data sovereignty, and regulatory compliance in the European Union. Luminen integrates with WithSecure Elements and includes a Security Awareness Assistant that analyzes complex data tables to provide a 7-day security status overview, and an Investigation Assistant that analyzes technical data on identified security issues to build a narrative. Development began in December 2023, a public beta released in May 2024, and Luminen launched in September 2024. WithSecure also uses Amazon Neptune to build knowledge graphs storing relationships between security events.
FRoSTA: Pioneering touchless invoice processing and increasing the automation rate in the procure-to-pay process
FRoSTA AG, a frozen food manufacturer with about 1,850 employees and production facilities in Germany and Poland, automated its supplier invoice processing using SAP Build Process Automation and the premium, LLM-based edition of SAP Document AI on SAP Business Technology Platform. Previously, each of FRoSTA's roughly 30,000 annual invoices for goods received was manually touched at least three times, with approvals delayed by up to two weeks when managers were traveling. The new automation monitors incoming documents, uses an LLM in SAP Document AI to extract and classify invoice data regardless of format or language, validates it against SAP and third-party systems, and creates the invoice in SAP S/4HANA Cloud Private Edition, routing exceptions to an approval workflow accessible via the Joule Work mobile app. It now takes a minute to process an invoice, from arrival to posting, 70% of automated invoices are booked without any human touch, and about 60% of the 30,000 annual goods-received invoices are processed automatically with no human intervention. The project went from ideation to go-live in three months, built primarily by an IT trainee with no programming background, with implementation support from SAP partners sovanta AG and Amista.
FRoSTA AG· GermanySAP Build Process Automation · SAP Document AI · SAP S/4HANA Cloud Private Edition +2
ABN AMRO's financial services digital transformation at a global scale with Databricks
ABN AMRO, the third-largest bank in the Netherlands, moved from a centralized on-premises data warehouse and siloed teams to the Azure Databricks Data + AI Platform, operationalizing it within a couple of months. The platform, using Delta Lake for reliable data pipelines and MLflow for deploying machine learning models, gave over 500 engineers, scientists and analysts shared access to data. ABN AMRO uses the platform for machine learning-based fraud detection to identify anomalous behavior such as money laundering, a marketing automation stack for faster, more relevant customer product recommendations, and a client dashboard giving support teams a near real-time view of customer assets and transactions. The bank delivered its use cases 10 times faster than with its previous infrastructure, with over 100 additional use cases planned.
ABN AMRO· NetherlandsDatabricks Data + AI Platform · Delta Lake · MLflow +2Orange Business Enables Trusted AI Solutions in Europe
Orange Business, the enterprise division of Orange Group, joined the NVIDIA Cloud Partner program to accelerate development of enterprise-grade agentic AI, including its Live Intelligence platform, which lets companies of all sizes securely deploy generative AI at scale by tapping into the Orange Business Cloud Avenue platform built on NVIDIA infrastructure. Orange has also applied AI to its own operations, with 73,000 employees regularly using the solution to streamline tasks, develop software, automate support procedures and enhance decision-making, benefiting from Orange's sovereign AI infrastructure supporting employees in France as well as across Europe and Africa and handling over 30,000 requests daily.
Orange Business· FranceLive Intelligence · Orange Business Cloud Avenue · NVIDIA Cloud Partner programASOS uses Azure AI Foundry to surprise and delight young fashion lovers
UK fashion retailer ASOS used Azure OpenAI Service and Azure AI prompt flow (part of Azure AI Foundry) with ChatGPT language models to build a conversational, AI-powered shopping experience that curates fashion recommendations based on customer preferences and trend data. The team built a working prototype in a few weeks, tested it with 150 internal users plus a sample of real customers with zero safety or security red flags, and verified the absence of jailbreaks during that initial testing; ASOS is confident that Azure AI Content Safety, built into Azure AI Foundry, will play a key role in assuring responsible, top-quality interactions as it moves toward wider customer testing.
ASOS· United KingdomAzure OpenAI Service · Azure AI prompt flow · Azure AI Foundry +1Operationalizing Analytics Data at Scale (DEICHMANN SE)
DEICHMANN SE, Europe's largest footwear retailer with roughly 4,700 stores in more than 30 countries and about 8.7 billion euros in 2024 revenue, adopted Databricks Lakebase, a managed PostgreSQL database integrated with its Databricks Lakehouse, to activate governed customer and product data for e-commerce marketing without building separate integration pipelines. Lakebase reduced a data-product publishing pipeline to 3 clicks and about 30 seconds, and is now in production across Europe feeding SAP Emarsys for e-commerce marketing.
Husqvarna Group Boosts Operational Efficiency with Azure Adaptive Cloud
Swedish manufacturer Husqvarna Group deployed Azure Arc, Azure IoT Operations, and Azure OpenAI Service to unify its fragmented public cloud, hybrid, and on-premises factory infrastructure and enable real-time data insights across its global manufacturing network. The rollout achieved 98% faster data deployment and 50% lower infrastructure imaging costs. Using Azure OpenAI Service, the company also built Factory Companion, an AI chatbot that gives factory teams instant troubleshooting guidance based on historical maintenance data and machine documentation, moving maintenance from reactive toward predictive.
Husqvarna Group· SwedenAzure Arc · Azure IoT Operations · Azure OpenAI Service +2Attensi Uses the Power of AI to Reduce the Time It Takes to Develop Content by up to 95%
Norwegian gamified-training software company Attensi enhanced its Creator authoring tool and simulation training platform with generative AI built on AWS services including Amazon Bedrock, Amazon SageMaker, and Amazon EKS, plus AWS Partner Hugging Face. The AI features generate dialogue, tasks and minigames, translate text, and convert text to speech, cutting content-creation time by 90-95% with Creator's AI copilots. Attensi's aggregate customer data shows game-based training drives a 19% productivity increase, 5x faster time to competence, 85% knowledge-gap closure, 2.5x revenue growth, and 75% attrition reduction.
Attensi· NorwayAmazon Bedrock · Amazon SageMaker · Amazon Elastic Kubernetes Service (EKS) +1Roche scales NVIDIA AI factories globally to accelerate drug discovery, diagnostics and manufacturing
Roche is deploying more than 3,500 NVIDIA Blackwell GPUs across hybrid cloud and on-premises environments in the U.S. and Europe, expanding an existing collaboration to turn AI and accelerated computing into a core operating capability across its pharmaceutical and diagnostics businesses. AI is central to Genentech's Lab-in-the-Loop drug discovery strategy, where nearly 90% of eligible small-molecule programs integrate AI; in one program a degrader molecule for oncology was designed 25% faster, and in another AI helped deliver a backup drug candidate in seven months instead of more than two years. Roche is also using NVIDIA Omniverse to build digital twins of manufacturing sites, including its new GLP-1 facility in North Carolina, uses NVIDIA Parabricks software to enable insights across vast datasets, is evaluating the BioNeMo platform for molecular design and chemistry innovation, and uses NVIDIA NeMo Guardrails to ensure safe and reliable healthcare-grade AI.
RocheNVIDIA Blackwell · NVIDIA BioNeMo · NVIDIA Omniverse +2omni:us: A cloud AI pipeline brings order to insurance claim processing
omni:us, a Berlin-based firm spun out of parent company Qidenus Technologies, built a hybrid on-premises and cloud AI pipeline that sorts insurance claims paperwork and automates processing for European insurers. The system captures data on-premises and processes it using cloud AI, combining convolutional neural networks, NLP, optical character recognition and handwritten text recognition to convert unstructured claims documents into structured data, aiming to help insurers settle claims within minutes instead of weeks. For a handwritten car claims case, the model achieved a handwritten character error rate of 7.25%. The company uses Google Kubernetes Engine and Container Registry for its European clients and supports on-premises deployment for insurance customers.
bunq builds intelligent banking assistant Finn with Claude
bunq, Europe's second-largest neobank serving 20 million users, built a multi-agent banking assistant called Finn using Claude, selected after A/B testing showed superior multi-step reasoning for investigating failed payments, transaction disputes, and account issues. In 2024, bunq became the first bank to launch real-time speech-to-speech AI translation, letting users speak to support agents in their native language, alongside app translation into 38 languages. With Claude's advanced reasoning, bunq's automated resolution rate improved by 8%, bringing total support automation to over 80% of tickets, account opening now takes 5 minutes instead of days, and new developers using Claude Code contribute meaningful code in 16 hours instead of 40 (a 60% reduction).
bunqClaude CodeGoJob enhances recruitment capabilities with Mistral
Gojob, a French HR-tech platform specializing in temporary worker staffing that processes over 2 million applications and completes approximately 60,000 recruitments annually across Europe and North America, integrated Mistral Large into its recruitment platform on Azure. The GenAI recruiting assistant conducts real-time conversations with candidates to automate pre-qualification and initial candidate screening.
GoJob· FranceMistral Large · Microsoft AzureZalando enhancies customer engagement and operational efficiency with Mistral
Zalando, a European e-commerce platform, integrated Mistral models hosted on AWS Bedrock into its platform to add natural language processing and machine learning capabilities. The integration supports personalized recommendations, improved customer service and streamlined operations for the retailer's shopping experience.
ZalandoMistral · Amazon BedrockTransforming the CX experience: How Cisco plans to cut renewal proposal time by 20%
Cisco's Customer Experience organization partnered with Mistral to build the AI Renewals Agent, the first solution from a strategic partnership between the two companies. Account managers previously had to manually analyze more than 50 signals across structured and unstructured customer data to draft renewal proposals. The agent uses text-to-SQL across multiple platforms, keeping customer data on premise and scaling across Cisco's own GPU cluster, with Mistral's Applied AI team collaborating on fine-tuning. Cisco estimates the agent can cut time spent creating renewal proposals and preparing for customer engagements by up to 20%.
CiscoMistralMiroglio Group Unleashes Fashion Innovation in Italy with Generative AI on AWS
Italian fashion company Miroglio Group, which designs and distributes 10 fashion and lifestyle brands across 41 countries, worked with AWS Partner Data Reply to replace its manual product-tagging process with a generative AI-powered tagging system built on Amazon Bedrock using Anthropic's Claude 3.5 Sonnet, combined with a machine learning model trained on the company's historical images. The system analyzes product images and generates accurate technical and editorial tags and descriptions across multiple languages, reaching almost 90 percent accuracy and cutting a task that previously took one month down to about one hour.
Miroglio Group· ItalyAmazon Bedrock · Claude 3.5 SonnetSAP builds a Mistral-powered multilingual chatbot that cuts SBB's software-migration support queries by 80%
To support end users during Swiss Federal Railways' (SBB CFF FFS) multi-year software migration affecting 30,000 employees, SAP built a multilingual chatbot using Mistral Large hosted entirely on SAP-operated infrastructure, making the deployment 100% European and locally hosted. The chatbot uses retrieval-augmented generation to draw on FAQs, training materials and unstructured content, with glossary-based query rewriting for domain-specific abbreviations and a human-in-the-loop process that captures expert answers into the knowledge base. It integrates into existing workflows via SAP's Build Work Zone portal and Microsoft Teams. The implementation achieved an estimated 80% reduction in repetitive support queries and scaled from 1,000 pilot users to SBB's full 30,000 employees, supporting German, French and Italian natively.
SBB (Swiss Federal Railways)· SwitzerlandMistral LargeDoctolib accelerates developer productivity with Claude Code
Doctolib, Europe's leading healthcare technology platform serving 420,000 health professionals and 90 million patients, rolled out Claude Code across its entire engineering team after piloting with 30 engineers. The platform team built a centralized repository of reusable prompts, custom commands, and subagents for documentation, testing, code review, and debugging. Claude Code migrated the company's entire legacy visual regression testing infrastructure in hours instead of weeks, automatically updates technical documentation on every code change, and now handles pull request reviews instantly through automated Claude-powered reviews on their main infrastructure repository.
DoctolibClaude CodeN26 automates customer operations with Claude
N26, a fully licensed digital bank serving customers across 24 European markets, deployed Claude via AWS Bedrock in Europe to automate document-heavy customer service workflows. Since 2024, N26 has integrated Claude into more than 15 internal applications: a customer-facing virtual assistant providing instant support in five languages, automated chargeback handling that translates documentation and recommends decisions on complex cases, processing of incoming physical claim letters, and financial crime analysis where Claude synthesizes customer data and auto-drafts investigation reports. One year after implementation, N26 automated up to 70% of tasks across targeted processes and reduced manual processing by up to 50% in specific processes.
N26Claude Platform · Amazon BedrockSmarter and faster decision-making with all data in one platform
Swedbank, the largest bank in Sweden and third-largest in the Nordic countries with more than 7 million customers, migrated its analytics capabilities and application services to a Databricks-driven platform on Microsoft Azure and implemented Immuta as its unified access control plane. Using a risk-based, twofold sourcing approach that kept on-premises scenarios running in parallel during migration, Swedbank centralized markets and share trading, customer analysis, and cybersecurity data on one internal platform, making AI and machine learning available in one click and enabling shorter development cycles and faster fraud/suspicious-behavior detection.
Swedbank· SwedenDatabricks · Microsoft Azure · Immuta
From data migration to AI innovation: AXA Switzerland's digital transformation journey with Google Cloud
AXA Switzerland, the country's leading insurer serving over 40% of Swiss companies, migrated its data lake to Google Cloud in 2021 and built a cloud-native analytics foundation using BigQuery, Vertex AI, Cloud Run and Dialogflow. Query and processing times were reduced by over 95%, from days to minutes or seconds. The insurer uses generative AI as an assistant to human employees rather than for direct customer interaction, including natural language processing to translate and summarize complex documents such as court rulings and medical records -- cutting a task that took specialists 25 minutes down to seconds. Over 100 Google Cloud projects are now live in production across all business lines.
AXA Switzerland· SwitzerlandBigQuery · Vertex AI · Cloud Run +2Novo Nordisk accelerates clinical documentation and drug development with Claude
Novo Nordisk, a global pharmaceutical company headquartered in Europe, built NovoScribe, an AI-powered documentation platform using Claude Code, Amazon Bedrock and MongoDB Atlas, to automate clinical study report (CSR) generation. Claude helped cut writing times on CSRs by 90%, reducing time spent producing clinical study documentation from 10+ weeks to 10 minutes, and delivered a 95% reduction in resources needed to create device verification protocols. The platform expanded from clinical trial reports to device protocol documentation and patient materials, and an 11-person development team, including non-technical staff, now prototypes features using Claude Code.
Novo NordiskClaude Code · Amazon Bedrock · MongoDB AtlasFraportGPT Leads the Way to the Airport of the Future: Fraport Makes Employees' Daily Tasks Easier with Azure OpenAI Service
Fraport AG, operator of Frankfurt Airport, launched FraportGPT, a company-wide employee chatbot built on Azure OpenAI Service, as its first step toward automating operations ahead of an expected 30 percent workforce reduction through aging alongside 30 percent planned growth. Programmers use it to draft code statements, lawyers use it to summarize long texts, and administrative staff use it for emails and letters and even rental-pricing formulas. Fraport plans to connect FraportGPT to in-house data sources next to further increase efficiency.
Fraport AG· GermanyAzure OpenAI Service · Azure AI Studio · Microsoft 365Coop Reaches 30% Retention with "AskCap", a Databricks Genie Assistant Born From a Hackathon
Retail cooperative Coop turned an internal hackathon prototype into AskCap, an AI assistant built on Databricks Genie and governed through Unity Catalog, that lets employees query enterprise data in natural language directly inside Microsoft Teams. Category managers use it for point lookups such as checking market share of specific products, and it has reached a 30% retention rate among internal users interacting with it.
Trackunit Builds IrisX on Databricks, Giving Construction Customers 5x Faster Time-to-Market
Construction telematics company Trackunit unified previously siloed Finance, Engineering and RevOps data (6 million connected machines, 3 billion data points processed daily) onto the Databricks Data + AI Platform, then exposed that capability to customers through its IrisX platform. OEMs, rental and construction companies building on IrisX see 5x faster time-to-market than building their own data architecture, and Trackunit is extending the platform toward predictive maintenance using Databricks Genie and Agent Bricks.
TrackunitDatabricks Data + AI Platform · Unity Catalog · AI/BI +3Bynder Reduces Search Time by 75% Using Amazon Bedrock with Amazon Titan Multimodal Embeddings
Bynder, a digital asset management company serving over 4,000 companies globally and storing more than 175 million assets (18 PB of data), built visual-similarity search using Amazon Titan Multimodal Embeddings in Amazon Bedrock. The solution converts images and search queries into vectors to match by visual and contextual similarity. One Bynder customer reports that time spent searching for assets for a typical campaign task decreased by 75%, and search results return approximately 50% more relevant options on average. Bynder does not use customer data to train the underlying large language model. The company is now exploring frame-by-frame video indexing.
BynderAmazon Bedrock · Amazon Titan Multimodal EmbeddingsSwindon Borough Council makes public information accessible with an Easy Read generative AI tool built on Amazon Bedrock
Swindon Borough Council, a local authority in England, built an Easy Read solution using Amazon Bedrock to make council documents accessible to residents with learning disabilities, low literacy or cognitive impairment. The generative AI summarizes and simplifies complex text and generates matching images, presenting simplified text alongside images on the page. The council tested the tool on a complex tenancy agreement over 50 pages long and, working with a group of Experts by Experience of a Learning Disability, refined the format based on their feedback. Combined with the council's existing Translate solution, content can be produced in 75 languages. Manually adapting a five-page document into Easy Read format previously cost around £500 and took two weeks; the council can now create an accessible multi-page document for 7-10 pence per page. The council plans to make the tool open source for other councils to use.
Swindon Borough Council· United KingdomAmazon BedrockVolkswagen Group standardises CRM on Salesforce across 10 of 52 markets, cutting case resolution 30%
Volkswagen Group, whose brands (Volkswagen, Audi, ŠKODA, SEAT/CUPRA, Volkswagen Commercial Vehicles) previously ran disconnected customer systems, built a unified CRM approach on Salesforce's Headless 360 platform, using Marketing Cloud, Sales Cloud, Service Cloud, Data 360, Tableau and MuleSoft. Standardizing the tech stack let Volkswagen roll out to 10 European markets within two years and reach 52 countries at retail level for aftersales; giving service reps a unified view of customer and vehicle history has sped case resolution by 30%. Volkswagen Group is now planning to layer in Agentforce, Salesforce's agentic AI layer, aiming to personalize interactions across the customer journey and hand off complex cases to human reps with full context, governed by the Einstein Trust Layer.
Volkswagen GroupSalesforce Data 360 · Salesforce Marketing Cloud · Salesforce Sales Cloud +5Raiffeisen Bank International Launches Its Own ChatGPT Using Azure OpenAI Service
Raiffeisen Bank International (RBI), a cooperative bank headquartered in Vienna, Austria serving 16.5 million customers in 11 markets, built 'RBI ChatGPT' using Azure OpenAI Service and Azure AI Search within Azure AI Foundry, with Azure AI Content Safety for content moderation. The tool automates repetitive tasks like documenting intelligence and summarizing legal, regulatory and banking documents, and supports line leveling in reconciliation reporting, extracting and summarizing public news articles and financial reports, drafting emails, and answering regulatory questions. RBI ChatGPT was first deployed to 2,000 users and now has an active user base of over 20,000. A feature called 'yellowGPTs' lets employees contribute their own solutions and dedicated knowledge bases built on the platform. RBI is also experimenting with tying the o1 model on Azure OpenAI Service into its application framework.
Raiffeisen Bank International· AustriaAzure OpenAI Service · Azure AI Search · Azure AI Foundry +1AWS Partner Adastra Supports KWS in Generative AI Adoption Using Amazon Bedrock
KWS, a global seed producer, uses Amazon Bedrock and generative AI to boost research speed and efficiency, supported by Adastra, an AWS Partner. Access to Amazon Bedrock's large language models gives KWS flexibility to prototype and test generative AI use cases without the cost of setting up its own large IT infrastructure, according to Bjørn Øst Hansen, KWS's senior research lead for knowledge discovery.
KWSAmazon BedrockGerman Federal Employment Agency deploys cloud-based AI with Privatemode
The German Federal Employment Agency (Bundesagentur für Arbeit, BA), with over 110,000 employees and one of the largest public authorities in Germany, needed an internal knowledge management AI chatbot but a local AI deployment would have been very time-consuming. It tested Privatemode, the confidential AI service from Edgeless Systems, which encrypts data during storage, transmission and processing. Using the Privatemode API, the BA set up a chatbot that answers questions from internal databases of its Cloud Center of Excellence, accessing the open-source Llama 3.3 70B model and scaling without owning GPU infrastructure, while keeping user data such as AI prompts protected against access by cloud, model, or service providers.
German Federal Employment Agency (Bundesagentur für Arbeit)· GermanyPrivatemode · Llama 3.3 70BRoche launches NVIDIA AI factory to accelerate the development of new therapeutics and diagnostics solutions
Roche deployed 2,176 NVIDIA Blackwell GPUs on premises across the United States and Europe, bringing its combined on-premise and cloud GPU infrastructure to more than 3,500 Blackwell GPUs. The AI factory is embedded across the value chain: NVIDIA BioNeMo powers Roche's Lab-in-the-Loop strategy connecting biological and chemistry experiments with AI models in R&D; NVIDIA Omniverse-powered digital twins optimize manufacturing production lines and factory designs; accelerated computing and NVIDIA Parabricks analyze diagnostics datasets and digital pathology images; and NVIDIA NeMo Guardrails support healthcare-grade conversational AI in digital health. The expansion builds on a NVIDIA collaboration that started in 2023, and Roche's U.S. subsidiary Genentech also leverages the infrastructure for drug discovery.
Roche· SwitzerlandNVIDIA Blackwell · NVIDIA BioNeMo · NVIDIA Omniverse +2MediaTek Accelerates AI Development With an AI Factory
MediaTek established an on-premises AI factory powered by NVIDIA DGX SuperPOD with NVIDIA Blackwell-based systems to accelerate enterprise AI efforts, including development of its Breeze series LLMs and a 480-billion-parameter traditional-Chinese model. The AI factory processes approximately 60 billion tokens per month for inference and completes over 24,000 model-training iterations monthly, training models exceeding 480 billion parameters within one week (versus 7-billion-parameter models in a week previously). Using NVIDIA NIM and TensorRT-LLM, MediaTek achieved a 40% improvement in inference speed and 60% increase in token throughput. NVIDIA Mission Control consolidated GPU provisioning and system monitoring, while AI-assisted code completion and an AI agent for chip design documentation reduced documentation time from weeks to days. NVIDIA Riva was integrated into NVIDIA DGX Spark for agentic voice control features like internet search, calendar and messaging.
MediaTekNVIDIA DGX SuperPOD · NVIDIA Blackwell · NVIDIA NIM +5ABN AMRO Bank migrates its Anna and Abby chatbots to Microsoft Copilot Studio, increasing Dutch intent-recognition accuracy by 7%
ABN AMRO Bank, one of the largest banks in the Netherlands, migrated its customer chatbot Anna and internal employee chatbot Abby to Microsoft Copilot Studio in a six-month project delivered with Microsoft and Capgemini. The new agents use Azure AI Language conversational language understanding (CLU) for intent recognition and entity extraction, with Azure Communication Services handling voice and Azure middleware relaying messages. The Anna agent now handles more than 2 million text conversations and 1.5 million voice conversations with customers every year, covering tasks like unblocking a debit card or changing an ATM withdrawal limit, while Abby supports employees with IT helpdesk and facilities requests. By integrating Azure AI Language CLU with Copilot Studio, ABN AMRO increased its intent-recognition accuracy rate for Dutch by 7%, reduced drop-off and transfer rates, and significantly cut operational and maintenance costs.
ABN AMRO Bank· NetherlandsMicrosoft Copilot Studio · Azure AI Language · Azure Communication Services +2Erste Group Bank builds a conversational AI Governance agent on Databricks, replacing ticket-based EU AI Act compliance processes
Erste Group Bank AG, one of the largest retail banks in Central and Eastern Europe, built an Agent for AI Governance on the Databricks platform, showcased at the Data + AI World Tour in Munich. The bank replaced ticket-based processes with a conversational compliance AI assistant: users can "just talk," and the system automatically structures, validates and enriches their input for AI-governance stakeholders, producing reviewer-ready packets covering EU AI Act obligations, security, data protection and architecture while maintaining an auditable trail.
Erste Group Bank AGDatabricks Agent Bricks · Databricks PlatformEpilot reduces email processing time by 87% using Amazon Bedrock
Cologne, Germany-based Epilot, which provides an extended-relationship-management (XRM) platform for energy companies, built an AI email-summarization feature on Amazon Bedrock (Anthropic's Claude via serverless AWS Lambda/SQS architecture) that summarizes long customer email threads for its 170+ energy-sector customers. Epilot generates 55,000 AI email summaries monthly with a negligible failure rate; about 80% of users say the feature simplifies their work, and users save 87% of the time previously spent on email management. Epilot also built a 'suggested actions' feature that auto-updates customer records from email content with a human in the loop, and keeps all processed data within an EU AWS Region using Amazon Bedrock's zero-retention data policy.
IBM Consulting Advantage integrates with Microsoft Copilot, saving consultants 250,000+ hours annually
IBM integrated its IBM Consulting Advantage AI-delivery platform into Microsoft 365 apps (Word, Excel, PowerPoint, Teams, Outlook) via Microsoft Copilot, giving consultants access to IBM AI assistants and agents from within their everyday tools. The integration is already used by thousands of IBM consultants, generating the equivalent of more than 250,000 hours saved annually, an estimated $35 million in new value; one example task went from nearly three hours to 13 minutes.
IBMIBM Consulting Advantage · Microsoft Copilot · Microsoft 365Siemens Industrial Copilot expanded, adopted by thyssenkrupp
thyssenkrupp Automation Engineering integrated the Siemens Industrial Copilot for Engineering into a battery machine used for battery quality inspections on electric cars, and plans to use the genAI-powered assistant at scale engineering machines at thyssenkrupp's global locations from 2025 onwards. The Copilot assists engineers in creating TIA Portal projects, developing structured control language (SCL) code faster for programmable logic controllers, integrating code into TIA Portal, and generating machine visualization in WinCC Unified, reducing repetitive tasks like data management and sensor configuration. Separately, the Siemens Electronics Factory in Erlangen, Germany implemented the Copilot for Operations across its soldering machines, helping operators and maintenance engineers translate machine error codes into natural language and suggest solutions, reducing machine downtime and production bottlenecks. The Industrial Copilot for Operations is planned to be offered as an on-premises hardware-software bundle with the Simatic Industrial PC, powered by NVIDIA NIM microservices, so no internet connection is required and data is processed and stored on local shopfloor hardware. Natural language processing is carried out via Azure OpenAI Service on Microsoft Cloud.
Epiroc uses Azure Machine Learning to predict steel quality and cut customer returns by 30 percent
Swedish equipment manufacturer Epiroc built an ESML AI Factory on Microsoft Azure Machine Learning and Azure Data Factory to create machine learning models for its steel heat-treatment process, predicting steel density, hardness and flexibility for rock drilling tools under various conditions. Epiroc reports the predictive models reduced customer rejections and product returns by 30 percent, and the company now runs eleven analytical teams' use cases in the shared AI factory.
Epiroc· SwedenAzure Machine Learning · Azure Data Factory · Azure Databricks +2Jabil builds an intelligent shop floor assistant on Amazon Q Business, giving operators instant access to troubleshooting information
Jabil, a global manufacturing and supply chain company with over 100 sites and 140,000 employees, developed an intelligent shop floor assistant -- a chatbot powered by generative AI on Amazon Q Business -- with support from AWS's Generative AI Innovation Center. The assistant gives manufacturing floor operators instant access to troubleshooting and diagnostic information, drawing on relevant documents, incident tickets, and knowledge articles from multiple systems. The first iteration was built in one week, with additional data sources integrated over following weeks. Since launch, the assistant has provided employees globally with real-time access to over 1,700 policies, manufacturing specifications, and troubleshooting documents in various languages, reducing average troubleshooting time and improving diagnostic accuracy. Jabil went on to build two further Amazon Q Business-powered assistants, an Intelligent Customer Research Assistant and an Intelligent Procurement Assistant.
Jabil· United StatesAmazon Q BusinessFerrari Advances Generative AI for Customer Personalization and Production Efficiency
Ferrari built a car configurator on AWS using LLMs in Amazon Bedrock and Amazon Personalize, letting customers personalize their vehicle across millions of possible configurations with 3D visualization, which increased sales leads and cut configuration times by 20%. Ferrari also fine-tuned Amazon Titan, Claude 3 and Llama models in Bedrock (combined with Amazon SageMaker JumpStart) on its own documentation to power an after-sales generative AI chatbot that classifies and summarizes customer care tickets, and uses Amazon Lookout for Vision to automate quality inspection and defect detection on the assembly line. Generative AI is also used to run vehicle design simulations and text-to-image prototyping to reduce reliance on physical prototypes.
Ferrari S.p.A.· ItalyAmazon Bedrock · Amazon Personalize · Amazon SageMaker JumpStart +5So nutzt Krones digitale Zwillinge und KI in der Produktion
Krones, working with technology-ecosystem partners Ansys (part of Synopsys), Cadfem, Microsoft Azure, Nvidia (Omniverse/OpenUSD) and SoftServe, developed 'Agentic Digital Twins' that combine physically exact real-time simulation with AI agents capable of judgment and decision-making for beverage production lines. Simulation runs that previously took three to four hours now complete in under five minutes; the AI agents test scenarios and settings, optimize workflows, and transfer the best solutions to real equipment. The digital twin was used in developing Krones' new 'Ingeniq' line concept, presented at Drinktec 2025. Compute-intensive simulations run on Microsoft Azure using Nvidia's accelerated computing platform.
Krones AGNVIDIA Omniverse · OpenUSD · Microsoft Azure +1Estonia rolls out Bürokratt, an AI-guided virtual assistant network for public services
Bürokratt is a network of chatbots deployed on Estonian public sector institutions' websites, letting people obtain information from institutions and use public and information services via virtual assistants. It is a state-created, AI-based digital assistant that helps institutions deliver modern, efficient, around-the-clock customer service using large language models.
Penn Advanced Research Computing Center (PARCC)
Flexential and the University of Pennsylvania's Penn Advanced Research Computing Center (PARCC) launched a phased deployment of an NVIDIA DGX SuperPOD with DGX B200 systems and NVIDIA Quantum-2 InfiniBand networking, housed at Flexential's Philadelphia-Collegeville, Pennsylvania colocation data center, to support the university's next-generation research computing infrastructure. AHEAD, a longtime provider of enterprise IT services for Penn, handled off-site rack integration and on-site cabling.
University of Pennsylvania· United StatesNVIDIA DGX SuperPOD · NVIDIA DGX B200 · NVIDIA Quantum-2 InfiniBand +1Lola - Success story at the University of Murcia
The University of Murcia deployed the chatbot Lola, built by 1MillionBot, to handle student queries during registration and university entrance exam periods. Lola has logged over 74,000 unique conversations with about 25,000 students, with a 93.4% accuracy rate. In June-July 2019, Lola answered queries from 5,525 users across 12,247 conversations and 34,423 messages, resolving 94.2% of queries, versus 28,000 inquiries handled by staff the year before implementation.
University of Murcia· SpainchatbotSchneider Electric fast-tracks innovation with Azure OpenAI Service
Schneider Electric bases customer-facing AI solutions on Azure OpenAI Service within Microsoft Cloud for Manufacturing. Its EcoStruxure Microgrid Advisor uses Azure OpenAI Service and Azure IoT for dynamic control of facility energy performance, EcoStruxure Resource Advisor Copilot helps customers manage energy usage, and the company is developing a PLC code generation copilot to automate programmable logic controller programming for manufacturing robots and IoT devices.
Schneider Electric· FranceAzure OpenAI Service · Azure Machine Learning · Azure IoT +1Kadaster runs Azure Local to keep sovereign control over the Netherlands' land registry data
Kadaster, the Netherlands' official land registry and mapping agency, runs Microsoft Azure Local to maintain full control over where its data lives and how it is governed, as its workloads have grown in scale and complexity. Azure Local underpins Microsoft's Sovereign Private Cloud, which now scales to thousands of servers within a single sovereign environment.
Kadaster· NetherlandsAzure Local · Microsoft Sovereign Private CloudMaya is simplifying banking for diverse populations
Maya, the Philippines' leading fintech company, partnered with Databricks to modernize its data architecture into a unified lakehouse on Delta Lake, centralizing 100% of its data for real-time access and AI scalability. Maya's ML-powered underwriting tools cumulatively disbursed $2.1 billion in loans by year-end 2024. AI-driven fraud detection, combining transactional sequence embedding, network analysis and predictive modeling, achieved up to a 98% reduction in fraud losses. Hyperpersonalized, AI-driven marketing campaigns increased average revenue per user (ARPU) by 45%. Using Unity Catalog for governance and automated ETL pipelines, Maya also achieved a 28% increase in storage capacity without a rise in costs.
Maya· PhilippinesDatabricks · Delta Lake · Unity Catalog +3Mobly triples conversion with Syte's visual AI search
Mobly integrated Syte's visual AI product discovery technology into its eCommerce platform. According to Mobly co-founder and CEO Victor Noda, the integration with Syte's visual AI technology tripled the company's conversion rate.
MoblySyte Visual Discovery Suite
Terray Therapeutics uses NVIDIA DGX Cloud to train generative AI foundation models for small-molecule drug discovery
Terray Therapeutics leverages NVIDIA DGX Cloud and NVIDIA Base Command Platform to train COATI, a multimodal encoder-decoder foundation model for chemistry, reducing model training time from a week to a day and improving infrastructure utilization by over 4x compared to alternate cloud services.
Terray Therapeutics· United StatesNVIDIA DGX Cloud · NVIDIA Base Command Platform · NVIDIA AI Enterprise +2Accenture and Google Cloud Support Air France-KLM in Building a Generative AI Factory
Accenture and Google Cloud collaborated with Air France-KLM to build a cloud-based generative AI factory hosted on Google Cloud that supports agentic AI capabilities, letting the airline identify, build and scale high-value gen AI, agentic and machine learning use cases. Air France-KLM has deployed a private gen AI assistant and retrieval-augmented generation use cases blending language generation with internal document search to improve diagnosing and repairing aircraft damage. The gen AI factory has accelerated development cycles by over 35%, with results already seen in ground operations, engineering and maintenance, and customer service.
Air France-KLMGoogle Cloud · Retrieval-augmented generation (RAG)Pfizer saves 16,000 hours annually with generative AI search through the PACT initiative
Pfizer and AWS created the Pfizer-Amazon Collaboration Team (PACT) initiative in 2021, pursuing 14 rapid-prototyping projects applying AWS analytics, ML and generative AI to laboratory, clinical manufacturing and supply chain challenges. Using Amazon Kendra and, later, Anthropic's Claude 2.1 via Amazon Bedrock (accessed through an internal voice/chatbot platform called Vox), Pfizer estimates scientists save up to 16,000 hours of document search time annually and cut related infrastructure costs by 55%. A separate PACT prototype uses Amazon SageMaker, Amazon Lookout for Equipment and Amazon Lookout for Metrics to detect anomalies in Pfizer's continuous manufacturing (PCMM) process. Five of the initial 14 PACT projects have moved into production.
Pfizer· United StatesAmazon Kendra · Amazon Bedrock · Amazon SageMaker +2CoreLogic cuts platform costs by 5X
CoreLogic cut platform costs by 5X after migrating its on-premises RPA platform to Microsoft Power Automate, as part of a Cognizant client engagement.
CoreLogic· AustraliaMicrosoft Power Automate · Microsoft Power BI · Microsoft Azure +1Grupo Boticário increases developer productivity by 94% with Copilot
Grupo Boticário, the world's largest beauty retail franchise with over 4,000 points of sale, standardized on GitHub Enterprise Cloud to unify a fragmented developer toolchain and made GitHub Copilot available to all 1,900 developer seats. In an internal survey, 94% of developers felt more productive and 90% reported spending less effort on repetitive tasks, with the total number of lines of code accepted via Copilot exceeding 2 million in 2024.
Grupo Boticário· BrazilGitHub Copilot · GitHub Actions · GitHub Enterprise Cloud +1Axpo boosts operational efficiency across the energy value chain
Axpo Group, a major player in the Swiss energy sector, built a GenAI knowledge platform on the Databricks Data + AI Platform to give employees secure, permission-aware search across internal data sources including technical standards, specifications and best practices. The architecture uses a medallion pattern (Bronze/Silver/Gold layers), Lakeflow Jobs for orchestration, RAG-based AI Search, GPT-4o for conversational responses, and Mistral OCR for scanned documents. The tool achieved a 90% approval rating and delivered 30% time savings for power users, with a 3x increase in user adoption as it expanded beyond engineering.
Axpo Group· SwitzerlandDatabricks Data + AI Platform · Databricks Lakeflow Jobs · GPT-4o +2Schaeffler Transforms Production With Digital Twins and Physical AI on NVIDIA Omniverse
Schaeffler Group built a digital twin platform on NVIDIA Omniverse and OpenUSD, in collaboration with Wandelbots, to plan, simulate and optimize plants, machines and workflows across its 100+ global manufacturing sites. Pilot projects in e-motor assembly (China), an inverter assembly line (Germany), and Vehicle Lifetime Solutions warehouses (Europe) cut robotic task development time from hundreds of hours to half a day and reduced commissioning times for new production lines; Schaeffler plans to integrate digital twins into more than half its manufacturing sites by 2030.
CarbonTrail cuts generative AI costs by 88% for sustainable emissions intelligence using Amazon Bedrock
New Zealand-based CarbonTrail built an AI-powered emissions measurement platform and CarbonAPI on AWS, running a document-analysis pipeline on Amazon Bedrock and workloads on AWS Inferentia to process bank-scale invoice and transactional data. The platform achieves an 87% reduction in processing time and 88% lower cost than a comparable GPT-4-with-embeddings approach, and reduces low-confidence classifications by up to 40%. The Bank of New Zealand (BNZ) uses CarbonTrail's CarbonAPI to progress toward measuring emissions across its SME customers.
Frontier Communications increases new logo sales 20% and cuts fiber pricing calculations from weeks to seconds with Databricks
Frontier Communications modernized its data foundation on the Databricks Data + AI Platform, unifying data in a secure lakehouse. Frontier's B2B sales team now uses AI-powered lead prioritization, driving a 20% increase in new logo sales; the wholesale business uses GenAI to analyze over 40,000 contracts for revenue opportunities; and fiber installation pricing calculations were reduced from weeks to seconds.
Banco Ciudad builds 10 AI agents in six months with Microsoft 365 Copilot and Copilot Studio
Banco de la Ciudad de Buenos Aires (Banco Ciudad) established an AI Center of Excellence and deployed Microsoft 365 Copilot, Copilot Studio and Azure AI Services to automate tasks and build AI agents. Starting from a pilot of 1,000 Copilot licenses, the bank built over 10 AI agents in Copilot Studio within six months to automate tasks like PDF text extraction and employee training. The bank freed up 2,400 hours annually, saved USD14,500 per month via call-center sentiment analysis on 70,000+ monthly interactions, and projects a total AI impact of USD75,000 per month, with a 90% internal approval rating for deployed AI agents, achieved without headcount reduction.
Banco de la Ciudad de Buenos Aires· ArgentinaMicrosoft 365 Copilot · Microsoft Copilot Studio · Azure AI Foundry +4WideLabs Justice Intelligence platform makes legal services more accessible for 8 million citizens in Rio Grande do Sul, Brazil
WideLabs built the Justice Intelligence platform for the Public Ministry of Rio Grande do Sul (MPRS) in Brazil, consisting of two AI agents — the TORI Investigation Assistant and the Archiving Intelligence Assistant — plus a Citizen Access Agent for the public. The platform uses NVIDIA NeMo Retriever for RAG pipelines, NVIDIA NIM microservices for deployment, NVIDIA NeMo Curator for document preprocessing, NVIDIA NeMo Customizer for domain-specific model tuning, and NVIDIA NeMo Guardrails for safety and consistency. The system went into full production in January 2025, serving more than 8 million citizens across 497 municipalities, and per MPRS deputy attorney general João Cláudio Pizzato Sidou, procedures that could last months or years can now be resolved or advanced in less than a day.
Public Ministry of Rio Grande do Sul (MPRS)· BrazilNVIDIA NeMo Retriever · NVIDIA NIM · NVIDIA NeMo Curator +3Natura unifies data governance across 200+ AI initiatives with Databricks Unity Catalog
Brazilian beauty company Natura standardized on Databricks and Unity Catalog after previously running siloed data warehouses (Redshift, SAS, BigQuery) across countries and departments. Natura now supports more than 200 initiatives on Databricks, governs 178 data products across 19 onboarded domains, and uses AI/BI Genie for natural-language data queries. CRM initiatives built on the governed data now generate 8% of Natura's revenue.
Natura· BrazilDatabricks Data + AI Platform · Unity Catalog · AI/BI GenieGenerali France uses AI to detect property and casualty insurance fraud
Generali France extended its partnership with Shift Technology from auto insurance into property damage insurance, deploying Shift's Force solution to detect anomalies in claims in real time by combining internal claims/contracts data with third-party sources (government data, aerial imagery, geolocation). Shift's detection focuses on 107,000 of Generali's 125,000 annual P&C claims, with roughly 3,000 claims analyzed a day and a goal of raising the recognized-fraud rate from 0.7% toward the market-leading 2% benchmark.
Generali France· FranceShift Technology Force
Accelerating the Radiological Workflow With AI at University of Wisconsin–Madison
The UW-Madison Department of Radiology uses NVIDIA DGX BasePOD with the MONAI imaging framework (integrated into Flywheel's healthcare data platform) and NVIDIA FLARE for federated learning to curate imaging datasets and rapidly iterate on AI models for tasks like pediatric bone age assessment and opportunistic screening. Ten thousand abdominal CT cases that previously took six to eight months to process manually can now be processed in a day; over one million images can be processed in under a day. The tools are being deployed via containers to a 21-site global clinical trial.
University of Wisconsin–Madison Department of RadiologyNVIDIA DGX BasePOD · NVIDIA DGX A100 · NVIDIA Base Command +5Furniture.com Transforms Online Search with Databricks
Furniture.com unifies over 60 retail partners and 1.5 million SKUs on the Databricks Data + AI Platform, using Delta Lake, MLflow and Unity Catalog to run its ML lifecycle. Its Find It AI product-discovery tool uses generative AI to create a synthetic image representing shopper intent, then matches it against the product catalog for image-based search. A Collections model uses LLMs to automatically group related products, finding more than 16,000 collections across 50+ partners with no human intervention. Users who interact with Find It AI show a click-through rate 8x higher than baseline and a return rate 3.2x higher than baseline.
Furniture.comDatabricks Data + AI Platform · Delta Lake · MLflow +3Empowering Marketing Teams to Drive Greater Impact at Reckitt
Reckitt built an AI system called the Insight Engine on the Databricks Data + AI Platform, unifying consumer research, product reviews and social listening signals to give marketing teams faster, actionable insights. The system uses Databricks Model Serving to deploy multiple LLMs including OpenAI's ChatGPT-4 and Google's Gemini, AI Search for retrieval-augmented generation, and Agent Bricks AI Gateway for governance. Reckitt's marketing teams achieved a 40% improvement in task execution, a 40-60% reduction in time to develop campaign concepts, 60% faster concept development, and 30% faster ad adaptation and localization, with hundreds of marketers using the AI tools across the organization by the end of 2025.
ReckittDatabricks Data + AI Platform · Databricks Model Serving · OpenAI ChatGPT-4 +3Multitudes Builds Code Review Quality Feature in 2 Months Using 3 LLMs on Amazon Bedrock
Multitudes, a New Zealand-based engineering analytics startup, used Amazon Bedrock to build a code review quality feature, testing over 10 large language models across roughly 1,000 code reviews before choosing Amazon Nova Pro for bot detection, Anthropic Claude for feedback specificity and prompt-injection detection, and Mistral for sentiment analysis, orchestrated with Amazon Elastic Container Service. The feature increased monthly active users by 44 percent within two months of launch and reduced severe misclassification rates from 20 percent to under 1 percent.
Building a clean energy future with natural language analytics
Williams, a large-scale natural gas infrastructure operator, deployed Databricks AI/BI Genie to give commercial, regulatory, accounting and technical staff natural-language, self-serve access to analytics. The team flattened 27 disparate tables into SQL models that Genie Spaces reason over, encoding internal acronyms and business logic into Genie's instructions, powered by Databricks Unity Catalog. A data request that previously took an analyst five days now completes in seconds with validated accuracy, and the weekly backlog of data requests dropped from up to ten to one or two, freeing analysts for predictive modeling and enterprise projects.
WilliamsDatabricks AI/BI Genie · Databricks Unity CatalogAkzoNobel builds portfolio of 60+ autonomous AI agents on RISE with SAP and Databricks foundation
AkzoNobel consolidated 46 ERP systems down to a planned 4, standardizing on RISE with SAP and harmonizing master data with Deloitte, then connected the SAP environment to Databricks to combine structured and unstructured data for AI. On this foundation, AkzoNobel's IT organization built a portfolio of more than 60 AI agents that autonomously execute tasks such as releasing credit blocks and handling HR and logistics transactions, fully autonomously carrying out more than 750,000 actions in the first nine months, with 90% of credit blocks now resolved automatically.
AkzoNobel· NetherlandsRISE with SAP · SAP CFIN · SAP ECC +1Humanoid's HMND 01 completes autonomous logistics at Siemens factory in Erlangen
At a Siemens blueprint autonomous electronics factory in Erlangen, Germany, Humanoid's HMND 01 wheeled humanoid robot — running the NVIDIA Jetson Thor edge AI module for on-robot compute and developed using Isaac Sim and Isaac Lab open frameworks for simulation and reinforcement learning — completed autonomous logistics operations in a first proof of concept within the production environment. Humanoid's simulation-first development compressed what typically takes up to two years of hardware development down to seven months.
Siemens· GermanyNVIDIA Jetson Thor · Isaac Sim · Isaac Lab +1TBC Bank Operationalizes Trusted Data with Lakebase
TBC Bank, the largest banking group in the Caucasus region, built a Lakehouse on Databricks and adopted Lakebase and Databricks Apps to move from on-premises SQL Server instances and month-long reporting cycles to self-service analytics and AI-driven applications, including a web-based AI chatbot and AutoML-based credit risk scoring. Credit risk model deployment fell from 14 weeks to two days, and more than 600 users regularly query governed data through Genie.
TBC Bank· GeorgiaDatabricks Platform · Lakebase · Databricks Apps +4Reinventing mobile banking with ML
HSBC used Azure Databricks and Delta Lake to unify data analytics across data engineering, data science and analysts for its PayMe mobile payments app, applying NLP and machine learning for fraud detection, personalization and recommendations. Data processing for complex analytics dropped from 6 hours to 6 seconds, 14 read replica databases were consolidated into one Delta Lake, and app engagement improved 4.5x.
HSBC· Hong KongAzure Databricks · Delta Lake · Agent BricksBMW Group Delivers Generative AI-Based Cloud Optimization Assistant (ICCA) Using AWS
BMW Group developed the In-Console Cloud Assistant (ICCA), a conversational generative AI assistant built with Amazon Bedrock, to help its 450+ DevOps teams across more than 450 AWS accounts monitor performance, identify bottlenecks, and detect optimization opportunities. Built with the AWS Generative AI Innovation Center, ICCA keeps data within the BMW Cloud Room hosted on AWS and has helped BMW scale cloud governance and reduce costs and time to market.
BMW Group· GermanyAmazon BedrockREMA 1000 creates a blueprint for culture-led Microsoft 365 Copilot readiness
REMA 1000, a Norwegian discount grocery brand with nearly 700 franchise stores and part of Reitan Retail, built a culture-led governance foundation using Microsoft 365 E5 to unify Teams, SharePoint and OneDrive before rolling out Microsoft 365 Copilot. By 2025, all administrative employees had completed Microsoft Teams training and exceeded the company's 70% security knowledge benchmark. Employees now use Microsoft Copilot Chat to summarize discussions and retrieve information; one regional marketing manager described using Copilot to catch up on missed Teams channel activity after a sick day in about two minutes. The rollout reduced security risk and shadow IT by centralizing collaboration and AI usage within the Microsoft 365 tenant.
REMA 1000· NorwayMicrosoft 365 E5 · Microsoft Teams · SharePoint +5Innovating banking efficiency: National Bank of Greece transforms operations with Microsoft Azure AI Document Intelligence
National Bank of Greece (NBG), which serves 6 million customers across 356 branches, built a Document AI solution on Azure AI Document Intelligence (formerly Form Recognizer) to replace a limited rule-based OCR process. Built in under four months after analyzing 50 million pages to create a training dataset, the solution now supports about 20 document categories across nearly 60 document templates (tax forms, payroll certificates, IDs, energy certificates, utility bills), processes documents at under 0.5 seconds per page, and integrates with six customer-facing digital banking applications. Accuracy improved to approximately 90%, the system is tuned to recognize the Greek language, and NBG now processes over 700,000 pages per month.
National Bank of Greece· GreeceAzure AI Document Intelligence · Azure Cognitive Services · Azure Machine LearningSiemens Electronics Factory Erlangen Reduces Machine Learning Deployment Time by 80% with AWS and Siemens Industrial AI on Industrial Edge
Siemens Electronics Factory Erlangen, which manufactures PCBs and controllers such as SINAMICS converters and SINUMERIK CNC controllers, used computer vision models to spot anomalies in PCB assembly, but training and retraining ML models on premises was time-intensive and constrained by GPU bottlenecks. The factory adopted AWS services together with Siemens Industrial Edge and Siemens Industrial AI, sending shopfloor images via Edge applications to Amazon S3 before training via Amazon SageMaker or AWS Lambda; training results and edge prediction results are monitored through AI Model Monitor, with AI Model Manager providing central management of models on the shopfloor. This reduced time spent on model training and retraining by 80 percent (from about 30 minutes to roughly 5 minutes for retraining and deployment), cut costs by more than 90 percent compared to on-premises data storage systems, and reduced the false call rate by over 50 percent, while continuously preventing around 4 percent of PCB assembly errors compared to around 60 percent at peaks in the past.
Siemens Electronics Factory ErlangenAmazon S3 · Amazon SageMaker · AWS Lambda +5Cure51 Achieves 17x Speedup in Genomic Analysis Using NVIDIA DGX Cloud
Cure51, a Paris-based Sofinnova portfolio company, achieved a 17x speedup in genomic analysis and 2x cost savings by shifting workloads to NVIDIA Parabricks running on NVIDIA DGX Cloud, accessed through the DGX Cloud Lepton program for top European healthcare and life sciences venture-backed startups, which offers access to NVIDIA H100 GPU nodes and white-glove support to help scale into markets requiring sovereign, localized compute.
Berenberg's Gemini Enterprise transformation
Berenberg, Germany's oldest private bank (founded 1590, €39 billion AUM, 1,600 employees), is the first bank in Europe rolling out Gemini Enterprise bankwide with Google Cloud. Berenberg's AI journey began in 2018 with traditional ML for portfolio management, then in 2022 the bank built BegoChat, a custom AI assistant on Vertex AI, to aggregate and analyze broker reports, company filings, and news for equity portfolio managers, infused with Berenberg's proprietary investment frameworks. A similarly built tool generates the bank's daily 'Morning Mail' market briefing, with AI assistance producing content 85-90% faster with human review for quality and compliance. Berenberg later adopted NotebookLM for an 'Everyday AI' layer of document summarization, translation, and comparison, and is now rolling out Gemini Enterprise (formerly AgentSpace) across the bank starting in 2026, giving employees a marketplace of centrally managed generic and role-specific agents (Research, financial analysis, Due Diligence support).
Berenberg· GermanyVertex AI · NotebookLM · Gemini EnterpriseBuilding the intelligence foundation for the energy transition
BKW, a Switzerland-headquartered energy and infrastructure company, needed a more scalable, integrated approach to working with complex weather and geospatial data to support decisions across energy production, grid management, and infrastructure services as renewable penetration and climate volatility rise. BKW partnered with Microsoft to combine Aurora (an AI weather foundation model from Microsoft Research AI for Science and Microsoft AI Weather), Microsoft Planetary Computer Pro with AI Weather Grid HD EU data catalogs, and Azure-native infrastructure (Azure Container Registry, Azure Container Apps, Azure Application Insights, and an MCP server) into a unified platform for AI-driven weather and geospatial intelligence, with BKW retaining governance over how insights are applied. The collaboration is described as an exploratory, foundation-building engagement rather than a production deployment, giving BKW's data scientists, domain experts, and technology teams a shared, governed platform and supporting its net-zero and sustainable energy goals.
BKW FMB Energie AG· SwitzerlandAurora · Microsoft Planetary Computer Pro · Azure Container Registry +4Novo Nordisk accelerates clinical insight with custom agents on Azure
Novo Nordisk wanted to accelerate pharmaceutical R&D decision-making by helping researchers explore and validate clinical hypotheses faster using AI-assisted quantitative analysis. Working with Microsoft's AI Acceleration Studio (Forward Deployed Engineering team), Novo Nordisk built a governed reasoning agent on Azure, drawing on its FounData initiative which harmonized more than 200,000 patient-years of clinical trial data aligned to CDISC, SDTM, and ADaM industry standards. The agent lets researchers ask complex scientific questions in natural language and generate and execute code against proprietary clinical datasets, with human-in-the-loop validation by biostatisticians before outputs influence decisions. Before production rollout, the teams ran thousands of automated tests and layered evaluation systems. The solution is reducing time to insight from weeks to minutes and increasing the number of scientific questions teams can evaluate from roughly 5-10 strong ideas per quarter to 50+.
Novo Nordisk A/S· DenmarkMicrosoft Azure · Microsoft AI Acceleration StudioUNIQA SEE cuts health insurance claims processing times by 90% with Azure AI
UNIQA SEE's claims handlers faced fragmented documents, manual tasks, and heavy call-center reliance that slowed claims processing. Using Microsoft Azure AI alongside Microsoft Foundry, Azure Document Intelligence, and Azure OpenAI, UNIQA SEE built an end-to-end AI-driven medical referral solution that extracts, validates, and integrates referral letter data via APIs into the core claims system. The solution reduced claims processing time from 15-30 minutes to 2-3 minutes (an 85-90% reduction), lowered costs and call volumes, and freed staff for higher-value work. UNIQA SEE also introduced a self-service web and mobile app allowing customers to submit medical referral letters digitally. UNIQA SEE became the first insurer in Southeastern Europe to implement an AI-powered business process solution of this kind.
UNIQA Insurance Group· AustriaMicrosoft Azure AI · Microsoft Foundry · Azure Document Intelligence +1NOL UNIVERSE builds unified data lakehouse with Databricks, cutting batch computing costs by 77%
NOL UNIVERSE, a Korean travel, leisure, and culture platform operating the NOL, NOL Interpark Tours, and NOL Tickets brands, migrated approximately 2,500 Hive-based queries and its Apache Airflow/NiFi pipelines to the Databricks Platform, consolidating disparate BI tools into a single environment and giving each business domain a self-service analytics environment governed by Unity Catalog. The customer service team also used Databricks machine learning to automate categorization of CS consultation history. The migration was completed in two months, reducing time to complete batch aggregation by 66%, decreasing batch computing costs by 77%, and increasing data availability time by 27%.
Eni runs 20-year reservoir forecast in 30 minutes using Stone Ridge Technology's ECHELON 2.0 on NVIDIA GPUs
Eni and Stone Ridge Technology (SRT) developed ECHELON 2.0, the first commercial compositional reservoir simulation software designed exclusively to run on NVIDIA GPUs, deployed on Eni's HPC5 supercomputer of 1,820 Dell EMC servers with four NVIDIA V100 Tensor Core GPUs each (7,280 V100 GPUs total). In a test, ECHELON 2.0 ran an 11.2-million-cell compositional model with nine components across a 20-year forecast in 30 minutes using eight NVIDIA A100 40GB GPUs. Eni used the software for deep-water reservoir, offshore oil field, and deep-water gas field simulations, including calibrating a strategic gas field in North Africa by running hundreds of simulations quickly.
EniNVIDIA A100 40GB Tensor Core GPUs · NVIDIA V100 Tensor Core GPUs · Stone Ridge Technology ECHELON 2.0COMLINE launches GenAI-as-a-service based on HPE Private Cloud AI from German data centers
German IT service provider COMLINE SE is expanding its cloud offering with HPE Private Cloud AI, co-developed by HPE and NVIDIA, deployed within its existing GreenLake environment operated from data centers in Berlin and Frankfurt/Main. COMLINE's first generative AI project will use HPE Private Cloud AI to classify 1.6 million legal documents per day for compliance checks for a real-estate business customer, while ensuring data sovereignty from German cloud data centers. COMLINE will also use the solution to further automate its own IT operations.
GAC R&D Center sets record-low vehicle drag coefficient using NVIDIA GPU-accelerated CFD simulation
GAC R&D Center (GAC Group) deployed NVIDIA V100 SXM2 Tensor Core GPUs on its hybrid cloud HPC platform, using Altair's ultraFluidX CFD software for GPU double-precision computing, to design a new concept car. In less than six months the team completed over 200 transient CFD simulations of vehicle outflow, achieving a simulation drag coefficient of 0.147 (wind tunnel test value 0.146 at Tongji University's Shanghai Automotive Wind Tunnel Center), a new record versus the previous 0.19. Compared to conventional CFD approaches, manual modeling effort was reduced by nearly 60% and total simulation time was shortened by about 70%.
Guangzhou Automobile Group Co., Ltd. (GAC Group)· ChinaNVIDIA V100 SXM2 Tensor Core GPUs · Altair ultraFluidXAtlante focuses on sustainability and growth using generative AI and AWS
Atlante, the fast and ultra-fast EV charging network for Southern Europe, built its platform from scratch on AWS using serverless and fully managed services. Atlante's data science team uses generative AI services including Amazon Q and Amazon Bedrock, and is able to track carbon emissions, helping the startup increase efficiency and save money while protecting the planet.
Illimity modernizes commercial banking with Databricks and adopts LLMs for customer-centric chatbots
Illimity, an Italian digital bank, built its data architecture entirely around the Databricks Data + AI Platform to process data in real time, extract actionable insights and securely share it with partners. Databricks has supported Illimity's adoption of LLMs, using vector embedding and vector databases, to inform its knowledge base and power intelligent customer-centric chatbots. Illimity is also exploring Databricks Clean Rooms to monetize its architecture using deterministic or machine learning models without compromising confidentiality.
University of Florida builds NaviGator AI platform on HiPerGator supercomputer using NVIDIA NIM and Nemotron
The University of Florida uses its HiPerGator supercomputer with NVIDIA NIM microservices and Llama NIM to power NaviGator, a suite of self-service AI tools including chatbots and a toolkit giving students, faculty, and staff access to proprietary and open-source models. The platform is a hybrid service combining on-premises HiPerGator infrastructure with AWS, Google Cloud, and Azure, built for cost predictability, data privacy, and on-premises control of sensitive research and student PII data. Key takeaways include nearly 24,000 unique users for NaviGator Chat, 1,500+ unique uses of NaviGator ToolKit (52% from university staff), and 20 LLMs available in NaviGator.
University of Florida· United StatesNVIDIA NIM · NVIDIA Nemotron · Llama NIMTrustpilot boosts win rates 36% and reduces support backlog by 99% with Agentforce
Trustpilot became an Agentic Enterprise with Salesforce, using Agentforce and Data 360 to automate support and deflect cases, boosting win rates by 36%, reducing support backlog by 99%, and unifying customer data, engagement signals and account history for prioritizing prospects.
AT&T reduces fraud by up to 80% with the Databricks Data + AI Platform
AT&T migrated from a legacy on-premises, rules-based fraud detection system to the Databricks Data + AI Platform, moving to a unified lakehouse architecture. AT&T now runs over 100 ML models in production that use real-time data, automatic alerts and recommendations to protect its 182 million wireless customers from fraud including robocalls, robotexts, illegal unlocks and identity theft, reducing fraud by up to 80%.
Mercedes-Benz Consulting builds AI-powered digital assistant for natural-language document search
Mercedes-Benz Consulting transformed how employees access information by building an AI-powered digital assistant that processes natural language queries. Using Amazon SageMaker and AWS Lambda, the platform significantly improved knowledge access across millions of documents.
Mercedes-BenzAmazon SageMaker · AWS LambdaBMW Group reduces test case creation from 10 days to hours with an AI-powered migration factory
In a session from AWS re:Invent 2025, Frank Uslaub, Vice President of Transformation Programs at BMW Group, shared how BMW built an AI-powered migration factory to modernize legacy systems at speed and scale. Partnering with AWS Transform, BMW reduced test case creation from 10 days to hours, increased test coverage by 60%, and migrated 7 applications in just 6 months — targeting a 12-month reduction in its overall transformation timeline.
BMW GroupAWS TransformSiemens increases global search speed 3x and cuts costs 70% using Amazon Nova
Siemens wanted to help its customers navigate its many business and product lines to find what they need without sifting through multiple websites. Using AWS, the company implemented generative AI to optimize its global search: users can now enter queries in natural language and receive the most relevant information in seconds. Siemens eliminated no-results searches and improved global search speed. With access to Amazon Nova models in Amazon Bedrock, responses are three times faster, giving clients across industries high-quality information while reducing costs by 70 percent.
Siemens AGAmazon Nova · Amazon BedrockNovo Nordisk builds AI drug discovery platform on Azure with Microsoft Research
Novo Nordisk partnered with Microsoft Research to build an AI platform on Azure AI and data stacks spanning regulatory affairs, early research, drug discovery and trial design, using Azure OpenAI Service, Azure Cosmos DB and Azure Kubernetes Service, with Power BI and Power Apps for collaboration. The platform includes a copilot for researchers, shared reasoning-chain templates, and governance/auditing of how data and models are used. The teams published early results on predictive AI models for cardiovascular disease risk detection, including an algorithm that Novo Nordisk says predicts patients' cardiovascular risk better than the best clinical standards, drawing on more than 100 years of insulin research data.
Novo Nordisk· DenmarkAzure OpenAI Service · Azure Cosmos DB · Azure Kubernetes Service +2Reveleer processes 45 million pages of medical records quarterly with AI on AWS
Healthcare data and analytics company Reveleer uses Amazon Textract and Amazon Comprehend Medical to scan medical chart data and identify diagnostic conditions with high accuracy for value-based care programs, highlighting findings for medical coders so they don't have to manually review thousands of pages per patient. The Reveleer platform maintains 100% uptime with 90% of responses served in under 8 seconds, and processed over 45 million pages of medical chart data in the first quarter of 2024. Reveleer plans to add Amazon Bedrock foundation models to its platform.
ReveleerAmazon Textract · Amazon Comprehend Medical · Amazon BedrockFerrari increases custom vehicle configurations 20% with Amazon Bedrock generative AI
Ferrari used Amazon Bedrock to access and benchmark multiple foundation models, delivering a 20% increase in custom vehicle configurations and boosting productivity for over 1,000 technical users via a generative AI-powered knowledge base. Ferrari also built an AWS-enabled Car Configurator for immersive virtual vehicle configuration and achieved up to 60% faster simulations for customized models.
FerrariAmazon BedrockBMW Group boosts production efficiency with NVIDIA DGX and generative AI
BMW Group uses NVIDIA DGX systems to train deep-learning-based synthetic data generation models that power SORDI (Synthetic Object Recognition Dataset for Industries), the largest open-source dataset for industrial AI with over 800,000 photorealistic images across 80 categories. DGX systems deliver an 8x boost in data scientist productivity and 4-6x improved performance over BMW's prior legacy systems; AI training for door-sill defect detection now takes under an hour using as few as five images, and the time required for employees to implement AI automation in QA tasks overall has been cut by more than two-thirds.
BMW Group· GermanyNVIDIA DGX · NVIDIA Base Command · NVIDIA AI Enterprise +2Argonne National Laboratory accelerates cosmic discovery with AI-powered RADAR framework
Argonne National Laboratory and university collaborators developed RADAR, a federated, privacy-enhancing framework that lets observatories coordinate gravitational-wave and radio follow-up without moving or exposing proprietary data. Running site-local AI inference on NVIDIA GPUs across the Polaris, Delta and DeltaAI supercomputers, RADAR processed over an hour (4,096 seconds) of Advanced LIGO data in under 4.5 minutes, a 5-10x speedup versus CPU workloads. The RADAR paper has been accepted for publication in The Astrophysical Journal Supplement Series.
Myriad Genetics speeds document processing with AWS GenAI Intelligent Document Processing Accelerator
Myriad Genetics partnered with the AWS Generative AI Innovation Center to replace an Amazon Textract/Comprehend pipeline with Amazon Bedrock foundation models (Nova Pro for classification, Nova Premier for extraction) using the open-source GenAI IDP Accelerator. Document classification accuracy rose from 94% to 98%, classification cost per page fell 77% (3.1 cents to 0.7 cents), and classification time fell 80% (8.5 minutes to 1.5 minutes per document). Automated key information extraction reached 90% accuracy matching the manual baseline, with a projected $132K in annual savings and 300 hours saved monthly across 9,000 prior authorizations in the Women's Health unit alone.
Myriad GeneticsAmazon Bedrock · Amazon Nova Pro · Amazon Nova Premier +2Subaru selects HPE Cray XD670 servers to accelerate AI development for next-generation EyeSight driver assist system
Subaru selected HPE Cray XD670 servers, powered by eight NVIDIA H200 GPUs each, to run an on-premises AI development environment at SUBARU Lab, supporting AI-driven image recognition for its next-generation EyeSight driver assist system as part of a goal to eliminate fatal traffic accidents by 2030. The energy-efficient XD670 delivers twice the performance of Subaru's existing system, using direct liquid cooling, and ranked top in MLPerf Inference v5.0 benchmarks.
Subaru Corporation· JapanHPE Cray XD670 · NVIDIA H200 GPUs · HPE Tech Care ServiceHafnia modernizes maritime operations with Databricks Lakebase
Maritime tanker operator Hafnia built a 'data supermarket' on the Databricks Data + AI Platform and adopted Lakebase, a managed Postgres database natively integrated into Databricks, to run operational applications alongside analytics. This powers Hafnia's internal DNA Port operating portal and the Marvis AI copilot. Time to deliver production apps dropped from about two months to four or five days (90%+ reduction), and a 10-person data team now supports 10 departments, 200+ vessels and 4,500+ crew.
StoryGraph scales self-hosted LLM and ML models to 300 million monthly requests
Book recommendation platform StoryGraph, run by a two-person team, scaled AI/ML infrastructure to handle 300 million monthly requests by self-hosting large language models rather than using external APIs like ChatGPT. Self-hosting was driven by data privacy and cost: using GPT-4 at their scale was calculated to cost approximately $770,000 per month, versus a fraction of that self-hosted. The company processes roughly 1 million LLM requests per day using Redis-based queuing across GPU servers and migrated its database to a 60-server YugabyteDB cluster.
KT Corporation and Microsoft launch five-year multibillion-dollar AI partnership in Korea
KT Corporation and Microsoft announced a five-year, multibillion-dollar strategic partnership to drive AI transformation for more than 650,000 businesses and 17 million consumers in Korea. The plan includes a Korea-customized GPT-4o via Azure OpenAI Service, a Korean sovereign cloud (Secure Public Cloud) built on Microsoft Cloud for Sovereignty, a new AX-specialized service company, an AI co-innovation center with Microsoft Research, and deployment of Microsoft 365 Copilot and GitHub Copilot to KT employees, with more than 19,000 employees to be trained in cloud and AI skills.
NTT DOCOMO improves LLM usage analysis efficiency by 90% with Databricks
NTT DOCOMO built an internal 'LLM value-added platform' (approximately 10,000 monthly active users, 3 million monthly calls) and used the Databricks Data + AI Platform, including Model Serving for Azure OpenAI's GPT-4o and AI/BI Genie, to automate analysis of usage logs. This replaced manual Excel/Jupyter workflows, cutting monthly analysis work from 66 hours to 6 hours, a 90% reduction, while improving data governance via Unity Catalog.
Turkish Airlines innovates with Red Hat OpenShift AI
Turkish Airlines' technology company, Turkish Technology, deployed Red Hat OpenShift AI on premise, on bare metal, with support from a team of 5 Red Hat consultants, to build a scalable, cloud-ready AI infrastructure. The platform provides container orchestration for GPU compute resources and integrates with the Dremio distributed query engine as a data ingestion layer. Operations teams can now create data science workspaces in minutes rather than hours, and deployment times for AI models have halved thanks to standardized YAML-based deployment. AI initiatives span more than 60 live models, including real-time dynamic pricing, payment fraud detection, ground-time predictions, tail assignments, on-time performance predictions, and generative AI use cases for employee experience and productivity. More than 200 Turkish Airlines employees now work on AI-based development as citizen data scientists. The airline's Head of Data and AI, Emre Yavuz, said AI projects are targeted to create over USD 100 million in financial impact by boosting revenue, decreasing operational costs, and increasing efficiency.
Turkish Airlines· TürkiyeRed Hat OpenShift AI · DremioAmphitrite Rides AI Wave to Boost Maritime Shipping, Ocean Cleanup With Real-Time Weather Prediction and Simulation
France-based startup Amphitrite fuses satellite data and AI to simulate and predict oceanic currents and weather, using the NVIDIA AI and Earth-2 platforms. Its fine-tuned, three-kilometer-scale AI models (dubbed ORCAst), trained on NVIDIA GPUs, analyze ocean current, wave, and wind data to help ships optimize routes and reduce fuel consumption and carbon emissions. Amphitrite trains and runs its AI models using NVIDIA H100 GPUs on premises and in the cloud, building on the FourCastNet model from Earth-2. Fusing AI and satellite imagery, Amphitrite can improve the accuracy of global ocean current analyses by up to 2x compared with traditional methods. A case study along the Mediterranean Sea found the NVIDIA-powered Amphitrite fine-scale routing solution helped reduce one shipping line's carbon emissions by 10%. Shipping and oceanographic companies using Amphitrite's solutions include CMA-CGM, Genavir, Louis Dreyfus Armateurs, and Orange Marine; the company also works with an NGO to track and remove plastic pollution in the Pacific Ocean.
Vodafone applies Microsoft's AI-powered blueprint for autonomous network operations
Vodafone is working with Microsoft to apply a proven AI-powered blueprint for autonomous network operations across transport infrastructure and field-force management, combining Vodafone's network expertise with Microsoft Foundry and the Network Operations Agent (NOA) framework. The blueprint is built on Microsoft's own experience running autonomous agents across its global Azure transport network, where AI continuously monitors performance, identifies root causes, and autonomously manages more than 65% of fibre-break field dispatches, improving time to repair by up to 25% and accelerating root-cause analysis by 80%.
VodafoneMicrosoft Foundry · Network Operations Agent (NOA) FrameworkNovo Nordisk Scales to 2,500+ Use Cases with Secure Generative AI Using Amazon Bedrock
Novo Nordisk built a self-service generative AI platform on AWS, using Amazon Bedrock's foundation models, so employees could build and customize chatbots for nonregulated business use cases without needing to develop applications or maintain infrastructure themselves. The company worked with AWS Partner Cloud2 Oy (previously KeyCore) to validate the architecture for security and scalability. More than 25,000 Novo Nordisk employees have used the platform to create chatbots for over 2,500 unique use cases, such as retrieving information, drafting documents, or acting as a virtual colleague or critic. The company's general-purpose chatbot is used by more than 1,000 employees and processes over 26,000 prompts a month; its largest use case was trained on 140,000 documents. Each use case costs around $10 per month to run on AWS, using serverless services including Amazon DynamoDB and AWS Lambda. Building a chatbot now takes days rather than months, and some tasks that took a full day can be completed in as little as 10 minutes.
Novo Nordisk· DenmarkAmazon Bedrock · AWS Lambda · Amazon DynamoDBSpeed, Scale, and Smarter Care: RaySearch Delivers AI-Powered Oncology Breakthroughs
RaySearch Laboratories uses NVIDIA CUDA and TensorRT technologies across its RayStation radiotherapy planning system to accelerate image registration, dose calculations, and AI-driven deep learning segmentation for cancer treatment planning. GPU acceleration enables dose calculations up to 20x faster and full plan optimization in minutes. Iridium Network, Belgium's largest radiotherapy provider, reduced time spent on image segmentation and treatment planning by 44% and 47% respectively after implementing AI-driven automation. In 2024, over 200,000 patients benefited from automated image segmentation using this technology.
RaySearch Laboratories / Iridium Network· BelgiumNVIDIA CUDA · NVIDIA TensorRT · NVIDIA RTX PRO GPUs +1ElevenLabs: Scaling Voice AI with GPU-Accelerated Infrastructure
ElevenLabs runs its voice AI platform for text-to-speech, voice cloning and speech-to-speech translation on Google Kubernetes Engine (GKE) with NVIDIA GPUs, using GPU optimization strategies such as Multi-Instance GPUs and GPU time sharing to improve utilization and reduce costs. The platform generates 600 hours of audio for every hour of real time, supports 29 languages (expanding to 40), and is reportedly used by 41% of Fortune 500 companies, powering products including AI Dubbing Studio, long-form audio for audiobooks and podcasts, article narration for outlets like The New York Times, and real-time conversational AI assistants.
ElevenLabsGoogle Kubernetes Engine (GKE) · NVIDIA H100 GPUs · Multi-Instance GPUs (MIG) +1Building the foundation for the 5G revolution: Digital Nasional Berhad
Digital Nasional Berhad (DNB), Malaysia's government-established 5G network operator, used the Databricks Data + AI Platform to build a cost-effective, high-performance data platform to process 5G network data at scale, achieving 82%+ populated-area coverage in two years. Using Delta Lake with a medallion (Bronze/Silver/Gold) architecture, Databricks Workflows for pipeline orchestration, serverless compute, Notebooks for team collaboration, Unity Catalog for governance, and MLflow for ML lifecycle management, DNB achieved 70% cost optimization and a 60-70% increase in data pipeline performance, and has begun building AI-powered chatbots giving network engineers real-time access to performance insights with geospatial visualizations.
Checkr: Streamlining Background Check Classification with Fine-tuned Small Language Models
Checkr automated adjudication of background checks using a tuned logistic regression model for 98% of cases, but the remaining 2% required classifying noisy records into 230 categories. After testing GPT-4 (80-82% accuracy on hard cases, ~15s latency, ~$12k cost) and GPT-4 with RAG, Checkr fine-tuned Llama-2-7b (85% accuracy) and then, in production on Predibase, Llama-3-8b-instruct, achieving 90% accuracy on the hardest 2% of cases with 0.15-second response times (30x faster than GPT-4) and a 5x cost reduction, using LoRA/LoRAX for parameter-efficient fine-tuning and multi-adapter serving.
CheckrLlama-2-7b · Llama-3-8b-instruct · LoRA +3Working toward zero-defect production: AI in Manufacturing at Bosch
Bosch developed an in-house AI Analytics Solution now in use on over 1,400 production lines worldwide, analyzing data from highly automated, sensor-connected manufacturing to find causes of quality problems in real time. At the Bamberg, Germany plant, the platform reads and analyzes about 1 billion lines of sensor and quality data per day, processing roughly 1 million data messages every 24 hours from assembly and test lines, to flag anomalies and support zero-defect production. Bosch is working to deploy the platform across all 240 of its manufacturing sites.
Robert Bosch GmbHAI Analytics Platform · Data Mining · Sensor Data VisualizationUsing Amazon Bedrock Agents to Accelerate Decisions Across Drug Development at AstraZeneca
AstraZeneca built Development Assistant, a multi-agent AI tool using Amazon Bedrock Agents, that lets clinical, regulatory, safety and quality teams ask natural language questions and get insights from structured and unstructured data in seconds via text-to-SQL generation and retrieval-augmented generation. A supervisor agent routes queries to specialized subagents (terminology, clinical, regulatory, database). Built on AstraZeneca's Drug Development Data Platform (3DP), the tool moved from concept to production in 6 months, including cybersecurity and AI governance checks, and is scaling to over 1,000 users.
AstraZenecaAmazon Bedrock Agents · Amazon Bedrock · Text-to-SQLUniversity of Michigan Offers Several AI Services to Staff and Students
In August 2023 the University of Michigan launched UM-GPT, becoming (per the source) the first higher education institution to offer AI services at scale, providing secure access to commercially available large language models through the university's private Microsoft Azure environment. Michigan has since launched U-M Maizey, a codeless platform for building custom AI experiences from uploaded data sets using retrieval-augmented generation, with more than 3,500 Maizey instances in production across academic and operational departments, and Go Blue, a mobile AI assistant for campus life. To avoid vendor lock-in, Michigan runs AI workloads across multiple environments including on-premises infrastructure, letting users pick their LLM via a dropdown.
University of MichiganMicrosoft Azure · Retrieval-Augmented Generation (RAG)Toyota shifts into overdrive: Developing an AI platform for enhanced manufacturing efficiency
Toyota's Production Digital Transformation Office built an in-house AI Platform on a Google Cloud hybrid architecture that lets factory floor employees create machine learning models without AI expertise, automating manual, labor-intensive tasks. Built by a six-person team in about 1.5 years, the platform runs at all 10 Toyota car and unit manufacturing factories; the number of models created rose from 8,000 in 2023 to 10,000 in 2024, saving over 10,000 man-hours per year, with nearly 1,200 active users and 400+ trained annually.
Toyota Motor CorporationGoogle Cloud · Google Kubernetes Engine (GKE) · GKE Enterprise +6E.ON Powers Better Decision-Making with Databricks Apps
E.ON, one of Europe's largest energy companies, used Databricks Apps to deploy internal BI applications in one to two minutes. E.ON is working on analyzing 500-600 public ChargePoint operator contracts using a GenAI-powered chatbot that extracts contract details such as pricing and tariffs via natural language queries. Interactive dashboards built with Databricks Apps give E.ON's health and safety team real-time incident data and insights, including maps of incident locations and weather conditions, to identify patterns and mitigate risk in high-voltage field work. 1,500 employees now rely on Databricks for BI dashboards and insights.
Team Liquid uses SAP Business AI to optimize esports draft strategy
Esports organization Team Liquid worked with SAP to build an AI draft bot using SAP AI Core to train a generative AI model on data from more than 6,000 professional League of Legends matches and 1.6 million amateur matches, stored in SAP HANA Cloud and running on SAP Business Technology Platform. The tool visualizes win-probability predictions after each pick and ban during the champion draft process, replacing manual analysis and saving Team Liquid approximately 10,000 hours per year.
Team LiquidSAP AI Core · SAP HANA Cloud · SAP Business Technology Platform (SAP BTP)NewDay lifts generative AI agent-assist accuracy from 60% to over 90%
NewDay, whose contact centre handles 2.5 million calls a year, built NewAssist, a generative AI assistant on Amazon Bedrock using Retrieval Augmented Generation, out of an internal hackathon. Through iterative experiments — including a custom parser for its knowledge base and injecting internal acronyms into prompts — NewDay raised NewAssist's accuracy from below 60% to over 90%, cut the average time to retrieve an answer from 90 seconds to 4 seconds, and rolled it out to over 150 agents, running on serverless AWS infrastructure for under $400 a month.
NewDay· United KingdomAmazon Bedrock · AWS Fargate · AWS Lambda +8Banco Bradesco Streamlines Customer Service with Azure AI Foundry, Apps, and Databases
Banco Bradesco, co-developing with Microsoft and Avanade, built Bridge, a multi-agent, technology-agnostic generative AI platform based on Azure OpenAI in Foundry Models, with governance standardized through Azure Red Hat OpenShift and Azure API Management for deployment and scaling. Bridge powers BIA for Customers and BIA Corporate virtual assistants across phone, chat and WhatsApp for roughly 74 million customers. Results include an 83% resolution rate for digital customer service, 80% for employee queries, 89% request retention, a more than 30% reduction in technology costs, product launches up to 10x faster, an 8x productivity increase in managerial efficiency, and a 65% efficiency gain in audit planning. Azure Cosmos DB processes more than two million requests and two billion inference tokens daily. The bank runs 10 large language models and at least 20 use cases in production, including MentorIA, which automates analysis of more than 18,000 collections calls per day.
Banco Bradesco SA· BrazilAzure OpenAI in Foundry Models · Azure AI Foundry · Azure Cosmos DB +8SPAR ICS Enhances Shopping and Optimizes Supply Chain with Cloud for Retail
SPAR ICS, the independent IT unit of SPAR Austria Group, used Microsoft Cloud for Retail to build the SPAR shopping app and created an award-winning AI-enabled demand forecasting system with Azure Synapse Analytics, now moving to Microsoft Fabric. The new system helps SPAR Austria Group optimize its supply chain, achieving 90 percent inventory prediction accuracy. Future plans include using Copilot for Microsoft 365 to enhance employee productivity.
RTLZWEI Hones Competitive Edge with Red Hat OpenShift AI
RTLZWEI, a German broadcaster and digital media company, modernized its on-premise core system BOBY by deploying Red Hat OpenShift Platform Plus and Red Hat OpenShift AI, with guidance from Red Hat Consulting and Red Hat Training. A proof of concept integrated NVIDIA H100 GPUs with Red Hat OpenShift AI, using Whisper on vLLM to speed up video transcription for subtitles, dubbing and accessibility. By fine-tuning the transcription model with its own data, RTLZWEI reduced the word error rate by 33%. The platform also hosts LLMs for data science experiments, forecasting and fine-tuning, running on-premise to meet data sovereignty and cybersecurity requirements.
RTLZWEI· GermanyRed Hat OpenShift Platform Plus · Red Hat OpenShift AI · Red Hat Enterprise Linux +5Zapier Powers Real-Time Customer Experiences with Databricks
Zapier unified its data on the Databricks Platform to enable self-serve, AI-powered analytics across product, marketing, sales and support. Using the Databricks MCP connector built on Unity Catalog, AI agents get governed real-time access to Zapier's data; Vector Search handles over 600k requests per day for semantic search and RAG-based knowledge retrieval; MLflow and Model Serving operationalize ML workflows. Dashboard creation time dropped from 2-3 days to a few hours, and the share of data queries executed via AI-assisted workflows grew from 0% to roughly 75% within 6-9 months.
ZapierDatabricks Platform · Databricks MCP connector · Unity Catalog +3Figma trains AI Search models in 5 months using Amazon SageMaker AI
Design platform Figma built its AI infrastructure on Amazon SageMaker AI, using Amazon EMR with Apache Spark to process billions of design elements and the custom FigmaStep framework on SageMaker Pipelines to orchestrate training. Figma trained and deployed the models behind its AI Search feature within five months, launching it at Config 2024, and ran more than 10,000 SageMaker AI training jobs in 2025 to support features including the AI prompt-to-app tool Figma Make.
FigmaAmazon SageMaker AI · Amazon SageMaker Model Training · Amazon SageMaker Pipelines +4TK Elevator: Moving Beyond with Data + AI Driven Service Intelligence
TK Elevator (TKE), one of the world's largest providers of elevators, escalators and vertical transportation systems, adopted the Databricks Platform to unify and process more than 500 million IoT telemetry events daily from connected elevators across 30+ countries, moving from reactive to predictive maintenance. TKE's MAX platform generates predictive insights that feed actionable guidance to field technicians via its Digital Operations Center (DOC), which generates 30,000-40,000 tickets annually and has reduced technician troubleshooting time on call-backs and unplanned shutdowns by up to 20%. The platform scaled from 3 to over 40 markets (10x expansion), cut data pipeline delivery from months to weeks, and reduced data sharing time with internal/external consumers from three months to three days (90% reduction). TKE uses Delta Lake, Delta Sharing, Lakeflow, Unity Catalog, Databricks Assistant, MLflow, AI Gateway, Vector Search and Model Serving, and is exploring agentic AI to combine technical, service and commercial context in real time.
TK ElevatorDelta Lake · Delta Sharing · Lakeflow +6Lotte Hotels & Resorts builds a hyper-automated work culture with Microsoft Power Platform
Lotte Hotels & Resorts deployed Microsoft Power Platform, including Power Automate and Power Apps, with partners Lotte Data Communication and DEX Consulting, letting non-developer 'citizen developer' employees automate tasks after an eight-week training program. RPA applied to database refinement allowed over 50,000 pieces of data to be processed automatically that previously took 25 people nearly a month, and reservation automation across 17 hotel properties reduced 10,000 work hours per year.
Lotte Hotels & Resorts· KoreaMicrosoft Power Platform (Power Automate, Power Apps, Power Pages, Microsoft Teams, Azure AI Studio)How Mapfre Insurance modernized fraud claims with Amazon EMR Serverless
Mapfre Insurance, the number one auto and home insurer in Massachusetts, modernized fraud detection by combining graph-based features from Neo4j with machine learning models deployed on AWS, using Amazon EMR Serverless, Apache Iceberg tables on Amazon S3, AWS Glue Data Catalog, AWS Lake Formation, and Amazon MWAA for orchestration. Fraud predictions integrate directly with Guidewire Claims via AWS Lambda, automatically creating claim activities showing the top model drivers for adjusters. The initiative, covering Massachusetts Auto insurance and later expanded to Home insurance, has delivered more than $5 million in Net Present Value, with detection accuracy improved 50-135 percent compared to baseline methods.
Mapfre Insurance· United StatesAmazon EMR Serverless · Apache Iceberg · AWS Glue Data Catalog +5Guthrie Clinic cuts patient falls with injuries by 70% using AI on Dell infrastructure
The Guthrie Clinic, serving rural communities across 11,000 square miles of New York and Pennsylvania, built an IT foundation on the Dell AI Factory with NVIDIA, including Dell PowerEdge servers and Dell AI PCs. Using the Artisight AI platform running on Dell PowerEdge servers with NVIDIA GPUs to monitor patient movement and deliver fall-risk assessments, Guthrie reduced patient falls with injuries by nearly 70%, cut ICU stays by half a day, shortened emergency room time by more than 80 minutes, and achieved $7 million in operational cost savings in 2023.
The Guthrie Clinic· United StatesDell AI Factory with NVIDIA · Dell PowerEdge servers · Dell AI PCs +2Foxconn deploys NVIDIA-powered agentic and physical AI across Taiwan's medical centers under Healthy Taiwan initiative
Foxconn's CoDoctor AI platform, with new AI agents including an ECG AI Agent, Corovia AI Agent and Endovia AI Agent, and Nurabot nursing collaborative robots powered by NVIDIA NemoClaw, have moved from pilot programs into clinical operations across Taiwan's major medical centers. This is part of the government-backed $1.5 billion Healthy Taiwan initiative, with a majority of Taiwan's medical centers already using AI for over 14 million patient encounters annually.
Foxconn· TaiwanNVIDIA NemoClaw · NVIDIA Nemotron · NVIDIA OpenShell +2FactSet cuts code-generation response time 70% with a standardized Databricks LLMOps framework
FactSet, a financial data and analytics provider, standardized its GenAI development on Databricks Mosaic AI and managed MLflow after fragmented tooling across teams caused collaboration and governance problems. For its FactSet Mercury code-generation feature, FactSet fine-tuned meta-llama-3-70b and Databricks DBRX models, reducing average response latency by more than 70%. Its Text-to-Formula project reduced end-to-end latency by about 60% using a compound AI architecture with fine-tuned open-source models.
FactSetDatabricks Mosaic AI · Databricks-managed MLflow · Unity Catalog +3Nasdaq improves generative AI response times 30% with NVIDIA NeMo Retriever and NIM
Nasdaq built a generative AI platform for internal chatbots and search, running NVIDIA NeMo Retriever and NVIDIA NIM microservices as part of NVIDIA AI Enterprise. After running four global hackathons to prototype AI applications, Nasdaq deployed self-hosted GPU embeddings on NVIDIA L40 GPUs, achieving 30% faster response times and 30% improved chatbot accuracy while reducing embedding costs.
NasdaqNVIDIA NeMo Retriever · NVIDIA NIM · NVIDIA AI Enterprise +1Techcombank: Ushering Personalized Banking for Millions of Customers
Techcombank, Vietnam's largest private financial institution with 315 branches serving over 15.3 million customers, adopted the Databricks Data + AI Platform to unify data from disparate on-premises databases and a legacy data warehouse. Central to the initiative is 'Customer Brain,' a customer-360 tool centralizing customer data for targeted marketing, and the Lead Allocation Curated Engine (LACE), which uses AI insights to prioritize and assign sales leads. Techcombank built machine learning models for fraud detection and credit risk management, using an enterprise feature store with over 7,500 features and more than 100 ML risk models to manage a credit lifecycle handling a twentyfold increase in retail credit applications. MLOps on Databricks with MLflow cut model implementation from months to weeks. The bank is developing an internal RAG-based chatbot, Smartie, built on Databricks AI Search, and piloting AI/BI Genie for natural-language data queries. The platform has over 1,000 active users bank-wide.
Supermetrics: Helping Marketers Redefine Efficiency with AI-Powered Data Analysis
Supermetrics, a Finland-based marketing intelligence platform serving 15,000+ customers across 132 countries, built an AI agent on Google Cloud using Vertex AI Agent Builder and the Agent Development Kit (ADK) that autonomously manages data connections, fixes pipeline errors, and analyzes campaign performance in real time, suggesting new creative options using Imagen. The agent automates the weekly marketing reporting cycle that previously took performance marketers up to four hours, reclaiming over 15 hours per month per marketer for strategy and creative testing. The system uses a central AI agent that interprets natural language requests and delegates tasks to sub-agents, and stores 'core memories' of user preferences for personalized context.
Supermetrics· FinlandGoogle Cloud · Vertex AI Agent Builder · Agent Development Kit (ADK) +1TMAP Mobility Powers Smarter, Safer Travel
TMAP Mobility, Korea's leading mobile navigation service with over 25 million subscribers and adoption in more than 95% of domestic vehicles, adopted the Databricks Platform to address data access and governance roadblocks that stalled AI-driven personalization efforts. Using Genie Space, non-data specialists can now explore and analyze data with natural language, and Unity Catalog provides granular permission management and column masking. As of September 2025, the analytics team receives 68% fewer simple data extraction requests, and approximately 48% of all employees can directly explore and utilize data. TMAP processes more than 7.3 billion mobility data points annually and used the Recommendation Engines Solution Accelerator to prototype and deploy scalable recommendation models faster.
TMAP Mobility· South KoreaDatabricks Platform · Genie Space · Unity Catalog +3Schaeffler Group: Transforming Production With Digital Twins and Physical AI
Schaeffler Group built a digital twin platform using NVIDIA Omniverse and OpenUSD to plan, simulate and optimize plants, machines and workflows across its global manufacturing operations, in collaboration with NVIDIA and robotics partner Wandelbots. The platform reduced commissioning times through virtual commissioning and facility layout planning, and cut robotic task development time from hundreds of hours to half a day using AI-driven simulation and training. At its Germany inverter assembly line, Schaeffler achieved reliable robotics performance after 24 hours of training and, with Wandelbots' virtual controller and reinforcement learning, refined robotic movements to within 5-6 centimeters for gearbox assembly tasks. Pilot projects are underway in China and Germany, including e-motor assembly and Vehicle Lifetime Solutions warehouses, with plans to integrate digital twins into more than half of Schaeffler's 100+ global manufacturing sites by 2030.
ArcelorMittal Enhances Steel Production Through Digital Innovation
ArcelorMittal partnered with IBM Consulting and Infosys to modernize operations through AI, cloud technology and SAP S/4HANA migration. At ArcelorMittal Eisenhüttenstadt, machine learning was introduced to predict and prevent surface defects on automotive steel sheets. At the Hamburg wire rod plant, AI optimized the trimming process by analyzing historical production data to determine optimal cutting points, reducing trim scrap by 20% and contributing to energy savings and lower CO2 emissions. ArcelorMittal also deployed a bio-inspired Ant Colony Optimization algorithm to calculate optimal production schedules, reducing downtime and material waste. At AM/NS India, IBM Consulting used IBM Rapid Move for SAP S/4HANA to migrate data and applications from outdated platforms to a single SAP instance across locations in Dubai, Indonesia and India.
Rabobank Streamlines and Personalizes Customer Support with AI Powered Virtual Agents
Rabobank, a multinational banking institution headquartered in the Netherlands, reconstructed its virtual agent solution using Microsoft Power Virtual Agents, replacing a disconnected on-premises IVR and chatbot setup with one conversational platform for voice and chat. Virtual agents now complete about 40 to 50 percent of the business contacts they start without escalation to a human agent, meaning about 60,000 to 80,000 calls per month are handled entirely through automation. Online chat as first point of contact rose from about 20 percent to 25 percent of customers between early and May 2022. Reporting is unified via Microsoft Power BI. Implementation began December 2021 with the first virtual agent deployed to production in April 2022, with help from Microsoft partners Avanade and Accenture.
Rabobank· NetherlandsMicrosoft Power Virtual Agents · Microsoft Power BIHow Thomson Reuters Turbocharged .NET Modernization with AWS Transform
Thomson Reuters used AWS Transform, an agentic AI tool for modernizing .NET applications at scale, to replace manual upgrades of legacy .NET Framework applications. AI-powered agents handled asset discovery, codebase analysis, planning, code refactoring and execution. The company modernized 1.5 million lines of code per month, a 4x boost in velocity, moved from Windows to Linux for 30% lower costs, cut application transformation time from months to a two-week sprint, and reduced technical debt by 50% by moving from .NET Framework to cross-platform .NET. AWS Transform also uncovered and fixed security vulnerabilities caused by unsupported language versions and platforms.
Thomson ReutersAWS TransformABN AMRO Bank migrates to Microsoft Copilot Studio to support over 3.5 million customer conversations
ABN AMRO Bank, the third-largest bank in the Netherlands, transitioned its customer-facing 'Anna' chatbot and employee-facing 'Abby' chatbot to Microsoft Copilot Studio after a competitive RFP process, completing migration in 6 months with partner Capgemini. The Anna agent now supports over 2 million text conversations and 1.5 million voice conversations per year, and integrating Azure AI Conversational Language Understanding with Copilot Studio increased intent-recognition accuracy by 7% for Dutch.
ABN AMRO Bank· NetherlandsMicrosoft Copilot Studio, Azure AI Conversational Language Understanding, Azure Communication Services, Azure middleware, Azure DevOps and Power Platform Build ToolsDeutsche Telekom and NVIDIA launch sovereign Industrial AI Cloud for German manufacturers
Deutsche Telekom and NVIDIA unveiled the Industrial AI Cloud, a sovereign, enterprise-grade AI platform built in German data centers with up to 10,000 NVIDIA GPUs (including DGX B200 systems and RTX PRO Servers), NVIDIA AI Enterprise and NVIDIA Omniverse, going live in early 2026. Siemens will use the platform to accelerate industrial AI adoption; Mercedes-Benz and BMW will run AI-driven digital twin simulations for vehicle development; Agile Robots will train and validate robotic foundation models; and Wandelbots NOVA will run digital-twin-based testing and deployment on factory floors.
Deutsche Telekom· GermanyNVIDIA DGX B200 systems, RTX PRO Servers, NVIDIA AI Enterprise and NVIDIA Omniverse, powered by up to 10,000 NVIDIA GPUs in German data centersColas uses AI on unified Databricks data platform to assess road maintenance needs from video footage
Colas Group worked with Databricks and OpenValue to unify data from hundreds of subsidiaries across 50 countries onto a single cloud platform combining Databricks, Microsoft Azure and open source technologies. Beyond helping reduce energy consumption and optimize industrial equipment efficiency, Colas is piloting a tool that uses AI to assess video footage of roads and determine maintenance requirements.
Colas GroupDatabricks Lakehouse platform combined with Microsoft Azure and open source technologies, including Databricks Notebooks and SchedulerBMW uses NVIDIA Omniverse Enterprise and Isaac Sim to build digital twins of its factories
BMW, which produces 2.5 million cars a year with 99 percent of them customized before purchase, uses NVIDIA Omniverse Enterprise to simulate its factories in real time as a photorealistic digital twin, connecting applications like Bentley Microstation and Autodesk Revit. BMW also employs NVIDIA Isaac Sim to train delivery robots using synthetic data generation with domain randomization, and NVIDIA Fleet Command to orchestrate robots and machines across its production network.
BMW· GermanyNVIDIA Omniverse Enterprise · NVIDIA Isaac Sim · NVIDIA Fleet Command +3Zoho Corporation scales agentic AI adoption on Dell AI Factory with NVIDIA
Zoho uses the Dell AI Factory with NVIDIA, featuring Dell PowerEdge XE-Series servers with NVIDIA accelerated computing, NVIDIA NeMo and NVIDIA Quantum InfiniBand switches, to train and deploy AI solutions with Dell ProSupport providing infrastructure management. Zoho delivers AI solutions such as conversational AI, Zia Agents, Agent Studio and Zia LLM to 130 million+ users across 150+ markets.
Zoho Corporation· IndiaDell PowerEdge XE-Series · NVIDIA NeMo · NVIDIA Quantum InfiniBand +1LSEG unifies 30 data systems, reducing product development time with Fabric
LSEG, a trusted data partner to 44,000 customers in more than 170 countries, partnered with Microsoft to build a unified data platform on Microsoft Fabric, consolidating 30 systems, 1,200 datasets and 33 petabytes of data. Using Apache Spark on Fabric, Apache Airflow in Fabric, Microsoft Purview and OneLake, LSEG reduced product development timelines for new data products from years to months; onboarding data and creating a new product now happens in months, accelerating launches such as its ESG and Fundamentals data products. LSEG processes around 80,000 files daily on Spark on Fabric, consuming approximately 280,000 capacity units per day, with month-on-month consumption growing more than 50%. The company is also building AI-readiness by hosting Model Context Protocol (MCP)-powered data in OneLake and enabling financial professionals to build custom AI agents via Copilot Studio.
LSEG (London Stock Exchange Group)· United KingdomMicrosoft Fabric · Apache Spark · Apache Airflow +4AIBots: GovTech Singapore's platform for public officers to build RAG-powered AI chatbots
GovTech Singapore built AIBots, a platform that lets Singapore Public Officers create, customise, and deploy Retrieval-Augmented Generation (RAG) generative AI chatbots in under 15 minutes, enhancing responses by integrating internal agency knowledge bases (including content classified up to Restricted/Sensitive Normal) alongside publicly available information. Officers have used it for talking-points and speech generation, Q&A chatbots on internal HR, travel and onboarding processes, and survey verbatim analysis. Between August 2024 and February 2025, AIBots reached 40,000 users across 115 government agencies, with 12,000 bots created and over 1 million messages sent.
How Getnet improved CSAT to over 85% in under a year
Getnet, a global digital and physical payment solutions provider and part of Santander's PagoNxt payment hub, worked with partner A5 Solutions to deploy LivePerson's Conversational Cloud platform, shifting customer service from voice to WhatsApp and other digital channels. The rollout included a virtual assistant available 24/7, bot parking for inactive conversations, AI-generated conversation summaries for agents, secure-form-based identity verification, and LivePerson's Intent Manager to analyze customer intent and improve service-bot menu performance. The migration from Getnet's previous platform took just 20 days. Within 11 months, digital channels grew to 74% of support conversations (up from a smaller share, with voice dropping to 26%), CSAT rose from 45.91 to the mid-80s (an increase of over 85%), and NPS rose by 78 points on average across support menus that had previously been negative. As of July 2024, 17 bot automations supported 84 service groups and 300 human agents.
GetnetLivePerson Conversational Cloud · LivePerson Intent Manager · WhatsApp
ID Logistics' SmartVision delivers 80% error reduction in warehouse order picking
ID Logistics launched SmartVision, an AI solution using stereovision cameras to interpret real-time data and monitor parcel preparation by warehouse operators. The system reduces picking error rates by 80% by continuously recording actions on the trolley and validating the number of parcels deposited in real time; recorded images also serve as verification for complaints. Team leaders get real-time visibility into quality rate, remaining volume, and palletizing conformity. The solution was first deployed at a food distribution site north of Paris, with plans to extend to retail sites in France and internationally.
Levi Strauss & Co. builds a Super Agent with Microsoft Foundry
Levi Strauss & Co. uses Microsoft Foundry and GitHub Copilot to build purpose-driven AI agents that connect to enterprise systems such as SAP, HR platforms and retail systems, orchestrated through a planned unified 'Super Agent' experience inside Microsoft Teams. The company first rolled out Microsoft 365 Copilot enterprise-wide, then used Foundry as an orchestration layer with Azure Functions for backend execution, aiming to let employees get answers and complete tasks like checking inventory or initiating HR requests through a single natural-language interface.
Levi Strauss & Co.· United StatesMicrosoft Foundry · GitHub Copilot · Azure Functions +3Val Verde Unified School District uses Microsoft Copilot to speed up IT and business operations
Val Verde Unified School District, a Southern California district of 19,000 students, piloted Microsoft Copilot and ChatGPT across administrative and business departments after its Board of Education directed staff to test generative AI. Director of Information and Instructional Technology Matt Penner used Copilot as a code assistant to fine-tune a custom state-reporting application that integrates data from the student information system, finishing the task in five hours instead of ten. About 150 employees were testing the AI tools, including HR staff improving job interview questions and staff summarizing hundreds of unopened emails into a manageable list.
Ørsted uses drones and Cognite Data Fusion for data-driven turbine maintenance
Offshore wind operator Ørsted uses drones to fly inside monopile wind turbines and collect images and sensor data, which is organized in Cognite Data Fusion, powered by Microsoft Azure, to run computer vision models that track corrosion and cracks. The data-driven approach lets Ørsted reduce the number of technicians needed for inspection from four to two and eliminates the need to physically enter confined turbine spaces, improving safety while reducing maintenance cost and downtime.
ØrstedCognite Data Fusion · Microsoft Azure
Franklin Templeton scales investment insight with Databricks Agent Bricks
Franklin Templeton built the internal SIGNALS application on Databricks Agent Bricks, combining proprietary fund scoring models with unstructured documents like prospectuses and fact sheets in Unity Catalog to generate AI-powered portfolio commentary. Analysts save 2+ hours per week, field teams surfaced $15 million in new product opportunities during early rollout, and AI-powered commentary coverage expanded from 200 products to hundreds.
Franklin TempletonDatabricks Agent Bricks · Unity Catalog · Databricks lakehouseUnilever scales AI across a 100% cloud-based operating model
Unilever's Chief Enterprise Technology Officer Steve McCrystal describes how the company has implemented more than 500 AI-based capabilities across the globe over the past decade, run on a fully cloud-based digital infrastructure that handles 8 petabytes of data across 25,000 daily data pipelines and 240TB of network traffic a week for over 3 billion transactions. Unilever has trained 23,000 employees in AI usage, opened an AI research hub in Toronto, and uses AI to help connect consumer demand, product development, planning, suppliers, logistics and manufacturing, achieving cost savings in its supply chain, governed by its Responsible AI framework.
UnileverIntegrated Operations (iOps) programme · Responsible AI frameworkIsrael's Meteorological Service Predicts the Weather Using NVIDIA Earth-2
The Israel Meteorological Service integrated an AI weather model called F3, powered by NVIDIA Earth-2 and NVIDIA PhysicsNeMo (including the CorrDiff neural network), into its forecasting system to achieve hyperlocal 2.5-kilometer resolution precipitation forecasts. F3 achieved 90 percent lower computational costs compared to running a classic non-AI numerical weather prediction model on a CPU cluster, delivering forecasts in minutes rather than hours, and saved 20-30 percent of the Tel Aviv-Yafo Municipality's preparedness budget for things like urban flood safety. CorrDiff was trained to emulate IMS's regional high-resolution ICON model using low-resolution ECMWF IFS input, enabling four high-resolution forecasts per day. Partners including the Israeli Police, the National Fire and Rescue Authority, the Ministry of Transportation and the National Road Company have adopted the forecasts, and IMS used F3 to issue a high-resolution flood map during a January storm that dropped 150 millimeters of rain in six hours.
Israel Meteorological Service (IMS)· IsraelNVIDIA Earth-2 · NVIDIA PhysicsNeMo · CorrDiffHP uses Databricks AI/BI Genie to enable self-serve analytics across the enterprise
HP's Analytics and Insights, product management and Digital GTM teams adopted Databricks AI/BI Genie to let business users ask natural-language questions of billions of telemetry events instead of waiting on engineers to build dashboards or write SQL, improving efficiency in analyzing product, sales and customer patterns by 40-50% and empowering thousands of users with self-service analytics, governed by Unity Catalog role-based access control.
From high costs to near real-time insights with Zerobus Ingest
Beusa Energy, a 30-year energy sector company spanning electric hydraulic fracturing, mobile power generation, electrical distribution, field gas processing and industrial manufacturing, migrated its high-frequency telemetry ingestion from a custom SQL Statement API pipeline to Databricks' Zerobus Ingest direct-write API. The migration required only swapping the write path (same .NET worker, same MQTT subscriptions), cutting ingestion cost from roughly 689 DBU per GB to about 0.29 DBU per GB, a 99% cost reduction, while eliminating the need for a separate streaming broker tier. Today more than 6,000 devices stream telemetry at 1 Hz across about 250 remote assets, ingesting ~22 million rows daily into a unified lakehouse with end-to-end latency of about three seconds, governed by Unity Catalog. Beusa is now using this high-frequency telemetry, combined with maintenance history, to train predictive-maintenance models forecasting remaining useful life of assets, moving from condition-based to predictive and eventually prescriptive maintenance.
Schaeffler unlocks factory insights with Microsoft Cloud for Manufacturing
Schaeffler, a global motion technology company with 10,000+ employees in Germany, worked with partner Avanade to pilot data solutions in Microsoft Fabric and a generative AI agent in Azure AI, part of Microsoft Cloud for Manufacturing, to unlock intelligence across diverse IT/OT systems (including ERP, SCM and MES) across a solution designed to scale to over 100 plants. Employees now ask the agent natural-language questions and get near real-time insights such as scrap rates, yields and energy usage; for example, asking what caused downtime on a line yields an instant detailed response instead of engineers spending hours investigating.
Amdocs Builds Generative AI Agents for Telecom
Amdocs built amAIz, a domain-specific generative AI platform helping telecom companies transform customer experiences, automate processes and optimize decision-making, using NVIDIA DGX Cloud, NVIDIA AI Enterprise software, NVIDIA NIM inference microservices, and NVIDIA Nemotron open-source reasoning models. amAIz agents, enhanced with NVIDIA's Llama Nemotron, autonomously handle complex multistep customer journeys spanning sales, billing and care. Using NVIDIA NIM microservices and telecom-based retrieval-augmented generation, Amdocs reduced tokens consumed by as much as 60 percent for data preprocessing and up to 40 percent for inferencing, and reduced query latency by approximately 80 percent.
AmdocsNVIDIA DGX Cloud · NVIDIA AI Enterprise · NVIDIA NIM +2Fifth Dimension unlocks insights and intelligence with Google Cloud
Fifth Dimension, founded in 2023, provides an AI platform combining machine learning, predictive analytics and natural language processing to uncover hidden patterns in real estate data, processing over 1TB of data per month by 2025. Facing scalability and cost problems with its original infrastructure, the company adopted Google Cloud, building its ML stack on Vertex AI (running Google Cloud Gemini and Anthropic Claude models), plus Cloud SQL, Cloud Run and Pub/Sub. This scaled processing capacity 50x to handle document-processing surges, supported 6x global client growth across multiple regions, and decreased infrastructure costs by 30% through serverless architecture. Model deployment time dropped from weeks to days, platform engagement tripled in 2025, and annual recurring revenue grew 6x in the same year.
Accelerating Large Language Model Inference with NVIDIA in the Cloud
Perplexity built pplx-api, an API for developers to integrate open-source LLMs with fast inference, served on Amazon EC2 P4d instances powered by NVIDIA A100 Tensor Core GPUs and accelerated with NVIDIA TensorRT-LLM (with a planned move to Amazon P5 instances with NVIDIA H100 GPUs). pplx-api achieves up to 3.1X lower latency and up to 4.3X lower first-token latency versus other deployment platforms, and switching external inference-serving API references to pplx-api lowered costs 4X, saving $600,000 per year. Using NVIDIA H100 GPUs and FP8 precision on Amazon P5 instances cuts latency in half and boosts throughput by 200 percent versus A100 GPUs in the same configuration. Perplexity also uses AWS's Kubernetes integration to scale elastically beyond hundreds of GPUs.
PerplexityNVIDIA TensorRT-LLM · NVIDIA A100 Tensor Core GPUs · NVIDIA H100 Tensor Core GPUs +2AES accelerates renewable energy adoption with Claude on Google Cloud
AES, a global energy company, built a multi-agent AI system using Claude on Google Cloud to automate internal safety audits of its renewable energy assets. The system uses document processing agents, task breakdown agents, and report generation agents to process hundreds of pages of safety documentation, evaluate compliance, and produce audit reports. Audit reports that previously took up to two weeks to complete (across roughly 1,550 internal audits annually) can now be generated in about an hour, a 99% reduction in time, alongside a 10-20% improvement in audit accuracy and a 99% reduction in audit costs.
AESClaude · Google CloudLippert Improves Customer Support with GenAI
Lippert, a $3.8 billion global manufacturer of components for RV, marine and automotive brands, used Databricks and Agent Bricks to consolidate fragmented data into a single lakehouse and deploy AI agents for customer support. An AI assistant trained on product manuals, technical case history and field-expert videos surfaces troubleshooting guidance for call center agents in real time, cutting new-agent ramp time from six months to four weeks (an 85% reduction). Using Agent Bricks' evaluation framework and synthetic data, model accuracy for the support agent improved from 33% to 84% within weeks. AI also analyzes thousands of support calls daily for coaching and quality scoring (versus a prior manual sample of 100 calls/month) and automates call summarization into Salesforce. The initiative is expected to save millions per year and reclaim hundreds of thousands of hours, with new agents planned for HR, warranty and supply chain.
HARTING reduces design time from weeks to minutes with Siemens and Azure AI
HARTING, a German maker of industrial connectors with more than 27,000 product options, built an AI-guided Han® Configurator powered by Microsoft Azure OpenAI Service and Microsoft Cloud for Manufacturing that lets customers describe requirements in natural language and get guided to the right product in about one minute, down from 15-20 minutes. For custom designs, a companion tool built by HARTING's Innovation Hub interoperates with Siemens' NX and Simcenter (part of Siemens Xcelerator) to refine 2D layouts, generate 3D models and run basic thermal FEM simulations, cutting custom prototype creation from weeks to minutes.
HARTING· GermanyAzure OpenAI Service · Microsoft Cloud for Manufacturing · Siemens NX +2F.02 Contributed to the Production of 30,000 Cars at BMW
Figure deployed its Figure 02 humanoid robot at BMW Group Plant Spartanburg for an 11-month trial performing sheet-metal loading on an active assembly line, running 10-hour shifts Monday-Friday. Over the deployment, the robot loaded 90,000+ parts, logged 1,250+ hours of runtime, and contributed to the production of 30,000+ X3 vehicles, with a target cycle time of 84 seconds and placement accuracy goal of 99% per shift.
BMW Group (Plant Spartanburg)Figure 02 humanoid robotAlbert Heijn revolutionizes the store employee experience using Azure OpenAI
Albert Heijn, one of the largest supermarket chains in the Netherlands with over 700 owned stores and more than 80,000 store employees, built a conversational assistant within its @AH Employee App using Azure OpenAI, hosted on Azure Kubernetes Service with data stored in Azure Database for PostgreSQL. Developed with Microsoft and partner EPAM, the assistant answers store employees' questions about restocking and customer requests, including a barcode scanner and store floorplan. It has been piloted in eight stores with plans to scale to 25 stores in summer 2025 and eventually all 700 owned stores.
Koninklijke Ahold Delhaize (Albert Heijn)· NetherlandsAzure OpenAI · Azure Kubernetes Service · Azure Database for PostgreSQLForcura Expedites Patient Care Using Generative AI on Amazon Bedrock
Forcura, a HITRUST-certified healthcare workflow management company serving over 900 healthcare providers representing about 1 million patients, added a generative-AI referral summary feature to its Referral Management product. Built on Amazon Bedrock using Anthropic's Claude 3 model family, the feature pulls key information such as patient demographics, clinical history and requested services into a concise summary. Forcura piloted the feature with three clients in April 2024 and reached general release within 90 days of the pilot start.
Forcura· United StatesAmazon Bedrock · Anthropic Claude 3 · Amazon S3Workday Accelerates Generative AI / ML Product Development Using Amazon SageMaker
Workday uses Amazon SageMaker to let engineering teams build, train and deploy ML models, including LLMs, across AWS Regions to meet global customers' data-residency requirements. Using Amazon SageMaker Studio, Jumpstart and Ground Truth Plus, Workday piloted a closed-book ML application analyzing job descriptions, invoices and contracts, improving ML inference latency by a factor of five. Workday also received early access to Amazon Bedrock for generative AI prototyping. Head of Workday AI Shane Luke said the company has scaled from a thousand inference requests to tens of millions coming in daily.
WorkdayAmazon SageMaker · Amazon SageMaker Studio · Amazon SageMaker Jumpstart +2Red Hat Helps DenizBank Transform Banking Services Through AI and Machine Learning Innovation
DenizBank, Turkey's fifth largest private bank with nearly 15,000 employees, adopted Red Hat OpenShift AI via its IT subsidiary Intertech to automate and standardize data science pipelines for its 120 data scientists working in risk management, marketing and customer relations. The platform reduced time-to-market for new microservices models from several days to just 10 minutes, enhanced credit qualification prediction models, and improved fraud prevention, while GPU usage was optimized through automatic scaling.
DenizBank· TurkeyRed Hat OpenShift AI · Red Hat OpenShiftHarvard Medical School's Walter Lab runs 1.7 million protein interaction predictions using NVIDIA DGX Cloud
The Walter Lab at Harvard Medical School, with access to NVIDIA DGX Cloud through the National Science Foundation's NAIRR pilot program, completed nearly 1.7 million protein-protein interaction predictions on ColabFold in three months using 32-node DGX clusters with 256 A100 GPUs, a task that previously would have taken years. The team curated 40,000 high-confidence protein interactions among 300 human genome maintenance proteins using two custom ML tools (KIRC and SPOC), publishing results via the Predictomes website.
Harvard Medical School (The Walter Lab)· United StatesNVIDIA DGX Cloud · NVIDIA A100 GPUs · AlphaFold +1DXC Technology cuts platform TCO 30% and builds 11 AI agents using Databricks Data + AI Platform
DXC Technology, a global IT services company with fragmented systems from years of mergers, used the Databricks Data + AI Platform (Delta Lake, Unity Catalog, MLflow 3.0, and the Genie conversational assistant) to unify data across sales, HR, finance and project management. DXC built 11 AI agents (3 in production, 8 in pilot or development), reduced time-to-insight from months to days, and validated a 30% reduction in platform total cost of ownership.
DXC TechnologyDatabricks Data + AI Platform · Delta Lake · Unity Catalog +3Domyn builds Colosseum 355B, a sovereign AI foundation model, using NVIDIA DGX Cloud
Domyn (formerly iGenius), an Italian AI company serving highly regulated sectors such as financial services and public administration, used NVIDIA DGX Cloud with over 3,000 NVIDIA H100 GPUs to continue-pretrain Colosseum 355B, a 355-billion-parameter foundation LLM. Within one week Domyn had access to the dedicated infrastructure, and within two months completed continued pretraining, achieving 82.04% accuracy on the MMLU benchmark. The model powers Domyn's business intelligence agent, Crystal, a sovereign AI solution deployed on private infrastructure.
Nexo uses Agentforce to increase autonomous crypto customer support resolution by 70%
Nexo, a digital assets wealth platform serving over 7 million customers across more than 200 jurisdictions, built an Agentforce service agent to provide 24/7 FAQ support. Since launch, Agentforce has resolved 91,400 chats, a 70% increase in autonomous case resolution, saving Nexo's client care team 2,600 hours of manual work. Data 360 grounds responses in real-time data including LTV ratio tables pulled via a custom API, and Agentforce hands off to a human when a customer asks about a specific transaction to meet compliance requirements.
NexoAgentforce · Data 360 · Sales Cloud +3Rakuten accelerates development with Claude Code
Rakuten, a large Japanese ecommerce company, uses Claude Code to automate coding tasks across its engineering teams, reducing time to market for new features from 24 days to 5 days and achieving 7 hours of sustained autonomous coding on a complex open-source refactoring project. Rakuten also deployed Claude Managed Agents across product, sales, marketing and finance, plugging into Slack and Teams for non-engineers to complete tasks.
Rakuten· JapanClaude Code · Claude Managed AgentsDelhivery achieves 160 ms latency for high-precision geocoding using Amazon EKS
Delhivery, a logistics provider in India, implemented a fine-tuned open-source Llama 3.2 1B large language model on Amazon EKS to support high-volume geocoding of pickup and drop-off addresses. The system processes up to 8,000 requests per minute at 160 milliseconds latency using NVIDIA A10G GPU-backed G5 Xlarge instances and the vLLM framework. Delhivery cut model-serving costs by approximately 80 percent and accelerated prototyping cycles from two days to under six hours, working with the AWS Prototyping and Cloud Engineering (PACE) team.
Delhivery· IndiaLlama 3.2 1B · Amazon Elastic Kubernetes Service · Amazon EC2 G5 Instances +3Robot Retasking in High-Mix Manufacturing with Workr
Workr, a manufacturing AI company, uses NVIDIA Omniverse, Isaac Sim and accelerated computing to let on-site operators retask industrial robots in under five minutes via a tablet interface, eliminating weeks of traditional programming. The edge AI pipeline runs on 2x NVIDIA RTX PRO 6000 Blackwell Max-Q GPUs attached to the robot cell, using models including RAFT-Stereo, Detectron2, NVIDIA Isaac FoundationPose and NVIDIA Isaac cuMotion, trained with synthetic data generated in Isaac Sim digital twins. Deployed with customers Yuasa International and Haas Alfex.
NVIDIA DRIVE AV Software Debuts in All-New Mercedes-Benz CLA
The all-new Mercedes-Benz CLA, the brand's first vehicle featuring the MB.OS platform, introduces advanced driver-assistance features powered by NVIDIA's full-stack DRIVE AV software, AI infrastructure and accelerated compute, enabling enhanced level 2 point-to-point driver assistance including urban navigation, active safety and automated parking. The CLA achieved a five-star EuroNCAP safety rating.
Eczacıbaşı Holding Scales 27 AI Agents Across Affiliates with Microsoft Copilot Studio
Turkish industrial group Eczacıbaşı Holding launched 'Mission AI' to unify fragmented AI efforts across its affiliates, using Microsoft Copilot Studio and Microsoft Foundry. From 358 submitted ideas, 58 were developed with support from partner Mindworks, yielding 27 finalized agents including Sentra, which cut supplier-risk decision cycles from up to two weeks to under three days, and Maden360, which cut mining analytical processing time by over 90%. The 27 agents are projected to generate approximately €3.8 million in annual value and free nearly 5,000 hours of operational capacity per year.
Eczacıbaşı Holding· TürkiyeMicrosoft Copilot Studio · Microsoft Foundry · Azure OpenAI in Foundry ModelsNorwegian municipality Stavanger Kommune makes citizen services more efficient with the power of data and OpenAI Service
Stavanger Kommune, Norway's fourth largest municipality, worked with partner Bouvet to build a program using Azure OpenAI Service to automatically remove sensitive personal information from data and comments citizens submit, a task previously done manually.
Ardian Builds GAIA, an Internal Generative AI Platform for Private Equity Due Diligence
Ardian, a private investment firm managing $192 billion in assets, partnered with Artefact and Mistral to build GAIA, an internal generative AI platform that lets investment teams analyze and extract insights from unstructured due diligence documents, investment memoranda, and financial reports. The model-agnostic platform uses Mistral models particularly for summarization and French-language documents, alongside other AI models, and includes web search and permanent folders for team collaboration. GAIA launched into full production within one year and has been adopted by over 500 weekly active users, processing more than 18,000 documents and generating over 280,000 user requests.
ArdianMistralLaboratoires Pierre Fabre Streamlines Operations with Mistral-Powered Document Processing
Laboratoires Pierre Fabre built a tailored solution on Mistral's models to enhance data processing, analysis, and synthesis, as well as translation and document production, improving efficiency in file treatment, analysis and synthesis tasks, document production prompts, and answering open-ended questions across the dermo-cosmetics and pharmaceutical company's operations.
Laboratoires Pierre FabreMistralBelfius Migrates from Scripted Bot to a Mistral Large-Powered Multilingual Customer Chatbot
Belfius, a leading Northern European digital bank, replaced its pure scripted bot platform with a chatbot built on Mistral Large, offering a personalized experience in Dutch, French, and English. Mistral also supported Belfius's guard-railing strategy with expert support and testing datasets, improving customer interaction efficiency and satisfaction.
BelfiusMistral LargeVeolia Gives 218,000 Employees an AI Co-Pilot for Water, Waste and Energy Plants with Mistral
Veolia integrated Mistral's foundational models with its data and knowledge base to give its 218,000 employees an interactive AI co-pilot for monitoring and managing industrial water, waste, and energy facilities across thousands of sites worldwide, improving access to knowledge, operational transparency, and efficiency.
VeoliaMistral foundational modelsSNCF Deploys Groupe SNCF GPT to 100,000 Employees with Mistral
SNCF Group, a pioneer in AI adoption since 2010, partnered with Mistral to expand generative AI across its operations. The Groupe SNCF GPT has been deployed to over 100,000 employees as a secure AI engine supporting daily tasks, and SNCF developers use Mistral Vibe, Mistral's coding assistant, to enhance software development.
SNCF· FranceMistral · Groupe SNCF GPT · Mistral VibeFrance Travail Uses Mistral LLMs to Support Job Seeker Case Management
France Travail, the French public employment service, uses Mistral large language models to let agents summarize job seekers' histories, profiles, and areas of interest from their data, and leverages an internal retrieval-augmented-generation chatbot that helps agents access and understand labor laws and allocation policies to ensure compliance and efficiency.
France Travail· FranceMistral LLMsJamf Reaches 89% Active Usage in Eight Weeks with Claude Enterprise
Jamf, which manages and secures Apple devices for more than 70,000 customers worldwide, rolled out Claude Enterprise (procured via AWS Marketplace) and Claude on Amazon Bedrock company-wide with a risk-tiered governance framework. Within eight weeks, 89% of licensed employees were actively using it, with 285 documented use cases across all 16 departments (98 fully implemented) and an estimated 838 hours saved per month from HR's 21 implemented use cases alone.
JamfClaude Enterprise · Claude Cowork · Claude on Amazon Bedrock +1Banco Popular Dominicano Multiplies Operational Risk Analysis 7X with AURA on Microsoft Power Platform
Banco Popular Dominicano built AURA, a multi-agent ecosystem on Microsoft Copilot Studio and Power Platform (Power Automate, Power BI, Teams, Excel, SQL, SharePoint) that automates real-time operational risk monitoring, replacing periodic manual sample-based reviews. The bank moved from roughly 40% to 100% operational risk coverage, multiplied analytical capacity sevenfold, cut manual operating load by 70%, reached 98% methodological accuracy, and now processes about 80,000 documents per week and 300+ cases per day.
Banco Popular Dominicano· Dominican RepublicMicrosoft Copilot Studio · Microsoft Power Platform · Power Automate +5J.B. Hunt speeds up freight matching with a Databricks lakehouse on Google Cloud
J.B. Hunt built a unified BI and AI lakehouse platform for its J.B. Hunt 360 digital freight marketplace on Google Cloud using Databricks, Delta Lake and MLflow, paired with Immuta for automated data governance, to process real-time location pings and IoT telemetry from trucks and containers. The platform trains thousands of ML models in under four hours, delivers freight recommendations to carriers 99.8% faster than before, and has produced $2.7 million in IT infrastructure savings.
J.B. HuntDatabricks Lakehouse Platform · Delta Lake · MLflow +2Iveco Group deploys internal generative AI chatbot Chat IVG on Azure OpenAI
Iveco Group, an Italy-headquartered commercial vehicle manufacturer, became the first automotive manufacturer headquartered in Italy to adopt Azure OpenAI Service in production, building an internal chatbot called Chat IVG, available in Microsoft Teams, that answers questions and extracts information from company data and documents. Usage grew from 5 to hundreds of employees by word of mouth, and employees rated it 4.7 out of 5 on Net Promoter Score.
Iveco Group· ItalyAzure OpenAI Service · Microsoft TeamsKPMG deploys tens of thousands of employee-built AI agents on Microsoft's AI stack
Professional services firm KPMG integrated Microsoft 365 Copilot into daily tools for 280,000 professionals and used Copilot Studio and Azure AI Foundry to let employees build their own AI agents and micro-use cases, deploying tens of thousands of them. One onboarding agent that helps new hires find templates and historical context reduced follow-up calls by 20%, and an enterprise-grade ESG agent that automates policy lifecycle management contributed to an 18-month reduction in compliance timelines. Department-level agents include KPMG Clara for audit risk detection and a Digital Gateway for real-time tax regulatory analysis.
KPMG· United StatesMicrosoft 365 Copilot · Microsoft Copilot Studio · Azure AI Foundry +3AGCO scales employee-built AI agents with Microsoft Copilot Studio
Agricultural machinery maker AGCO Corporation used Microsoft Copilot Studio and Microsoft 365 Copilot to let employees become citizen developers building their own AI agents under central governance. After a leadership meeting where about 900 of 2,200 attendees volunteered to become agent 'makers,' the maker community grew to roughly 2,000 employees, producing hundreds of citizen-built and enterprise agents in production, and AGCO cut some quality reviews in its manufacturing workflows from weeks to about an hour.
AGCO Corp· United StatesMicrosoft Copilot Studio · Microsoft 365 CopilotIBM HR scales people analytics with generative BI agents in watsonx BI pilot
IBM's own HR organization piloted watsonx BI, using Generative Business Intelligence agents with a governed semantic layer so business leaders and managers could ask workforce questions in natural language instead of navigating static dashboards. The Q3 2025 pilot achieved an 89.26% accuracy rate on a sample of user-submitted questions and reduced time-to-answer for summary-level talent data from days to minutes.
IBMIBM watsonx BI · IBM CognosSopra Steria builds turnkey virtual assistant on IBM Watson for European public and private clients
European digital transformation firm Sopra Steria evaluated 15 AI virtual assistant solutions and chose IBM watsonx Assistant, IBM Watson Language Translator, Natural Language Understanding, and Text to Speech to build an intelligent virtual assistant accelerator engine now running at 10 production sites across Europe. The first implementation, a central digital billing portal for the French government, handled more than 75,000 conversations and 340,000 requests to watsonx Assistant in its first month, resolving 80% of inquiries without human agents, and later scaled from 450,000 to more than 1.5 million users.
Sopra Steria· FranceIBM watsonx Assistant · IBM Watson Language Translator · IBM Watson Natural Language Understanding +3City of Helsinki pilots watsonx.ai for multilingual customer care chatbot translation
The City of Helsinki collaborated with IBM Client Engineering and IBM Consulting on a Proof of Value testing whether IBM watsonx.ai could translate foreign-language questions into Finnish for its customer care chatbot, which supports Finnish, English, and Swedish. Watsonx.ai scored 0.90 on the COMET machine-translation metric for English-to-Finnish translation (versus 0.91 for the incumbent system) and 0.87 for Swedish-to-Finnish (versus 0.86), performing on par with the city's existing translation solution.
City of Helsinki· FinlandIBM watsonx.aiAthena Intelligence compresses enterprise knowledge work using Claude
Athena Intelligence built an AI-native workspace and autonomous agent platform powered by Claude that serves Fortune 500 enterprises, law firms, financial services organizations, healthcare systems, and government agencies. The platform deploys production enterprise workflows in 4-8 weeks versus a 6-12 month industry standard, runs over 10,000 autonomous workflows weekly, and at an AmLaw 100 law firm fully automated the generation and distribution of 400 monthly compensation memos end-to-end, cutting a 2-3 day manual process to an overnight run with zero manual intervention.
Athena IntelligenceClaude · Claude Opus 4.6 · Claude Sonnet 4.5Syracuse University rolls out Claude Enterprise to 30,000 students, faculty, and staff
Syracuse University gave every student, faculty member, and staff member access to Claude, and is launching Clementine, a class-search tool that uses Claude Opus to query millions of rows of enterprise data in real time through custom MCPs so students can ask natural-language questions about which classes to take. The university's Chief Digital Officer also redesigned a practice exam using Claude to test recall through short written answers instead of multiple choice, after which real exam scores rose 12 points, and reports Claude Code is now the most requested tool among IT staff and other university staff.
Syracuse UniversityClaude · Claude Opus 4.6 · Claude Code +1Workerbase powers real-time shop floor AI workflows on Google Cloud
German manufacturing software company Workerbase uses Google Cloud's Vertex AI and Google Kubernetes Engine to deliver real-time, AI-generated troubleshooting instructions to shop floor operators when machines report faults, translating instructions into workers' preferred languages and supporting predictive maintenance. Manufacturers including Siemens and Porsche use the platform, which also lets supervisors build low-code workflow apps in hours instead of months and integrates with legacy systems like SAP.
Workerbase· GermanyGoogle Cloud Vertex AI · Google Kubernetes Engine (GKE) · BigQuery +1Ventura County Health Care Agency reduces documentation time with Oracle Health Clinical AI Agent
VCHCA, the County of Ventura's public healthcare system, installed the Oracle Health AI Agents mobile app on physicians' phones starting November 2024. The app generates a draft clinical note from the physician's conversation with a consenting patient for the physician's review, approval, and sign-off. Over the 12 months since go-live, the 44 of 91 providers using the tool for at least half their notes saw a 10.7% reduction in time spent in the Oracle Health Foundation EHR and a 27.3% reduction in documentation time, freeing time for patient care.
Money Forward compresses new developer onboarding from a week to a day with Claude Code
Money Forward, one of Japan's largest cloud financial software companies serving over 17 million users, ran a structured internal evaluation program called MEPAR before rolling out Claude Code company-wide, reaching 80% engineer adoption with over 90% code acceptance. API endpoint implementation time dropped from two days to five hours, a single engineer built the company's entire MCP Server solo in three months, and an automated onboarding command compressed new developer setup from a week to a single day as the company expanded engineering teams into India and Vietnam.
Money Forward· JapanClaude CodeZingage cuts home care agency after-hours labor costs 82% with Claude-powered coordination agents
Zingage built an AI agent platform for home care agencies that operates directly inside agencies' electronic medical records, using Claude for structured tool calling and reasoning to handle caregiver call-outs, restaffing, and compliance documentation around the clock. At one Medicaid agency the system cut after-hours labor costs by 82% while maintaining 98% shift coverage, and a private-pay agency grew biweekly revenue 35% in six months by responding to after-hours client calls that previously went to voicemail. Average issue resolution time fell from 20-30 minutes of manual coordination to under 5 minutes.
ZingageClaudeInscribe cuts fraud review time 20x from 30 minutes to 90 seconds with Claude-powered risk agents
Inscribe, which builds AI Risk Agents for banks and fintechs, uses Claude on Amazon Bedrock to power fraud detection, document verification and risk analysis for financial institutions. The company's AI Fraud Analyst detects fraud in images and PDFs, runs KYC/KYB checks, and produces auditable risk reports in about 90 seconds, a 20x reduction from the prior 30-minute manual review. One fintech client increased loan application processing capacity 70x without adding headcount using Inscribe's Claude-powered risk agents.
InscribeClaude · Amazon BedrockOffDeal consolidates 12+ agentic workflows into one Claude Agent SDK-based M&A advisor
OffDeal, an AI-native investment bank serving founder-led businesses with $1-20 million in annual profit, migrated from a long-context model to the Claude Agent SDK and consolidated over a dozen separate agentic workflows into a single general-purpose agent named Archie. The switch raised internal evaluation accuracy from 25% to 85%, eliminated context-overflow API failures, let each of its four bankers manage 5 to 8 concurrent deals, and produced a buyer-sourcing list that used to cost $12,000 and a week of analyst time for about $200 in compute. The firm closed 8 deals totaling $91 million in its first year with a team of two bankers.
OffDealClaude Agent SDK · Claude Code · Model Context Protocol (MCP)Deutsche Bahn uses AI to cut S-Bahn delays and speed up train maintenance inspections
Deutsche Bahn deployed an internally developed AI tool that gives dispatchers real-time recommendations for managing S-Bahn disruptions; after a successful pilot in Stuttgart, it is being rolled out to the Rhine-Main and Munich S-Bahn systems. In Stuttgart the tool lets DB compensate for delays of up to eight minutes and could theoretically enable 17 more trains per day in each direction on the core route. In maintenance, AI-based automated image analysis from camera bridges identifies train damage in a few minutes, cutting tasks such as ICE roof inspections from several hours to just minutes. DB also uses AI-driven forecasting for passenger arrival/departure information (in production since 2018), a 'Peak Spotting' tool to predict capacity peaks, and the SEMMI voice-based virtual assistant for customer service.
Deutsche BahnSEMMI · Peak SpottingLufthansa Group handles 16M+ conversations a year with Cognigy Self-Service AI Agents
Facing overwhelming call volumes during COVID-19, Lufthansa Group consolidated its customer service under Cognigy.AI to build Self-Service AI Agents that handle rebookings, travel info, alternative flight checks and refunds across Austrian, Lufthansa and SWISS. The AI Agents are deployed across websites and SMS links with multilingual support and real-time translation. Lufthansa now runs 16+ customer service AI Agents handling more than 16 million conversations per year, with peak days seeing up to 375,000 AI conversations, freeing human agents to focus on more complex issues.
Lufthansa GroupCognigy.AINHS Grampian uses AI to speed up lung cancer detection in chest X-rays
NHS Grampian's GRACE Project deployed Annalise CXR AI software, which scans chest x-ray images for more than 120 potential issues, to prioritize urgent-suspected-cancer cases for radiologist review across 13 sites, the first use of the algorithm by a UK health board. All images are still manually assessed by radiologists, with AI flagging images that may show signs of lung cancer for more urgent review. The project is finding 12% more treatable cancers and getting 95% of patients through to treatment 30 days faster, even as urgent cancer referrals rose about 50% over five years. NHS Grampian reviews about 70,000 chest x-rays a year, catching roughly 300 previously unknown lung cancers.
NHS Grampian· United KingdomAnnalise CXRVodafone amplifies call center innovation, customer service, and employee inclusion with Azure AI
Vodafone enhanced its TOBi virtual assistant with Azure OpenAI Service and built SuperAgent, a conversational AI search tool on Azure AI Foundry and Azure AI Search, piloted at its Corso, Italy call center; TOBi now handles nearly 45 million customer calls a month and fully resolves 70% of digital-channel inquiries, cutting average call times by at least a minute.
Vodafone Group· United KingdomAzure · Azure AI Search · Azure AI Studio +2Carlsberg builds AI knowledge base in two days with Microsoft Unified
Carlsberg Group built Global Brain, a large language model knowledge assistant on Azure OpenAI Service and Copilot Studio, developed in two days, that reduces time to query 4,000 operational supply chain standards by about 99% for over 10,000 supply chain workers, cutting 30-minute manual searches down to seconds.
Carlsberg Group· DenmarkAzure OpenAI in Foundry Models · Microsoft Copilot Studio · Microsoft Power Platform +2The Met Office Makes Leaps in Last Mile Forecast Generation with Amazon Nova
The UK's Met Office worked with AWS to prototype automated maritime Shipping Forecast text generation using Amazon Nova Pro and a fine-tuned Nova Lite vision-language model, achieving 62% LLM accuracy for complete forecast generation and 83% gale warning accuracy versus forecaster observations, built in four weeks.
Met Office· United KingdomAmazon Nova Foundation Models · Amazon Bedrock · Amazon SageMakerConstantinople helps mid-market banks adopt AI using Amazon Bedrock
Financial services provider Constantinople built an AI-native banking platform on AWS using Amazon Bedrock, performing more than 8,000 daily data quality checks; at partner bank Tyro, AI-powered customer service automation resolves 68% of customer chats without agent involvement, and lending document review that once needed teams of about 30 people can now be handled by as few as two.
Trusted AI at scale: UCB accelerates innovation for patients with Microsoft Foundry
Belgian biopharmaceutical company UCB built SKAI, a secure AI platform on Microsoft Foundry and Azure OpenAI, including the Milton assistant that drafts medical writing documents and Programmer Mike that translates statistical code, moving from concept to production in under six months and aiming to grow Microsoft 365 Copilot adoption from 50% to 80% of employees.
UCB· BelgiumAzure · Azure OpenAI · Azure AI Foundry +5Puratos elevates customer engagement with Azure OpenAI Service chatbot
Belgian bakery ingredients company Puratos built Purabot, a generative AI chatbot on Azure OpenAI Service, to help customers navigate its complex product catalog; 42% of customers now use it to source product information and 21% to find recipes.
Puratos· BelgiumAzure OpenAI Service · AzureBuilding an agent mesh in 3 days: Syngenta's Bedrock AgentCore journey
Swiss agriculture company Syngenta built a federated multi-account agent mesh using Amazon Bedrock AgentCore, deploying the initial architecture in 3 days and six cross-functional agents in 4 weeks, achieving 20% better latency and 40% faster deployment, with its Austyn data-analytics agent now used by up to 12,000 internal monthly active users.
Aker BP builds an AI-first future with Microsoft 365 Copilot and AI agents
Norwegian oil and gas producer Aker BP became an early adopter of Microsoft 365 Copilot and used Copilot Studio to let employees build their own Knowledge Agents for information retrieval, reaching a 96% active user rate on its Viva dashboards and committing to give every employee a Copilot license in 2025.
Aker BP· NorwayMicrosoft 365 Copilot · Microsoft Copilot Studio · Microsoft Power Platform +1Parrot Analytics scales smarter content intelligence with Amazon Bedrock AgentCore and Amazon Nova
Media analytics company Parrot Analytics built AI agents on Amazon Bedrock AgentCore with Amazon Nova 2 Lite to classify billions of unstructured audience demand signals, processing signals 10 times faster, cutting operational costs by 60%, and reducing manual verification by 85%.
Parrot AnalyticsAmazon Bedrock AgentCore · Amazon Nova 2 Lite · Amazon BedrockPrime Focus Technologies Transforms Content Localization with Agentic AI on AWS
Media technology company Prime Focus Technologies built AI agents on Amazon Bedrock running Anthropic's Claude and LangGraph for its CLEAR AI platform, automating subtitling, translation and transcript generation, cutting content localization costs by 20-30% and turnaround time by 30-40% while improving accuracy by 20-30%.
Prague Airport improves productivity by bringing AI into everyday work with Microsoft 365 Copilot
Prague Airport deployed Microsoft 365 Copilot, Azure AI Services and Copilot Studio to over 300 employees, using Azure AI Vision for document processing and Azure AI Services to classify restaurant customer feedback, with staff saving up to two hours a week.
Tapestry Collects Feedback from Thousands of Store Associates Using AWS
Luxury retailer Tapestry built a generative AI engine on Amazon Bedrock, Amazon Transcribe and Amazon Translate to power Tell Rexy, a feedback app for store associates, and Ask Rexy, a chatbot for corporate analysts, collecting close to 30,000 feedback pieces in a year and speeding generative AI application development by 10 times.
Tapestry· United StatesAmazon Bedrock · Amazon Transcribe · Amazon TranslateFirst West Credit Union accelerates service with Microsoft Copilot and AI agents
Canada's First West Credit Union deployed Microsoft 365 Copilot and built custom agents in Copilot Studio for research, retrieval and commercial banking workflows, reaching 93% employee adoption and a 90% weekly utilization rate, with one division president saying agentic AI lets his team operate with the effectiveness of a team nearly 40% larger.
Oxford University Hospitals innovate with Microsoft Copilot to deliver efficiencies and improve workforce well-being
Oxford University Hospitals NHS Foundation Trust rolled out Microsoft 365 Copilot to its 18,500 network users, with over a third of users saving one to two hours per week and one meeting-notes workflow cut from 90 minutes to 25 minutes, freeing admin time for frontline care.
Manchester City Council harnesses Microsoft 365 Copilot with Copilot Studio to drive greater service for citizens
Manchester City Council deployed Microsoft 365 Copilot integrated with SharePoint for contact centre knowledge retrieval, cutting new-starter onboarding from one to two weeks down to a single day, and built an AI Foundry automation with partner ANS that classifies pothole severity from citizen-submitted photos.
DOMCURA settles insurance claims autonomously in about 10 minutes with Microsoft Foundry
German insurer DOMCURA built KIM, a modular AI agent platform on Microsoft Foundry and Azure using Azure Document Intelligence and Azure OpenAI, to automate claims documentation review and payout, settling qualified claims in about 10 minutes and reducing operational costs by 50%.
NET2GRID Drives Transition to Green Energy, Builds Utility Monitoring Solution on AWS
Dutch home energy management company NET2GRID built machine learning models on AWS to disaggregate household energy consumption by appliance with over 90% accuracy, and edge models that identify appliance events with 98% accuracy, while predicting next-day energy consumption for utilities with 98% accuracy.
Dow reimagines productivity and supply chain efficiency with Microsoft 365 Copilot
Materials science company Dow deployed Microsoft 365 Copilot and Copilot Studio agents to automate freight invoice review and flag billing discrepancies against negotiated rates, with Dow anticipating millions of dollars in shipping cost reduction in the first year.
Sanofi Drives Scientific Innovation with AI on AWS for Real-Life Patient Impact
Paris-based Sanofi's Digital Accelerator built eight AI-powered products on AWS in 18 months, including a marketing suite deployed across 18 countries, using Amazon SageMaker for ML development and condensing advanced analytics processes that took 6 months down to 1 month.
KPN amplifies marketing and sales productivity with Microsoft 365 Copilot for Sales
Dutch telecom provider KPN implemented Microsoft 365 Copilot for Sales integrated with Salesforce CRM to automate lead qualification, deal intelligence, and proposal drafting, with a survey of 78 salespeople finding it saves each person nearly two hours a week and 69% of account managers reporting improved offer quality.
Giles AI delivers 95% accuracy in data extraction with Vertex AI and Gemini
London-based Giles AI built its giles research assistant on Google Cloud's Vertex AI and Gemini, using Document AI to parse medical literature, achieving 95% accuracy in data extraction, an 85% reduction in time required for clinical research tasks, and a 98% agreement rate between the AI and human researchers.
Banco Inter automates core banking update analysis with Azure AI
Banco Inter, a Brazilian fintech serving over 30 million account holders, used Microsoft Azure AI Services and Azure AI Infrastructure to automate the analysis of update packages for around 40 core banking modules, reducing update analysis and installation time by 70% (small releases cut from 25 to 5 hours, large releases from 87.5 to 25 hours) and increasing the volume of releases its 30-person IT analyst team could process per month by up to 395%.
Glass Futures builds AI-driven digital twin to reinvent glass manufacturing
Glass Futures, based in St Helens, England, built an AI-driven digital twin of its first-in-the-world multi-fuel pilot glass furnace, developed with NVIDIA and the University of Liverpool's Virtual Engineering Centre as part of the AI-GLASS project (£1.5m Innovate UK/Made Smarter UK funding). Using NVIDIA RTX Pro 6000 GPUs and NVIDIA PhysicsNeMo, the digital twin combines real pilot-line sensor data (16 sensor points) with physics-informed neural networks to run over 11,530 calculations simultaneously, accurately predicting glass output and letting manufacturers test new fuels, electric heating and low-carbon alternatives like hydrogen and biofuels before trying them on the real furnace.
Aberdeen City Council saves $3M annually with Microsoft 365 Copilot rollout
Aberdeen City Council in Scotland, an 8,000-employee local government body serving 230,000 residents amid budget cuts and rising demand for health, mental health and housing services, deployed Microsoft 365 Copilot to 700 staff to automate repetitive administrative tasks like meeting minutes, reports, policy documents and translation. The council also piloted a Dynamics 365 telephony/Contact Center solution for personalized resident messaging via Facebook Messenger. The council reports a projected 241% ROI in time savings and productivity, saving an estimated $3 million annually, alongside gains in staff job satisfaction and faster delivery of priority resident services.
Aberdeen City Council· United KingdomMicrosoft 365 Copilot · Dynamics 365 Customer Service · Dynamics 365Shell delivers innovative energy solutions with data and AI on Databricks
Shell built its Shell.ai platform on Databricks to unify data, analytics, and AI workloads for its 600-member mathematics, computational and data science team, running over 100 AI applications including an inventory prediction model running 10,000+ simulations across spare parts and facilities, and an AI-powered recommendation engine for its loyalty program.
Fort HealthCare implements high-risk alerts to combat opioid epidemic
Fort HealthCare, the sole hospital in rural Jefferson County, Wisconsin, deployed Cerner's (Oracle Health) Clinical Decision Support Opioid Toolkit, which analyzes prescription history and trend analytics to generate near real-time high-risk alerts prompting providers to discuss naloxone provisioning with at-risk patients under an opioid treatment agreement.
EBlock boosts efficiency with AI-powered scheduling and routing in Oracle Fusion Field Service
EBlock, a real-time dealer-to-dealer vehicle auction platform, replaced manual dispatch coordination with Oracle Fusion Field Service's AI-driven routing and scheduling to manage rising vehicle inspection volumes, implemented with partner Motiv in 90 days.
Heidi Health fine-tunes NVIDIA Parakeet/Nemotron ASR, cutting clinical transcription latency 75% and costs 64%
Heidi Health, which processes 2.4 million clinical consultations weekly across 110 languages, fine-tuned the open NVIDIA Parakeet V2 speech recognition model on 1,500 hours of curated clinical audio using the NVIDIA NeMo framework and 8x H100 GPUs, replacing its closed-source vendor ASR. The in-house Nemotron-based ASR stack cut end-to-end transcription latency from about 3.0 seconds to 0.7 seconds (75%+ improvement), reduced word error rate from 13% to 9.4%, and cut operating costs by 64% by eliminating per-minute API pricing, while giving Heidi full ownership of model weights for data sovereignty.
American Hospital of Paris: Bringing the focus back to the patient with Microsoft Dragon Copilot
The American Hospital of Paris joined a private preview to co-design Microsoft Dragon Copilot, an ambient AI clinical assistant combining Dragon Medical One speech recognition with generative AI to automate visit note generation for physicians. Cardiology visit notes that previously took 8 to 9 minutes to finalize are now completed in about 90 seconds, letting physicians focus on patients during consultations instead of documentation.
American Hospital of Paris· FranceMicrosoft Dragon Copilot · Dragon Medical One · DAX CopilotNancy University Hospital harnesses AI as a catalyst for talent attraction with Microsoft 365 Copilot
Nancy University Hospital (CHRU) in France piloted Microsoft 365 Copilot with 50 finance, operations and administrative users to automate email drafting, document summarization and presentation creation, without accessing medical data. The pilot succeeded so well that the hospital expanded it to 300 users, with staff reporting one to three hours saved per week and reduced cognitive load, backed by a formal AI roadmap funded in part by the regional health agency.
Nancy University Hospital (CHRU)· FranceMicrosoft 365 Copilot · Word · PowerPoint +1CHU Montpellier: France's pioneering AI-powered hospital with Azure OpenAI Service
CHU Montpellier, a French university hospital with 12,000 staff, built ERIOS, an experimental center for digital health, and developed "ERIOS Assistant" using Azure OpenAI Service and GPT-4o on a hybrid local/Azure infrastructure. The generative AI assistant generates real-time explanatory documents for patients, structures medical data from clinical notes, and identifies patients eligible for research protocols, while Microsoft Copilot Studio and Microsoft 365 Copilot support clinical and administrative staff across the hospital.
CHU de Montpellier· FranceAzure OpenAI Service · GPT-4o · Microsoft Copilot Studio +1Legal & General use AWS AI to transform Customer Experience, Speed, and Productivity
Legal & General's UK Retail Retirements Division modernized processing of more than 1 million paper pension documents per year by building Docusort, a document management solution using Amazon Textract and Amazon SageMaker to classify documents, extract data and update backend systems. The machine-learning-powered solution now processes 1,000 documents concurrently in 30 minutes, improving regulatory SLA compliance and enabling the division to redeploy five staff to other work.
Legal & General· United KingdomAmazon Textract · Amazon SageMakerTransforming customer service with agentic AI and Amazon Nova at Ryanair
Ryanair, Europe's largest airline, built a customer service AI assistant on Amazon Bedrock AgentCore powered by Amazon Nova 2 Lite, working with AWS Partner Cation Consulting, to replace an earlier architecture of 12 domain-specific agents with a single consolidated agent. The assistant handles 120,000 daily chat interactions across seven languages with an 80% containment rate and 94% accuracy, cut response latency from 18 seconds to 2.9 seconds, and combined with Amazon Connect voice automation has reduced customer service agents per passenger carried by 70% while saving over 500,000 agent hours.
RyanairAmazon Bedrock AgentCore · Amazon Nova 2 Lite · Amazon Connect +1AI-driven personalization improves advisor outreach
Ceska sporitelna, part of Erste Group, built Persona 360 on the Databricks Data + AI Platform to combine transactional, call center and digital data into deterministic and probabilistic client insights for branch advisors, using Unity Catalog, Feature Store and Lakeflow Jobs. Approximately 32% of branch advisors clicked on their personalized tips, half of advisor calls enhanced by personalized tips resulted in a personal meeting, and the bank gained 1,000 new client meetings within the first three months.
Česká spořitelnaDatabricks Data + AI Platform · Unity Catalog · Delta Lake +2Democratize insight with generative AI and knowledge graphs
Stardog used Databricks Training to fine-tune large language models for Voicebox, a conversational AI interface for its Enterprise Knowledge Graph platform. After finding off-the-shelf models from OpenAI and others insufficient for the accuracy required, Stardog fine-tuned its own smaller models to match or exceed the quality of larger third-party models while retaining data security and control, letting business users query enterprise data using natural language prompts.
Mercedes-Benz Tech Innovation transforms the car experience
Mercedes-Benz Tech Innovation (MBTI) adopted the Databricks Data + AI Platform to process sensor data streams from millions of vehicles and EV charging stations. Databricks SQL cut query and loading time from 192 hours to 90 minutes, and MBTI now runs machine learning models on the lakehouse architecture to analyze vehicle battery capacity, route information and charging station locations, providing drivers with optimized route planning and charging stops.
Leveraging hyper-personalization: Enriching the player journey through data and automation
Games24x7, an Indian online gaming platform with over 100 million players, partnered with Databricks to unify data operations and automate data pipelines supporting its machine-learning-driven hyper-personalization and fraud detection systems. The move deployed fraud prediction models 16% faster and reduced operational costs for BI workloads by 20%, while a marketing optimization platform built on the Databricks Data + AI Platform tracks and scales campaign performance.
Empowering the next billion software creators
Replit used Databricks Training infrastructure to build its own multi-billion parameter code-completion LLM from scratch, scaling up to 256 GPUs and launching the model in under a week to meet an accelerated product deadline. The model powers Replit's AI suite, which completes, explains and transforms code for its 25 million platform users, and Databricks Training reduced Replit's total cost of ownership for deploying the code-generation LLM.
Model Experimentation Made Easier
Refuel.AI built Refuel LLM, a purpose-built model for data labeling and enrichment, by instruction-tuning a Llama-v2-13b base model on more than 5 billion tokens using Databricks Training infrastructure. The initial training run produced a 78% increase in label quality, and subsequent fine-tuning on a cluster of 8x H100s added a further 16% performance gain, outperforming trained human annotators and several other LLMs on a 15-dataset text labeling benchmark.
Notion builds agent orchestration where teams and Claude collaborate on real work
Notion built agent orchestration on Claude Managed Agents, letting teams delegate work like coding, presentations and client deliverables directly from task boards, with teams able to kick off 30+ concurrent agent tasks at once. Claude also powers Notion's existing AI Writer, Autofill and Enterprise Search features, with prompt caching cutting Notion's infrastructure costs by 90% and latency by up to 85%. Enterprise customer Osaka Gas reports a 35% reduction in time spent searching for information, Remote saves an estimated 10 minutes per search across 300 daily queries, and dbt Labs saved over $35k annually by eliminating the need for separate AI tools.
NotionClaude Managed Agents · Claude PlatformCyera scales agentic AI across 1,500 employees with Claude Enterprise
Cyera, an AI data security platform, rolled out Claude Cowork company-wide to all 1,500 employees in 17 days, connecting it to 40 tools including Slack, Salesforce, Asana, Google Drive and Notion, plus a governed Snowflake semantic layer of 40 documented tables built by its data engineering team. Weekly active usage of Claude reached 88% across the company. A scheduled task now triages Cyera's internal Ask Claude Slack channel, cutting daily triage from five-to-six hours to about 30 minutes, and the legal team launched a Cowork plugin with 20 playbooks that pre-reviews inbound vendor NDAs against Cyera's negotiating positions.
CyeraClaude Enterprise · Claude Cowork · Claude CodeHow Atlassian builds AI agents teams can trust with Claude and Google Cloud
Atlassian, whose products including Jira and Confluence serve over 350,000 customers, built an internal AI model gateway on Google Cloud that routes complex, long-running agentic work to Claude while simpler high-volume tasks go to Gemini Flash. Claude powers Rovo Chat (Atlassian's in-app assistant used by millions), Rovo CLI (its primary developer AI experience), and Rovo Max, an early-access mode that plans and executes complex multi-step work across Atlassian's Teamwork Graph. More than 5 million AI agents now run in customer business workflows each month.
Atlassian· AustraliaClaude Platform · Claude Code · Google CloudCarvana turns Slack alerts into production fixes with Claude Tag
Carvana, the online car retailer, replaced two homegrown Slack bots with Claude Tag, giving individual teams their own scoped data-warehouse access via per-team identities and bundles of instructions, tools and access. Claude Tag monitors Slack channels for production monitoring alerts, automatically investigates root causes, identifies the owning team, and can open a pull request for review before a human merges the fix. The rollout cut alert volume in the retail science channel by 56% by resolving recurring root causes, and reduced time-to-answer for the wholesale platform team's issue and alert triage by 65%.
CarvanaClaude TagSpellbook runs 530,000 contract reviews a month with Claude
Spellbook, a contract drafting and review platform serving 5,000 customers across 80 countries including in-house legal teams at companies like LG, Dropbox and eBay, built Claude-powered agents that review and redline contracts inside Microsoft Word, apply each legal team's own review standards automatically, and orchestrate about 15 different Claude agent configurations matched to task complexity. Spellbook's agents now run about 530,000 contract reviews a month and field more than 700,000 lawyer chat messages a month, cutting the time to complete an agreement roughly 10x, from about 10 hours of lawyer work to about one hour.
SpellbookClaude Platform · Claude CodeDXC brings Claude to the insurance backbone running billions of policies
DXC Technology built Assure, an orchestration platform for its 1,100 insurance carrier, broker and TPA customers, with Claude running inside every layer: document intelligence classifies incoming claims documents in under a second, workflow orchestration routes decisions via purpose-built Smart Apps, and a compliance layer logs and can replay every action for regulators. Claude cut claims document backlogs from days to minutes, embedded new regulatory rules in days versus the historical 12-18 months, and stood up a working version of a complex, regulated workers' compensation benefits calculation in eight hours that was 80% right on the first pass, reducing the share of that calculation requiring human judgment from 70% to 20%.
DXC TechnologyClaude Platform · Claude APIFor Torrance Memorial doctors, Oracle AI cuts documentation, boosts well-being
Torrance Memorial Physician Network piloted the Oracle Health Clinical AI Agent with primary care physicians in ambulatory clinics, installing it on physicians' mobile phones so it could listen to patient-physician conversations and generate draft notes, including Spanish-language note generation, integrated with the Oracle Health Foundation EHR. The Clinical AI Agent helped physicians reduce documentation time by an average of 23%, or 6 minutes and 55 seconds per patient encounter.
Prada Group tailors their AI strategy with data intelligence on Databricks
Prada Group built a single source of truth across 600+ stores in 70 countries using Databricks Unity Catalog to feed machine learning and generative AI models for forecasting, personalization and marketing optimization.
Prada GroupDatabricks Data + AI Platform · Unity Catalog · Agent BricksSympower accelerates Europe's energy transition with forecasting on Databricks
Energy flexibility company Sympower built electricity demand forecasting models on a Databricks medallion architecture with Delta tables, Lakeflow Jobs and Unity Catalog to manage about 2 gigawatts of flexible capacity for European grid balancing, enabling rapid collaborative prototyping of new forecasting models.
Prosus fine-tunes open-source LLMs on Databricks to deploy GenAI across its portfolio companies
Prosus, a global technology investor with an applied AI lab of over 600 data scientists, used Databricks to pretrain and fine-tune open-source foundation models like MPT-30B on data such as Stack Overflow content, building conversational GenAI solutions including a Polish-language marketplace model and a Portuguese-language model for a food-delivery investee company. Databricks let Prosus productionize LLMs faster and more cost-effectively across its portfolio without building its own GenAI training infrastructure.
Eneco's AI agent handles 70% more customer conversations without human hand-off
Eneco, a leading sustainable energy provider serving over 1.5 million customers in Belgium, replaced an underperforming chatbot with a new AI agent built on Microsoft Copilot Studio, combined with the Conversational Language Understanding model in Azure AI, developed in just three months -- half the time needed for the original chatbot. The new AI agent achieves an intent recognition score of over 95% and handles 67% of customer conversations without requiring hand-off to a live agent, compared to only 40% with the previous chatbot -- a 70% relative improvement. The agent now handles 24,000 chats per month, up from an average of 10,000 with the previous chatbot, with Azure AI Translator enabling cross-language handling between customers and agents.
KARL STORZ achieves 97% active usage of Microsoft 365 Copilot across a governed MedTech AI rollout
KARL STORZ, a German MedTech company headquartered in Tuttlingen that develops medical instruments and operating room solutions for a global workforce of nearly 10,000 employees, adopted Microsoft 365 Copilot to give employees generative AI productivity for meeting summaries, drafting, and information retrieval without moving regulated data outside its existing governed Microsoft 365 environment. Because Copilot respects existing data permission structures, it only surfaces documents users are already authorized to access, letting IT extend AI capabilities without reworking governance for its regulated, multi-region operations. Active usage reached 97% across approximately 2,000 licensed users, with 93% returning month over month; the company is now expanding the rollout to 5,000 licenses.
mobilezone's AI agents cut IT support resolution time in half and handle 1,600+ chats monthly
mobilezone AG, a Swiss telecommunications retailer with more than 125 physical stores, used Microsoft Copilot Studio with Dynamics 365 and Power Platform to build two AI agents: Mia, a customer-facing agent on its website, and Supporto, an internal IT service desk agent. Mia retrieves product and offer data in real time from Dynamics 365 via an MCP server and handles roughly 1,250 active chats per month across German, English, French, and Italian. Supporto, which went live in January 2026, gathers structured information conversationally to auto-generate IT support tickets and now handles all first-level IT service requests, reducing average IT resolution time by half. Together the two agents handle more than 1,600 conversations per month.
TotalEnergies' AI agent MARGE improves fault-cause identification 25-45% in industrial maintenance
TotalEnergies, a global energy producer operating in nearly 120 countries, rolled out 30,000 Microsoft 365 Copilot licenses to employees and built autonomous AI agents on Microsoft Copilot Studio. MARGE (Machine Assisted Reliability and Graving Engine) automatically analyzes and classifies industrial maintenance intervention reports that were previously handled manually, improving the identification of fault causes by 25% to 45%. A second agent, BuyerCompanion, built with partner Witivio, streamlines procurement for transactions up to €50,000 by drafting specifications, identifying suppliers and relevant framework agreements, and generating personalized recommendations, with an estimated 10% savings on certain purchases; it is already operational in France and could ultimately support 15,000 staff worldwide.
SherloQ's AI-powered marketing platform lifts an HVAC company's sales 98% by surfacing real customer search language
SherloQ built an 'AI Smart Core' using IBM Watson Natural Language Understanding and Natural Language Classifier services to analyze calls, chats, texts, and email transcripts in real time, capturing first-party customer search language that major ad platforms strip out. For HVAC company Hurley & David Inc., SherloQ's AI revealed customers were searching for terms like 'A/C for small attic space' rather than the industry term 'mini-split'; after the company's ad agency rewrote landing pages and ads using this AI-derived language, sales rose from about USD 105,000 to more than USD 208,000 in three months, a 98% increase driven mainly by organic search. For the Law Offices of Mark E. Salomone, adopting the SherloQ AI solution raised the firm's click-to-lead conversion rate from an already above-average baseline to 28.92% within a month, reaching a peak of 46.75% by November 2019 against an industry average of 6.98%.
Launchmetrics uses generative AI to cut brand-analytics prototype development from 5 months to weeks
Launchmetrics, an AI-driven marketing analytics company for the fashion, lifestyle, and beauty sectors, uses Amazon Bedrock generative AI in a two-step process: first using machine learning to identify keywords describing brands across tens of millions of chunks of online text, then using large language models to score identified trends against brand dimensions and translate the analysis into narratives marketing professionals can understand without data science expertise. Using generative AI on AWS, Launchmetrics sped up prototype development from as long as 5 months to just a few weeks, and gained the ability to generate synthetic data sets for brands with little online presence, allowing it to move from managing hundreds of brands with AI to thousands.
Oriserve's generative AI voice bots cut cost to serve 50% and lift a telecom client's customer retention 75%
Oriserve, an India-based generative AI customer engagement startup, built multilingual AI agents and conversation analytics on Amazon Bedrock supporting more than 120 languages and dialects. Using large language models including Claude 3.5 and Llama 3-70B, Oriserve reduced its cost to serve by 50% and cut LLM fine-tuning time from weeks to days, while its voice bot achieved 90% automatic speech recognition accuracy with 60% fewer word errors than industry standards. Indian telecom provider Vi used Oriserve's generative AI agents to immediately engage customers during the narrow window after a number-port request is created, increasing customer retention rates by 75%; other customers included an education technology company that tripled qualified leads and a global retail brand that saw a 10% revenue boost.
IRCEM's AI chatbot handles 4,000 customer conversations monthly with a 90% completion rate
IRCEM, a French non-profit social protection group serving 1.4 million childcare assistants and household employees plus 750,000 pensioners, worked with IBM Cloud Expert Labs to build a chatbot using IBM watsonx Assistant to automate responses to customer queries and point users to online documentation. The chatbot relieves customer relations teams of 4,000 conversations each month, with a 90% success rate for conversations that provide a response to the customer. IRCEM later extended AI into an assisted messaging system that analyzes a customer's draft email in real time to surface relevant information before it is sent; since its launch, the assistant activates 7 times out of 10, and 5-10% of users decide sending their message is no longer necessary after the AI's intervention.
Discovery Bank's Azure OpenAI assistant for agents delivers 500% ROI
Discovery Bank, a fully digital South African bank serving clients with transactional, lending, savings, investment, and forex products, built an AI-powered data infrastructure on Microsoft Azure and Azure Databricks. Using Azure OpenAI Service, the bank created an AI assistant for its roughly 200 customer service agents, who handle about 3,000 calls a day; the assistant surfaces personalized client and product information through a simple chat interface, helping agents proactively suggest tailored actions and reducing agent training time. Azure Databricks also powers predictive models that identify the most effective channels, messages, and timing for customer engagement. Combining the Databricks platform and the Azure OpenAI-powered assistant, Discovery Bank measured a 500% return on investment via its shared-value metric, alongside improvements in customer satisfaction, retention, and engagement.
Artefact builds generative AI customer-insight tool for a major French bank in one month
Artefact, a French AI and data consultancy, used IBM watsonx.ai to build a generative AI tool for a major French bank that lets professionals interact with AI-generated customer personas representing clusters of 2 to 3 million real customers, rather than working with anonymized raw data. Users define a target customer segment and engage the resulting avatar in a chat-like exchange to learn about consumption habits and preferences, with every AI-generated response made explainable. Artefact deployed the entire solution, from back end to front end, in just one month with a small team, and the bank is now pursuing a second generative AI project that would let the AI directly generate emails.
DTI Group's agentic AI platform COGNAiO cuts loan document processing time 80%
DTI Group, a Switzerland-based document automation company, built COGNAiO, an agentic AI platform on Microsoft Azure and Microsoft Foundry (including Azure Document Intelligence, Azure Kubernetes Service, and Azure Database for PostgreSQL) that interprets, validates, and acts on information in documents, emails, images, and data feeds by meaning and context rather than templates. Users describe processes in natural language to deploy agents without code. One retail bank customer processing over 50,000 loan agreements annually reduced processing time per case by 80% using COGNAiO. In a high-volume banking deployment, the platform processed pages in an average of 2.5 seconds against a required service-level threshold of 6 to 9 seconds, with document understanding and validation accuracy approaching 99%.
Zurich Insurance deploys over 200 AI tools including GenAI underwriting applications
Zurich Insurance Group, a global insurer headquartered in Switzerland, adopted Microsoft Azure OpenAI Service to translate unstructured customer data -- images, emails, and reports in many languages -- into its rules-based underwriting environment. Zurich is developing advanced, bespoke, multimodal GenAI applications that lead to more accurate and efficient risk evaluations, accelerating the underwriting process and reducing turnaround times. Zurich now has more than 200 AI tools deployed across its global, decentralized footprint, with Azure AI acting as a coach that helps underwriters gain experience faster and ask better questions.
Deutscher Maklerverbund's multi-agent AI platform triggers system actions in 70% of broker conversations
DEMV Deutscher Maklerverbund, a German insurance broker network serving more than 7,000 offices and 16,000 users, built Professional Works X (PWX), a multi-agent AI platform using Azure OpenAI Service, Microsoft Foundry, and Azure API Management. Each PWX agent manages a specific task area -- drafting communications, handling policy and claims operations -- allowing brokers to interact via chat or voice and submit claims, manage policies, and capture customer information directly through AI-powered processes, such as creating a claim from an uploaded photo of a police accident report. After a roadshow launch, weekly active PWX users grew about 65%, from around 850 to 1,400, with the platform handling 700-800 chats daily (peaking around 1,000) and about 70% of conversations triggering at least one system action such as retrieving data or preparing documentation.
Commerzbank's AI agent Ava autonomously resolves 75% of 30,000+ monthly customer conversations
Commerzbank AG, one of Germany's leading financial institutions, built Ava, an AI-powered conversational agent using Microsoft Foundry Agent Service, Azure OpenAI, Azure AI Content Safety, and Azure Cosmos DB. Ava uses natural language processing to interpret customer intent and manage complex, high-value requests such as credit card lifecycle management and balance inquiries, escalating to a human colleague when needed. Ava manages more than 30,000 customer conversations every month, resolving about 75% of requests autonomously and providing round-the-clock support, while Azure AI Content Safety filters sensitive data and detects potential fraud patterns to maintain regulatory compliance.
BMW Group uses AI-powered vision and sound analytics for predictive maintenance and quality management
The BMW Group built its Vision and Sound Analytics Service (VSAS) on AWS, processing 1.3 million image and audio files daily across 1.3 PB of data at more than 16 production sites worldwide. The company uses the platform's stored data to build AI models for predictive maintenance and quality management, including a computer vision model that predicts potential rail failures to reduce downtime, and an Acoustic Analytics application that automatically captures and analyzes vehicle sounds using trained models to detect anomalies and improve engine performance and in-cabin comfort, reducing the need for human intervention in testing vehicles with no driver present. Using AWS Graviton processors for AI model training, BMW cut compute costs for its computer vision solution by 63% and reduced model training time for various use cases from days to hours.
Choctaw Nation preserves its language using a fine-tuned Llama AI translation system on Oracle AI infrastructure
The Choctaw Nation of Oklahoma, whose native language has dwindled to about 300 first-language speakers, built an AI-powered translation application using Oracle Cloud Infrastructure (OCI) Data Science, OCI AI infrastructure, and Oracle APEX. Tribal linguists fine-tuned Meta's Llama large language models to validate translations between English and Choctaw. When a translation request comes in, an AI agent uses the fine-tuned Llama model with retrieval-augmented generation to consult dictionary resources and validated translation databases, generating a proposed translation that human linguists then review and refine. The application can extract and validate translation pairs from historical documents such as 19th-century newspapers and interview transcripts. Using Oracle AI infrastructure and model fine-tuning tools, tribal linguists can process double the translation requests per day compared to the prior manual process, and sensitive language data stays within Choctaw-controlled OCI environments for data residency and cultural protection.
Novo Nordisk uses machine learning and computer vision to automate pharmaceutical manufacturing quality checks
Novo Nordisk, a Danish pharmaceutical company that supplies nearly 50 percent of the world's insulin, built an automated ML pipeline on AWS using Amazon SageMaker Pipelines to train, deploy, and monitor computer vision models on edge devices. The system automates previously manual tasks including counting drug cartridges in boxes and detecting bacterial anomalies on agar plates, using a robotic arm, camera rig, and edge inference, with results monitored via an Amazon QuickSight dashboard. The solution deploys ML models at scale to different edge devices, automates quality-assurance tasks, improves time to market, and was successfully repurposed from the cartridge-counting use case to the agar-plate anomaly detection use case with minimal changes.
Haymarket Media uses AI to assign therapeutic categories based on content consumption for ad targeting
Haymarket Media, a global B2B healthcare media company operating more than 30 brands, implemented Oracle Fusion Unity Data Platform to unify fragmented, duplicate audience records from a dozen data sources into a single identity graph. Beyond identity resolution, the platform embeds AI capabilities that Haymarket uses to assign therapeutic categories to users based on their content consumption -- for example, inferring that a primary care physician who reads dermatology content is a high-value target for dermatology advertisers. This AI-driven categorization increases personalization while reducing manual data work. Identified users increased by 60% in 10 months, and Haymarket can now score more than 450 topics across 30 sites and segment audiences at the individual level.
Northern Health uses AI-powered scheduling and routing for its Hospital in the Home program
Northern Health, one of Victoria's largest public healthcare networks in Melbourne, Australia, deployed Oracle Fusion Service and Oracle Fusion Field Service to replace manual phone-call, spreadsheet, and whiteboard coordination for its Hospital in the Home (HITH) program. Oracle Fusion Field Service drives AI-powered clinician scheduling, routing, dispatch, and mobile workforce management, connected to electronic health records from Oracle Health. AI-powered scheduling and route optimization help teams allocate clinicians more effectively, reduce reliance on manual planning, and give coordinators end-to-end visibility into distributed home-care operations.
Second Dinner optimizes in-game experiences with personalization on Databricks
Marvel Snap developer Second Dinner built real-time, one-to-one shop personalization models using Databricks MLflow and Delta Lake, cutting feature launches from 10 per year to more than 50 (a 400% increase) and reducing model development and training time from months to weeks.
Accertify detects fraud in milliseconds using Oracle Distributed Database's built-in AI
Accertify, a fraud prevention provider for retailers, travel, and financial services, adopted Oracle Distributed Database with sharding and built-in AI to analyze billions of financial transactions. The company processes over a million transactions daily, detecting fraud in milliseconds at petabyte scale with 100K+ TPS and near-zero response time. Oracle's database helped Accertify prevent $7.1 billion in fraud while maintaining data sovereignty and supporting 100% year-over-year event growth, protecting more than $1.13 trillion in commerce annually.
St. Joseph's Health uses Oracle Health AI to close care gaps and sustain lower readmission rates
St. Joseph's Health, a New Jersey-based health system, implemented Oracle Health Quality Management, Oracle Health Care Coordination Intelligence, and Oracle Health AI Data Platform to unify patient records that had been scattered across disparate EHR and payer systems. AI capabilities embedded in the Oracle Health solutions, including AI-powered agents for clinical documentation, provide physicians with relevant data in context and help clinicians identify and close care gaps earlier. Using advanced data analytics to identify patients repeatedly readmitted for congestive heart failure, St. Joseph's Health implemented a targeted care program that produced a sustained reduction in readmissions, keeping its readmission rate below the market average for three consecutive years.
Federal Bank lifts campaign engagement 50% with AI-driven marketing automation
Federal Bank, a prominent private-sector bank in India with more than 1,500 branches, adopted Oracle Sales and Oracle Marketing to replace slow, manual, batch-based customer engagement processes and fragmented customer views. With more timely, relevant, and personalized campaigns powered in part by AI-driven automation, the bank achieved 50% higher campaign engagement rates and a 40% improvement in email open rates, while the bank's Chief Marketing Officer credited AI-driven automation with saving the bank millions of rupees and enabling it to operate with a leaner team.
Logically forecasts narrative risk for government and enterprise with a conversational AI agent on Databricks
Threat intelligence company Logically built a conversational AI agent using Databricks Agent Bricks Custom Agents, AI Search, Delta Lake and LangGraph to make narrative-risk intelligence accessible to non-technical users, processing over 10 million social media messages daily and going from concept to production-ready agent in under two weeks.
Seven West Media fuels audience growth and ad revenue with an AI Factory built on Databricks
Australian media company Seven West Media built an enterprise-wide 'AI Factory' on Databricks with AI/BI Genie, MLflow and Unity Catalog for predictive audience analytics and re-engagement campaigns, growing daily active users on 7plus by 40%, generating $16 million in incremental ad revenue from lapsed-user re-engagement, and cutting cost per click by 50%.
Myntra provides hassle-free, personalized shopping experiences with Databricks
Indian fashion e-commerce platform Myntra rebuilt its data architecture on Databricks Delta Lake with a medallion architecture to unify batch and streaming processing for real-time ML-driven recommendations, cutting infrastructure costs by 35% and improving real-time pipeline performance by 25%.
Ensemble Health Partners modernizes the healthcare revenue cycle with Databricks
Healthcare revenue cycle company Ensemble Health Partners migrated its EIQ intelligence engine to a Databricks lakehouse with Delta Lake and Unity Catalog, tuning over 5,500 ML models on 25,000+ variables to prevent claim denials and improve revenue yield, achieving a 2x performance improvement and 10x reduction in failure rates.
Accolade creates seamless healthcare experiences with a RAG solution on Databricks
Healthcare technology company Accolade consolidated fragmented data from AWS Redshift and Snowflake into a Databricks lakehouse with Unity Catalog and built a RAG solution using the open-source DBRX model via Agent Bricks Custom Agents to help internal teams quickly and accurately answer complex member inquiries.
AccoladeDatabricks Data + AI Platform · Unity Catalog · Agent Bricks +3Philips cuts MRI scan reconstruction to a 40-second process using deep neural networks on AWS
Philips, headquartered in the Netherlands, uses AWS cloud computing and deep neural networks to transform medical image reconstruction from a time-consuming process into a scalable 40-second solution, reducing MRI scan time roughly 10x and enabling faster patient diagnosis and reduced wait times.
Philips· NetherlandsPowering the digital economy. Leading with responsible AI.
Mastercard uses Databricks Unity Catalog as a core governance safeguard for its generative AI and RAG initiatives, applying a human-in-the-loop review process and an established AI governance program to extract value from enterprise data for personalization and fraud prevention across more than 173 billion annual transactions in over 210 countries.
Alinta Energy Leads With Data Intelligence
Alinta Energy uses the Databricks Data + AI Platform to unify data for customer support and operations, applying generative AI and advanced analytics to let teams write code, answer questions and make decisions faster.
Data Governance and AI Drive Better Living in Amsterdam
The City of Amsterdam, serving 22,000 municipal employees, uses the Databricks Data + AI Platform to ensure secure, ethical data governance and drive AI use cases such as crowd monitoring and street cleanliness assessment across social, physical, digital and operational domains.
Adobe brings creativity to life with Databricks
Adobe uses the Databricks Data + AI Platform for end-to-end data management that unifies all data and AI at scale, with 20% faster performance. Databricks equips over 92 teams at Adobe to unify data from financials, sales, products, customers and employees so they can drive personalized experiences across Adobe's digital platforms with AI.
CNH analyzes geospatial data to improve crop outputs
CNH used the Databricks Data + AI Platform to drastically reduce the time it takes to analyze massive volumes of geospatial data on weather patterns and crop outputs, using Delta Lake, Unity Catalog, and built-in H3 indexing to scale geospatial aggregations that previously were not possible to analyze.
Virgin Atlantic Elevates Travel Experiences with the Databricks Data + AI Platform
Virgin Atlantic unified data across commercial and finance teams on the Databricks Data + AI Platform, using AI/BI Genie for natural language queries and Unity Catalog for governance, reducing booking analysis from weeks to hours.
Virgin Atlantic· United KingdomDatabricks · Agent Bricks · AI/BI +1Mining less waste and more value with AI-driven insights
Nexa Resources built a unified Databricks Data + AI Platform with Unity Catalog governance, deploying predictive models for zinc filtration and cadmium removal and AI agents integrating GPT-4 and Llama 3.1 for contract analysis and a digital library assistant, generating $370,000 in combined annual savings and cutting IT supplier contract analysis time by 800%.
Nexa ResourcesDatabricks · Agent Bricks · Databricks SQL +2AtlantiCare accelerates ED transformation with Oracle Health
AtlantiCare, a New Jersey healthcare system, became an early adopter of Oracle Health's AI-powered clinical documentation, implementing Oracle Health Clinical AI Agent and ED LaunchPoint in its emergency department. Following implementation, physician documentation time per patient decreased 37% (from 5:36 to 3:18), 99% of physician notes used the new AI-enabled workflows by April 2026, and nursing staff reduced active EHR time by 6% per patient.
AtlantiCare· United StatesOracle Health Foundation EHR · Oracle Health Emergency Medicine · Oracle Health Clinical AI AgentCosmo Fuels Digital Transformation With Databricks
Cosmo Energy chose the Databricks Data + AI Platform to unify siloed data, strengthen governance and enable AI-driven insights that improve customer engagement, operational efficiency and security, launching frontline analytics, predictive customer services and digital twin projects. The company trained 980 employees in data utilization in two years, surpassing its three-year goal.
Vizient Advances Healthcare With GenAI
Vizient drives healthcare performance improvement by unifying and analyzing clinical and operational data on the Databricks Data + AI Platform. GenAI augments years of data science, enabling industry-specific insights at scale, giving clinicians and leaders accessible analytics tailored to unique terminology and codes.
Transforming Weather Forecasting with Lakeflow Jobs
AccuWeather migrated from on-premises infrastructure to Databricks and Lakeflow Jobs, working with Datadog for observability, to unify diverse weather data formats and orchestrate 4,500+ weekly jobs. Lakeflow Jobs coordinates the ingestion of multiple weather models, triggers machine learning processes that weight and blend different forecasts, and manages complex job dependencies for reinforcement training workflows used in AccuWeather's proprietary forecasting engine. AccuWeather reports 3x faster dataset development (three months to one month per dataset), a 50% reduction in unactionable alerts, and 50% cost savings on serverless job usage.
AccuWeatherLakeflow Jobs · Delta Sharing · DatadogTransforming Data Pipelines to Power Faster Credit Decisions
Capital One's data and engineering teams built a centralized Feature Hub on Databricks, using Photon as the compute engine and Delta Lake as the foundation, to serve as a single environment for historical and operational feature pipelines supporting its credit line increase program and credit decisioning models. The hub curates records across millions of accounts to provide a unified customer view for both modeling and daily decisioning. Capital One reports 60x faster compute performance for large-scale backfills and an 80% decrease in time and cost per job after migrating production pipelines to Databricks, shortening feature development and deployment from prior timelines to weeks.
Capital OnePhoton · Delta LakeDe Agostini automates invoice processing with SAP Document AI
De Agostini Publishing uses SAP Document AI to automate purchase order and invoice processing. The company now saves around 500 hours per month, and more than 91 percent of purchase order-referred invoices are automatically processed without manual handling.
De AgostiniSAP Document AIMartur Fompak International Boosts Throughput and Efficiency with Intelligent Robotics Enabled by Joule and Embodied AI
Martur Fompak International, a global automotive seating and interior systems manufacturer, deployed an autonomous intralogistics model using SAP's Joule solution and embodied AI capabilities, partnering with UK-based robotics company Humanoid. Built on SAP S/4HANA and SAP Extended Warehouse Management, the system gives humanoid robots and autonomous mobile robots real-time knowledge of tasks, storage locations, sequencing and production priorities, letting them identify, transport and deliver materials to the production line while continuously confirming actions back into SAP systems. The company has 400 daily production line feeds with 100% SAP software-driven decision making. Early results show increased throughput and fewer errors, with a future target of up to five times greater work efficiency for mass production. Martur Fompak International was named sole winner in the AI Excellence category at the 2026 SAP Innovation Awards.
Austrian Academy of Sciences unlocks Ancient Greek with Mistral
The Austrian Academy of Sciences (OeAW), together with its Austrian Archaeological Institute, partnered with Mistral and services partner Reply to build Apollo, described as the first advanced large language model for Ancient Greek. Apollo is trained on a specialized corpus of 600 million words of historical Greek text plus tens of thousands of published inscriptions and papyri, helping researchers reconstruct damaged texts and identify thematic connections across collections. The OeAW reports Apollo turns work that once took years into hours, addressing over one million unread Greek papyri worldwide, with future phases planned for semantic search and handwritten inscription decipherment.
Austrian Academy of Sciences· AustriaMistralHow Bouygues Construction Drives Sustainable Building Innovation With Digital Twins
Bouygues Construction, a global construction and infrastructure company based in France, built custom digital twin applications on NVIDIA Omniverse using the OpenUSD framework to unify 3D data from Revit, SolidWorks, and Cesium into a single collaborative environment. Using NVIDIA Isaac Sim, the company generates photorealistic synthetic training data for AI-based computer vision models covering rare or hazardous jobsite scenarios, and uses NVIDIA RTX PRO GPUs for real-time ray tracing. The approach delivered a 5x improvement in data integration speed and enabled safer job site planning through AI-driven construction site simulations and predictive scenario testing.
BNP Paribas: Transforming banking and empowering global employees with AI
BNP Paribas, the European Union's leading bank, has been leveraging Mistral AI's models for Global Markets use cases since Q3 2023, yielding positive results. BNP Paribas decided to expand its collaboration with Mistral to the whole group for 2024, with plans to explore Mistral's models on a broader range of use cases across its businesses.
BNP ParibasMistral AIFrance Travail's ChatFT AI Assistant Reaches Nearly 40,000 Agents as It Partners With Mistral AI
France Travail, France's public employment agency, has deployed several generative AI tools for its staff and job seekers. ChatFT, a generative AI assistant that reduces time agents spend drafting documents, has been in direct access for all France Travail employees since November 2024 and now has close to 40,000 agent users, more than 50% of France Travail's workforce. MatchFT helps advisers pre-select candidates through a guided conversation and contacts pre-selected candidates by SMS about a job offer. Neo, a module of ChatFT launched in October 2024, lets agents query France Travail's information system in natural language; it was tested in six agencies in Centre-Val de Loire plus roughly 120 volunteer users in La Réunion, and since April 15, 2025 has been progressively rolled out to four regions (Centre-Val de Loire, Pays de la Loire, La Réunion, Provence-Alpes-Côte d'Azur). On June 11, 2025 France Travail signed a partnership with Mistral AI: MatchFT and Neo already use Mistral models, with a goal of using Mistral 100% for these two tools by the end of 2025. France Travail also built a 'Calendrier de l'IA' AI-literacy program with Kokoroe and Microsoft, aiming to train 300,000 job seekers by the end of 2025.
France Travail· FranceChatFT · MatchFT · Neo +2CMA CGM Group deploys MAIA, an agentic AI platform co-developed with Mistral AI, across shipping, logistics and media operations
CMA CGM Group, in a five-year strategic partnership with Mistral AI signed in April 2025 that has embedded around twenty Mistral AI engineers in CMA CGM teams in Marseille and at CMA Media's headquarters, will progressively roll out 'MAIA, Powered by Mistral' starting June 1, 2026 -- an agentic AI platform designed to support nearly 80,000 employees across CMA CGM, CEVA Logistics and CMA Media. MAIA enables the development and orchestration of AI agents connected to business knowledge and internal applications, supporting content generation, document analysis, administrative task automation, and decision support. The Group has already deployed more than 55 AI projects and identified over 200 AI use cases, including AI-assisted agents that handle customer tracking and operational queries (escalating complex cases to humans) across more than 54 million customer requests a year, ETA prediction, smart booking and smart pricing, smart cargo release, vessel routing and energy-consumption optimization, demand and volume forecasting, and CEVA Logistics' 'smart labor' warehouse planning tools.
CMA CGM GroupMAIA · Mistral AI · Microsoft CopilotDeutsche Telekom Launches Industrial AI Cloud, One of Europe's Largest AI Factories, in Munich
Deutsche Telekom officially launched its Industrial AI Cloud in Munich's Tucherpark, a sovereign AI factory built over six months with NVIDIA and data center partner Polarise on nearly 10,000 NVIDIA Blackwell GPUs (including DGX B200 systems and RTX PRO Server GPUs), delivering up to 0.5 ExaFLOPS of computing power operated under German data protection, security and availability requirements. The factory is already operating at over a third of its capacity, with existing customers including Munich-based robotics company Agile Robots and engineering simulation firm PhysicsX. It underpins the 'Deutschland Stack' built with SAP (T-Systems providing infrastructure/platform, SAP providing Business Technology Platform and AI applications), and hosts the SOOFI (Sovereign Open-Source Foundation Models) research project, in which Leibniz Universität Hannover contracted Deutsche Telekom to provide infrastructure for training a sovereign, European-language-focused open-source LLM with around 100 billion parameters.
Deutsche Telekom· GermanyNVIDIA Blackwell GPUs · NVIDIA DGX B200 · NVIDIA RTX PRO Server +1Digital Bank Debunks Financial Fraud With Generative AI
European neobank bunq, with more than 12 million customers and 8 billion euros of deposits, built an automated, AI-powered transaction-monitoring system to detect fraud and money laundering, replacing labor-intensive rules-based systems with supervised and unsupervised learning. Using NVIDIA GPUs, bunq accelerated its data processing pipeline more than 5x and, using the open-source NVIDIA RAPIDS suite of GPU-accelerated data science libraries, trained its fraud-detection model nearly 100x faster, improving model accuracy and reducing false positives. Bunq is also exploring NVIDIA NeMo Retriever, part of NVIDIA NIM inference microservices, to improve the accuracy of Finn, its personal AI assistant powered by a proprietary large language model.
bunqNVIDIA GPUs · NVIDIA RAPIDS · NVIDIA AI Enterprise +2TotalEnergies builds Pangea 5 supercomputer with Dell Technologies and NVIDIA
TotalEnergies is building Pangea 5, a next-generation supercomputer developed with Dell Technologies and NVIDIA that will increase the company's computing power to support seismic imaging, advanced simulation and AI-driven research in the energy sector.
TotalEnergies· FrancePangea 5City of Edinburgh Council cuts translation costs by 90% using Amazon Translate with AWS Partner City Trax
The City of Edinburgh Council, which provides services to over 500,000 residents including more than one in five who speak English as a second language, worked with AWS Partner City Trax to deploy an AI-powered document translation solution using Amazon Translate inside the council's secure AWS environment, with data residing in the UK to meet public sector data compliance standards. City Trax implemented the solution in 10 days, and within weeks 16 members of the customer services team were using it to translate documents into 75 languages within minutes. The council reduced translation costs from as much as £55 per document to £0.07, saving around £39,000 in fees within 10 months of going live, and cut translation delivery times from one week to 24 hours. Human translators still handle documents relating to legal processes as required by UK law.
City of Edinburgh Council· United KingdomAmazon TranslateBMW Group builds plant-scale digital twins with NVIDIA Omniverse, cutting vehicle aerodynamics simulation time 30x
BMW Group is building digital twins of its production facilities using NVIDIA Omniverse libraries, letting global production planning teams collaborate in real time, optimize the layout and design of complex manufacturing systems, and develop autonomous robot and vision AI applications prior to real-world deployment. Working with Siemens, BMW is also accelerating simulation of vehicle aerodynamics: tests on NVIDIA Grace Blackwell and CUDA-X-accelerated Simcenter Star-CCM+ software showed a 30x speedup for transient aerodynamics simulations of entire vehicle geometries, while reducing energy consumption and costs.
BMW GroupNVIDIA Omniverse · NVIDIA Grace Blackwell · NVIDIA CUDA-X +1Kellogg Community College's admissions AI achieves 94% model-to-human agreement using Element451 Bolt Agents
Kellogg Community College used Element451's Bolt Agents to perform rubric-based first reads of admissions applications with human-readable rationales, achieving 94% model-to-human agreement and flagging 186 fraudulent applications in one week. The agent reads applications, verifies documents, scores based on institutional rubrics, and routes files for human review.
Kellogg Community College· United StatesElement451 Bolt AgentsHow Schibsted's AI model helped boost subscription sales
Schibsted developed a machine learning model to serve personalized subscription-sales recommendations to anonymous, non-logged-in front-page readers, using first-party demographic data (age/gender predictions from advertising) and sales insights to generate real-time, on-demand recommendations rather than batch processing. Of 158 candidate data points tested, around a dozen were retained as model features. A/B tests showed a 75 percent increase in subscription sales from front-page articles compared to previous models. The system is integrated with Schibsted's Curate content recommendation platform, using Flyte for orchestration and AWS DJL for model inferencing, and the team is transitioning to Tecton as a managed feature store.
SchibstedFlyte · AWS DJL (Deep Java Library) · TectonAramco's GenAI Foundation helps streamline upstream operations
Aramco built its GenAI Foundation, a strategic platform using generative AI across upstream technologies, on Red Hat OpenShift to centralize resources, streamline operations, and reduce costs at its Upstream Digital Center. The platform uses Red Hat OpenShift's containerized and microservices architecture and built-in observability tools to develop, deploy, and integrate large language models, and Red Hat Ansible Automation Platform to manage and configure virtual machines, reducing deployment times from weeks to hours. Drill and plant engineers complete tasks 10 times faster using AI to automate repetitive processes like data analysis, with each engineer and data scientist saving around 2 hours daily. The platform allows onboarding gen AI models in under an hour.
Aramco· Saudi ArabiaRed Hat OpenShift · Red Hat Ansible Automation PlatformVirtual Human Meets Virtual Studio: AI Powers Text-To-Video for Broadcast
Hour One built the self-service platform Reals, which lets broadcasters automatically turn text into fully-produced videos with lifelike virtual presenters and virtual sets, accelerated by NVIDIA GPUs, CUDA and cuDNN. Customers include Berlitz, NBC Universal and DreamWorks. German sports site RAN used Hour One's 3D templates to create an immersive Sports News video series, and 24-hour broadcaster DeFiance Media built its own virtual news anchor, Raxana, using Hour One's platform.
Hour OneNVIDIA CUDA · NVIDIA cuDNN · NVIDIA RTXDarrow raises $35M for an AI that parses public documents for class action lawsuit potential
Darrow, a legal tech startup founded in 2020, built an AI-based data engine that crawls thousands of sources of publicly available information (newsfeeds, social media, consumer complaints, regulatory filings, SEC filings, environmental reports, court dockets) to identify class-action litigation potential in areas such as data privacy violations, environmental contamination, and discrimination, and to predict likely legal outcomes and case value. A team of legal data specialists, including former lawyers, reviews the AI-surfaced insights before lawyers use the platform for case review and discovery. Around 50 law firms, covering hundreds of lawyers, were using the product, and active cases stemming from Darrow's data insights totaled around $10 billion in claims at the time of the funding round.
Ingka Group acquires Locus, an AI-powered logistics software company to transform the IKEA home delivery experience
Ingka Investments, the investment arm of Ingka Group (the largest IKEA retailer), acquired Locus, a USA-based logistics technology company offering an AI-powered logistics management platform with advanced route optimisation, real-time tracking, and smart use of vehicles and resources. The acquisition brings this technology in-house to enhance efficiency across IKEA's supply chain, from capacity management to last-mile execution, at a time when online sales reached 28% of total IKEA retail sales in FY24, up from 11% in FY19. Locus, described as an agentic Transportation Management System battle-tested in 350+ deployments across 30+ countries, will remain operationally independent and continue serving its own enterprise customers beyond Ingka Group.
Ingka Group (IKEA)Locus Transportation Management SystemHow Serve Robotics Achieved 99.8% Success for Last-Mile Autonomous Delivery
Serve Robotics, which spun off from Uber in 2021, operates over 1,000 physical AI-powered sidewalk delivery robots serving over 2,500 restaurants across five cities. Its third-generation robots are simulated in NVIDIA Isaac Sim and powered by NVIDIA Jetson Orin edge AI platforms, achieving a 5x compute improvement over the prior Xavier generation and 12+ hours of battery life. The fleet has completed over 100,000 autonomous deliveries with a 99.8% completion rate, logging about 1 million miles of data monthly (nearly 170 billion image-LiDAR samples) to improve navigation and HD maps. The company plans to deploy 2,000 robots by the end of 2025.
KPMG: Improving project delivery speed with access to SAP software knowledge using SAP Joule for Consultants
KPMG member firms equipped around 7,000 SAP-specialized consultants with SAP Joule for Consultants, a generative AI solution delivered through the Joule copilot, giving consultants natural-language access to SAP's implementation knowledge base instead of manually searching documentation. KPMG also combined the solution with SAP Business Data Cloud to bring together structured and unstructured data from SAP and third-party systems, helping accelerate client research, summarize documentation, and streamline creation of transformation roadmaps and change-impact assessments.
KPMGSAP Joule for Consultants · SAP Business Data Cloud · SAP Business Technology PlatformAI-Media and ITV Announce Landmark Partnership to Revolutionize Captioning Services
ITV, the UK's largest commercial broadcaster, partnered with AI-Media to deploy its LEXI live automatic captioning solution across ITV's broadcast network, including its 18 regional news variants, using AI-Media's SDI Encoder Pro Cards to deliver captioning as VANC embedded data, plus AI-Media's Alta product for ITVX and other IP video workflows. The shift from a manual regional-news captioning workflow to LEXI's automated system is expected to significantly reduce staffing requirements and costs while enabling more captions, increased reliability and reduced latency; ITV's captioning team continues to develop bespoke topic models to maintain accuracy.
ITV· United KingdomAI-Media LEXI · AI-Media SDI Encoder Pro Cards · AI-Media Alta
Vambe Powers Conversational Commerce Across Latin America with Claude
Vambe, a Chilean startup, built a conversational AI platform on Claude that automates sales conversations, lead qualification, and transactions for over 1,500 mid-sized businesses across Latin America via WhatsApp and Instagram. With Claude, Vambe achieved 95%+ multi-agent reliability (up from 30% with previous models), 40-60% higher conversion rates versus previous sales processes, 60% reduction in healthcare clinic no-shows, customer onboarding time reduced from 7 days to 3 days, and engineering debugging time dropped from 40% to 10% of workload, freeing 120 hours per month. AI-to-AI handoff reliability improved to over 95%, and average agents per platform increased from 1.0 to 2.3.
Lloyds Banking Group's Pioneering Use of AI at Scale Transforms Employee Experience and Operations
As part of a £4bn technology investment, Lloyds Banking Group rolled out Microsoft 365 Copilot starting with 300 licences via Microsoft's Early Access Program, scaling to a commitment of 40,000 licences by March 2025. A 1,000-strong network of volunteer 'flight-instructors' and weekly 'promptathons' supported adoption, reaching a 93% daily usage rate among licensed colleagues. Nearly 5,000 UK engineers use GitHub Copilot; one team converted 11,000 lines of code across 83 files, cutting a 65-hour task to 30 hours.
Lloyds Banking Group· United KingdomMicrosoft 365 Copilot · GitHub CopilotLa Poste Empowers the Employee Experience with Microsoft 365 Copilot
La Poste, the French national postal operator with 233,000 employees, began deploying Microsoft 365 Copilot in 2023 to an initial group of 300 users, expanding to 2,000 across roughly fifteen job functions including HR, legal, marketing and communications. Employees use Copilot to summarise meetings, draft briefing notes, simplify legal documents, compare contracts, and generate social media content. The deployment was supported by partner Wavestone and a network of local ambassadors. 95% of employees want to keep their Copilot licenses.
La Poste· FranceMicrosoft 365 Copilot · Microsoft 365 · Microsoft CopilotING Bank transforming operations through agentic AI
ING Bank is running multiple AI projects across operations, governed centrally under its COO. Live/early-production efforts include a retail chatbot, AI-driven identification of hidden affluent clients for marketing, AI-assisted transaction monitoring that helps investigators close standard alerts faster and focus on risk, and a customer due diligence (KYC) redesign that uses existing public and behavioural data to auto-answer most of a roughly 100-question review, cutting due diligence from days or weeks to seconds. ING is also developing agentic AI to handle mortgage applications end-to-end (credit checks, data collection) starting in 2026. ING's COO said AI introduced to an operations process yields a 25% productivity gain, with freed capacity redeployed to growth and more complex work, and its CTO described 'conservatively aggressive' governance restricting AI exploration to five areas under COO control.
ING Bank· NetherlandsLandmark government trial shows AI could save civil servants nearly two weeks each a year
Over 20,000 UK civil servants trialled Microsoft 365 Copilot for three months, using it to draft documents, summarise meetings, and handle admin tasks. The trial found it saved users an average of 26 minutes per day, equivalent to nearly two weeks per year. At Companies House, staff used Copilot to handle routine customer queries and speed up drafting responses and updating records. At the Department for Work and Pensions, Work Coaches used it to personalise advice for jobseekers.
UK Government (Civil Service)Microsoft 365 CopilotVolkswagen Group Invests up to One Billion Euros in AI
Volkswagen Group announced plans to invest up to one billion euros by 2030 in AI-driven vehicle development, industrial applications and high-performance IT infrastructure, expecting efficiency gains and cost avoidance of up to four billion euros by 2035. More than 1,200 AI applications are already active across the Group. In vehicle development, Volkswagen is building an AI-powered engineering environment with partner Dassault Systèmes to shorten product development cycles to 36 months or less. On the shop floor, the Digital Production Platform connects more than 40 sites with AI applications for production optimization. The Group is also expanding its private cloud infrastructure to keep sensitive data processing within Europe.
Volkswagen Group· GermanyDigital Production Platform (DPP) · Large Industry Model (LIM) · Private cloud infrastructureHow Hibbett Eliminated Out-Of-Stock Roadblocks With Similar Recommendations
Leading athletic-inspired fashion retailer Hibbett drove conversion by 2.4x by integrating Syte's out-of-stock suggestions, using Syte's visual-AI-powered product discovery solution to recommend similar items when a product is unavailable.
AT&T Drives AI Agents' Accuracy, Efficiency, and Performance With NVIDIA
AT&T built 'Ask AT&T' customer service AI agents and worked with implementation partner Quantiphi to use NVIDIA AI Enterprise, NVIDIA NeMo and NIM microservices to build a data-flywheel platform for continuous fine-tuning and evaluation. The pipeline uses NeMo Curator to clean training data, NeMo Customizer to fine-tune base models (Mistral 7B was selected as optimal), NeMo Evaluator to measure performance (Rouge, BERT F1), and NeMo Retriever for up-to-date retrieval, with models deployed as NIM microservices. AT&T reports up to 40% improvement in response accuracy after fine-tuning and an 84% decrease in call center analytics cost, and is collaborating with Arize AI to automate identification of difficult AI interactions.
Shell scales enterprise AI across 100+ applications with C3 AI
Shell has over 100 AI applications in various stages of development and deployment across its upstream, downstream, manufacturing and integrated gas businesses using the C3 AI Platform, including predictive maintenance scaled to 10,000 pieces of equipment. Shell's Real Time Production Optimization solution uses sensor data on pressure, temperature and flow rates to calculate optimum settings, squeezing out an additional 1-2% of LNG production and, at one LNG facility, cutting CO2 emissions by about 355 tonnes a day at full capacity (up to 130 kilotons per year). Shell renewed its strategic C3 AI partnership for five years in June 2021, and in 2021 Shell, C3 AI, Baker Hughes and Microsoft launched the Open AI Energy Initiative, an interoperable ecosystem of AI solutions for the energy industry.
ShellC3 AI PlatformWyndham Hotels & Resorts builds Agentic Enterprise with Salesforce Data 360 and Agentforce
Wyndham Hotels & Resorts, which supports approximately 8,400 properties, used Salesforce Data 360, MuleSoft, Informatica, and Agentforce Service to create Wyndham Reservations Guest 360, a unified real-time guest record giving service reps access to reservation history, loyalty status, preferences, and sentiment plus AI-powered recommendations. Wyndham also launched agentic self-service support for franchise owners through the Wyndham Community online owner portal. Results included a 5% increase in Wyndham Rewards enrollment, 21% faster service conversations year-over-year, 20% autonomous resolution of franchisee inquiries, and a 25% reduction in contact center call volume.
Wyndham Hotels & ResortsSalesforce Data 360 · MuleSoft · Informatica +1Jabil pilots Azure Machine Learning and Project Brainwave for manufacturing visual inspection
Jabil, which provides advanced manufacturing solutions requiring visual inspection of components on production lines, piloted Microsoft Azure Machine Learning and Project Brainwave to improve inspection speed and accuracy, aiming to reduce workload and improve focus for human operators.
JabilMicrosoft Azure Machine Learning · Project BrainwaveDHL Express deploys AI-powered DHLBot sorting robots in Singapore and South Korea
DHL Express introduced DHLBot, an AI-powered robotic arm developed in partnership with Dorabot that automates parcel sortation, installed in Singapore and South Korea. The DHLBot uses 3D and barcode cameras to scan airway bills and intelligently sorts packages into delivery bins by courier route. It sorts over 1,000 small parcels per hour with 99% accuracy, increasing overall operational efficiency by at least 40%.
DHL ExpressDHLBotDatasite's Agentforce resolves 70% of dealmaker chat inquiries autonomously
Datasite, an M&A SaaS platform used by over 1.8 million dealmakers across 180 countries, deployed Salesforce Agentforce to replace its Einstein chatbot for customer chat support. Agentforce pulls answers directly from Datasite's knowledge base of over 2,000 articles, transfers cases to live Assist team members with a chat summary when needed, and understands natural-language queries in multiple languages. Datasite expects Agentforce to resolve 70% of incoming chat queries, 20% more than the prior Einstein chatbot's 50%.
DatasiteSalesforce Agentforce · Salesforce Einstein · Agentforce Agent Builder +1Lightwheel deploys NVIDIA GR00T N1.5 humanoid robots in Geely's live automotive factory using Isaac Sim simulation
Lightwheel built a simulation-first robotics platform on NVIDIA Isaac Sim, Isaac Lab, and NVIDIA Omniverse libraries to address data scarcity and the sim-to-real gap in physical AI development. For Geely, Lightwheel fine-tuned the NVIDIA Isaac GR00T N1.5 vision-language-action foundation model to the Unitree H1 humanoid robot's morphology using simulation-generated synthetic data and DexMimicGen data augmentation, then deployed it in Geely's live automotive factory where robots autonomously perform component transportation, precise part placement on inspection trays, and coordinated dual-arm manipulation for heavy components. The platform achieves a 100:1 simulated-to-real data ratio and reduced development cycles from months to weeks.
GeelyNVIDIA Isaac Sim · NVIDIA Isaac Lab · NVIDIA Omniverse +1Safari365 boosts internal efficiency 30% with Salesforce Agentforce AI agents
Safari365, a bespoke African safari travel company, deployed Salesforce Agentforce AI agents to automate low-value, repetitive tasks such as reconfirming supplier bookings and generating personalized 'day notes' for customer itineraries. The company started with internal-use agents built with human-in-the-loop oversight, iterating using the Agentforce Testing Center. Impact included a 30% increase in internal efficiency, quotes delivered in 30 minutes versus 2-3 manually generated per day previously, and a six-week time-to-value from signing to live deployment.
Eggland's Best drives double-digit online unit sales growth with CommerceIQ AI-powered retail media management
Eggland's Best partnered with CommerceIQ to implement an AI-powered Retail Media Management strategy at one of its largest national retailers, refining advertising bid structures and keyword strategies guided by incremental ROAS (iROAS) metrics. The approach targeted consumers open to upgrading their egg choices and shifted retail media investment from generic keywords to detailed nutrient- and cooking-behavior terms. Results included up to a 33% increase in new customer engagement, high single-digit ROAS, and double-digit growth in online unit sales.
I-MED Radiology implements world-first artificial intelligence solution Annalise CXR
I-MED Radiology Network implemented Annalise CXR, an AI chest x-ray decision-support solution developed by annalise.ai (an I-MED joint venture with Harrison.ai), across its 250 clinics nationwide, used by 350 radiologists daily. Annalise CXR detects 124 clinical findings and was, at launch, proven to improve the accuracy of radiologists in identifying over 100 clinical findings, supporting over 38,000 patient cases per month.
GXO Pilots New AI-Driven Autonomous Vehicle in Warehouse Operations
GXO Logistics deployed its first autonomous industrial truck, powered by KION, at its facility in Épinoy, France, as a live pilot of AI-driven material handling. The pilot is part of a strategic collaboration between KION, NVIDIA and Accenture to bring AI innovation, digital twins and perception technology from simulation into real-world supply chain operations, aiming to show measurable improvements in cost-savings, productivity, operational scalability and safety.
GXO Logistics· FranceNVIDIA Physical AI · KION autonomous industrial truckIDEXX Laboratories cuts contract sanctions review from weeks to 20 minutes with Luminance AI
IDEXX Laboratories used the AI-powered contract automation platform Luminance to review its entire contract database for connections to sanctioned countries and entities following Russia's invasion of Ukraine, completing in 20 minutes a review that would typically have taken weeks manually. Separately, Koch Industries' in-house legal team uses Luminance Corporate to automate generation of NDAs, master service agreements and IT-related contracts, including self-service contract generation for non-legal business units, and Deloitte used Luminance on a project standardizing 4,500 contracts across 14 European entities for client BT in two weeks, estimating a 50% time savings versus manual review.
IDEXX LaboratoriesLuminance
Volvo Autonomous Solutions and DSV launch autonomous freight operations in Texas
Volvo Autonomous Solutions (V.A.S.) and logistics provider DSV began commercial autonomous freight operations between Dallas and Houston, Texas, hauling the first commercial truckload with the Volvo VNL Autonomous truck integrated with the Aurora Driver self-driving system. The Autona/freight solution combines the purpose-built truck with self-driving technology from partners Aurora and Waabi plus fleet management and operations support; a safety driver remains onboard during this initial phase. V.A.S. has logged more than one million autonomous miles in regional and local freight since 2023.
DSV· United StatesVolvo VNL Autonomous · Aurora DriverMichelin runs 200+ AI use cases across manufacturing, supply chain and innovation
French tire manufacturer Michelin has more than 200 AI use cases in production, led by group chief data and AI officer Ambica Rajagopal. Its in-house IRIS system, protected by over 20 patents, partially automates end-of-line visual tire defect inspection to improve inspector efficiency and workplace ergonomics while operators retain final accountability. Machine learning forecasting tools improve demand forecast accuracy and proactively detect stock shortages in the supply chain. Michelin scans the startup ecosystem and uses tools including Databricks and Dataiku, and has partnerships with Microsoft and Rockwell Automation to codevelop AI solutions. The company reports AI-project ROI exceeding €50 million per year, growing 30-40% annually for three consecutive years, governed by an internal data office and responsible-AI principles (people-centric, explainable, accountable).
Michelin· FranceDatabricks · DataikuAXA Switzerland adopts Shift Claims agentic AI to transform claims handling
Shift Technology launched Shift Claims, an agentic AI solution that assesses and prioritizes insurance claims, guides claim handlers, and automates tasks across the claims lifecycle. AXA Switzerland is an early adopter, using it to support claims transformation and increase automation while keeping claims professionals informed for cases requiring human intervention. Shift reports early adopters of Shift Claims see 3% lower claims losses, 30% faster claims handling, a 60% overall automation rate, and greater than 99% accuracy in claims assessment.
AXA SwitzerlandShift ClaimsBasque Government's EJIE builds high-speed AI translation tool on Red Hat OpenShift
EJIE, the Basque Government's IT management arm, built the Itzuli neural translator to translate between Spanish, French, English and Basque, replacing an older grammar-rule-based tool that struggled with long texts. Using Red Hat OpenShift to run GPU-backed containers for the neural translation models, with support from Red Hat Consulting and a Technical Account Manager, EJIE launched general and specialist legal/administrative versions of the tool. Usage grew 300% in three years: from about 2 million quarterly translation requests in early 2020 to over 6.7 million per quarter by August 2023, with peaks over 260,000 queries in a single day and over 30,000 daily users; official-service translation requests fell 40% over the same period as citizens used the self-service tool directly.
EJIE (Basque Government)· SpainRed Hat OpenShift · Red Hat Enterprise Linux · Red Hat Ansible Automation PlatformStripe's ML flywheel cuts successful card-testing fraud attacks by 80%
Stripe built a machine learning-based system to detect and block card testing fraud, applying ML models at three levels of abstraction: overall prevalence estimation, identifying where attacks are occurring, and scoring individual transactions. A rapid data-labeling, retraining and redeployment pipeline, built on Stripe's Shepherd feature-engineering platform (developed with Airbnb) and the Flyte ML orchestration platform, lets the team react to new attack patterns within hours. The system is augmented by a large transformer model trained on billions of global transactions that generates embeddings used across card-testing detection use cases. Successful card-testing attacks on Stripe declined by 80% over two years even as Stripe's payment volume grew past $1 trillion.
StripeShepherd · FlytePMI shifts 88% of phone and email conversations to messaging with LivePerson AI
Project Management Institute (PMI) moved its customer support model from phone and email to digital messaging channels using LivePerson's Conversational Cloud platform, reaching 88% of conversations on messaging channels. PMI's virtual assistant handles approximately 38% of incoming chats and logged 1.5 million interactions, while LivePerson's Copilot auto-suggests agent responses and summarizes conversations. Web messaging conversations grew 24% year-over-year to about 568,000 in 2023, and conversational AI's share of support volume rose from 4% in 2021 to 28.5% in 2024.
Project Management Institute (PMI)LivePerson Conversational Cloud · LivePerson AI Studio · LivePerson CopilotMarsh McLennan saves over 1 million hours with agentic AI assistant LenAI
Professional services firm Marsh McLennan built LenAI, an AI assistant now used by its roughly 90,000 employees for around 20 million requests annually. To fix intent-recognition problems in the original GPT-3.5-based assistant, Marsh McLennan worked with Predibase to fine-tune a Llama-3.1-8B-Instruct model using LoRA and Turbo LoRA, improving accuracy by 10-12% over GPT-3.5 and 7% over GPT-4o-mini, and cutting response time below 4 seconds. Since its December 2023 launch, LenAI has handled over 25 million cumulative queries and saved more than 1 million hours of team time in its first year.
Marsh McLennanPredibase · Llama 3.1-8B-Instruct · LoRA +1UVeye uses vision language models to detect vehicle defects at scale
Automated vehicle-inspection company UVeye processes over 700 million high-resolution images each month and applies vision language models to convert this visual data into structured condition reports, detecting subtle defects, modifications or foreign objects. UVeye detects 96% of defects compared with 24% using manual inspection methods.
UVeyeVision Language Models (VLMs)Open Universities Australia triples lead qualification with generative AI agents
Open Universities Australia (OUA) used LivePerson's AI Studio to build an LLM-powered generative AI agent that handles initial prospective-student inquiries, replicating the conversational style of human advisors. The agent achieved 3x lead qualification rates compared to self-searching students and 2x compared to OUA's prior scripted chatbot, with an average response time of 6.3 seconds versus roughly 2 minutes for human advisors.
Open Universities Australia· AustraliaLivePerson AI StudioDHL and Locus Robotics reach one billion warehouse picks milestone
Warehouse robots deployed by DHL Supply Chain and Locus Robotics completed their one billionth warehouse pick. Thousands of autonomous mobile robots operate in more than 40 DHL-managed facilities worldwide, coordinated through Locus Robotics' warehouse execution platform. DHL reports 30-180% increases in units picked per hour and an 80% reduction in training time for warehouse staff, and has an expanded agreement to deploy 5,000 AMRs globally.
DHL Supply ChainLocus Robotics warehouse execution platformNPG launches AI-powered 'Frag Mich' article chat for subscribers
Neue Pressegesellschaft (NPG), publisher of Südwest Presse, Märkische Oderzeitung and Lausitzer Rundschau, launched 'Frag Mich', a question-answering chat feature built with AI vendor Retresco. Subscribers can ask free-form questions about current and archived articles; a RAG system answers using only editorially reviewed content and cites sources.
Neue Pressegesellschaft (NPG)· GermanyRetresco RAG platformFastweb + Vodafone: Transforming Customer Experience with AI Agents using LangGraph and LangSmith
Fastweb + Vodafone, part of the Swisscom Group and one of Europe's leading telecommunications providers serving millions of customers across Italy, built two AI agent systems on LangChain and LangGraph. Super TOBi transforms its existing chatbot TOBi into an agentic system using a Supervisor agent (for routing and guardrails) and specialized Use Case agents following the LLM Compiler pattern to call customer APIs and execute transactional actions like offer activation or payment updates. Currently serving nearly 9.5 million customers through the Customer Companion App and voice channels, Super TOBi achieves a 90% correctness rate, an 82% resolution rate, and a Customer Effort Score of 5.2 out of 7. Super Agent is an internal tool that augments call center consultants with diagnostics and guidance, storing operational knowledge as a graph in Neo4j and using an automated ETL pipeline with LangGraph and LLM agents to convert business-authored procedures into the knowledge graph; it has driven One-Call Resolution rates above 86%. The company uses LangSmith for observability, daily automated evaluation of chatbot responses, and continuous improvement.
United Imaging Healthcare Enhanced the Speed and Quality of MR Imaging
United Imaging Healthcare worked with NVIDIA since 2018 to accelerate its magnetic resonance (MR) imaging products with AI, developing an AI-assisted compressed sensing (ACS) technology to speed up MR image acquisition and reconstruction. Using NVIDIA data center GPUs, the CUDA Toolkit, cuSolver matrix computation library, and NVIDIA AI Enterprise software (with support from NVIDIA DevTech engineers and solution architects), United Imaging Healthcare reduced image reconstruction time by nearly 95%, with NVIDIA's support teams further accelerating algorithms by an additional 3x, on top of an initial 10x increase in computational speed from a tailored algorithm.
United Imaging Healthcare· ChinaNVIDIA data center GPUs · NVIDIA CUDA Toolkit · NVIDIA cuSolver +1Delivering more for our riders in a year of incredible growth
Waymo's autonomous ride-hailing service scaled significantly in 2025, beginning to serve over 1 million fully autonomous rides every month starting that spring, and serving over 14 million trips in 2025 alone (more than tripling public rides from the prior year), putting it on track to exceed 20 million lifetime trips by year end. Riders spent over 3.8 million hours in Waymo vehicles. The all-electric fleet helped riders avoid over 18 million kilograms of CO2 emissions, 3x more than the prior year, while achieving more than a 10-fold reduction in serious injury or worse crashes compared to human drivers. Waymo plans to expand ride-hailing operations to over 20 additional cities in 2026, including international cities like Tokyo and London, and is expanding freeway riding and airport service (San Jose Mineta, San Francisco International, and Miami International airports).
WaymoWaymo DriverCoca-Cola brings its iconic Santa into the future with an AI-powered avatar
Coca-Cola created an AI-powered avatar of its iconic Santa character that talks with consumers in real time, using Microsoft Foundry, Azure Speech in Foundry Tools, and Azure Cosmos DB. The avatar launched in 26 languages and spread across 43 countries, generating over 1 million consumer engagements.
Coca-ColaMicrosoft Foundry · Azure Speech in Foundry Tools · Azure Cosmos DBTawuniya transforms CX with unified customer intelligence
Tawuniya Insurance, the largest insurer in the MENA region by gross written premium, implemented Sprinklr Service and Sprinklr Insights to unify customer conversations, sentiment, and service operations from social media, messaging, and other digital channels onto a single platform. The company used sentiment analysis to turn customer feedback into actionable insights and automated key elements of the customer service journey including routing, queue management, and customer communications. Results: 158% improvement in First Contact Resolution (from 31% to 80% within 90 days), a 32-point increase in CSAT (from 51 to 83), and average response times reduced from 45 minutes to 56 seconds.
Foxconn Develops Physical AI-Enabled Smart Factories With Digital Twins
Foxconn (Hon Hai Technology Group) uses physically accurate digital twins integrating NVIDIA Omniverse libraries and OpenUSD to design, deploy, and manage high-volume production facilities, including those producing NVIDIA GB200 Grace Blackwell Superchip systems. Its Fii Omniverse Digital Twin (FODT) platform creates virtual replicas of factories, enabling simulation-driven design, real-time monitoring, and optimized operations. Using NVIDIA PhysicsNeMo AI models, Foxconn achieves 150x faster computational fluid dynamics simulations for thermal analysis (minutes vs. hours). Standardized OpenUSD-based digital twin assets enable rapid migration of entire production lines between global factories (e.g., Taiwan to Mexico). Robot workcells and AGV logistics are simulated in FODT before physical deployment: complex robotic tasks such as screw tightening and cable insertion are simulated and refined with NVIDIA Isaac Sim, Isaac Lab, FoundationPose models, and NVIDIA cuMotion, while AGV path is optimized by connecting simulations with Material Control Systems and NVIDIA cuOpt. Foxconn also built video analytics AI agents with NVIDIA Metropolis and the NVIDIA AI Blueprint for video search and summarization to monitor factory floors, and developed FoxBrain, an AI platform powered by NVIDIA NeMo trained in four weeks, described as Taiwan's first large language model with advanced reasoning capabilities. Leo Guo, General Manager of Fii Robotic Group, said the company believes it can cut factory setup and planning time by about 50%.
Foxconn (Hon Hai Technology Group)NVIDIA Omniverse · OpenUSD · NVIDIA PhysicsNeMo +5Driving manufacturing excellence at dsm-firmenich with AI and standardized PI Server data
dsm-firmenich implemented AVEVA PI Server and Asset Framework globally to establish an Operations Data Layer (ODL), a standardized data platform supporting 3,500 users, using the OEE (Overall Equipment Effectiveness) KPI to drive business value. Process data from the PI Server is contextualized in Shiftconnector plant process management to help manufacturing teams drive continuous improvement in batch and continuous operations, from active ingredients manufacturing to filling and packing lines. Collected and contextualized performance data preserves operational knowledge, which can then be accessed through an AI copilot supporting industrial workers in troubleshooting, root cause analysis, and onboarding new workforce.
dsm-firmenichAVEVA PI Server · AVEVA Asset Framework · AVEVA ShiftconnectorHow Schiphol is leveraging tech, design, data and AI-powered intelligence to redefine airport capacity and flow management
Royal Schiphol Group built in-house AI-powered tools — Dynamic Time Slots, (Passenger) Flow Balancing, and Gate Planning Insights — to align passenger demand with security and gate capacity. Dynamic Time Slots lets passengers pre-book security check times, steering an average of 7.5% of passengers away from peak moments (up to 22% on critical days), with 99.6% of passengers waiting under 10 minutes. Flow Balancing uses real-time sensor data, predictive models and simulation (a digital twin) to steer passenger groups, preventing over 4,000 minutes of crowding in 2024. Gate Planning Insights uses machine learning to optimise gate stand planning and turnaround operations. Overall passenger satisfaction score is 4.4 out of 5.
Royal Schiphol GroupDigital Twin Simulation · Private 5G Network · Real-time Sensor DataPony.ai Realizes Gen-7 Robotaxi City-wide Unit Economics Breakeven
Pony.ai's Gen-7 Robotaxi reached city-wide unit-economics breakeven in Guangzhou in November 2025, with daily average orders per vehicle reaching 23, following official launch of fully driverless commercial Robotaxi operations in Guangzhou, Shenzhen and Beijing. The company operated 961 Robotaxi fleet vehicles (667 Gen-7 units) as of November 23, 2025, targeting 3,000+ vehicles by end of 2026, and reported an additional 20% reduction in Gen-7 autonomous driving kit bill-of-materials costs for 2026 production versus the 2025 baseline. Robotaxi services revenue grew 89.5% year-over-year in Q3 2025, with fare-charging revenue up over 200%.
Pony AI Inc.PonyWorld · Virtual DriverHyundai Capital America: Transforming customer experience with messaging innovation
Hyundai Capital America (HCA), the finance arm of Hyundai Motor Group for Hyundai, Kia and Genesis leases and loans in the US, partnered with LivePerson starting from a 2018 proof of concept to shift from a voice-dominated contact center to a data-driven, messaging-first strategy across SMS and Apple Messages for Business. Using deflection-to-messaging on high-friction payment interactions, HCA achieved 94% customer satisfaction, an 89% containment rate, and grew messaging engagement from 10,000 to over 100,000 customers served monthly. HCA and LivePerson co-developed a PCI-compliant chatbot debit card payment integration with payment processor ACI.
C.H. Robinson Scales Fleet of AI Agents Past 30
C.H. Robinson has deployed more than 30 proprietary AI agents at scale across its global logistics network, spanning the shipment lifecycle from quoting to tracking. The agents have automated over 3 million shipping tasks and contributed to a 30% increase in productivity since 2023. Named agents include a Quoting Agent (32-second price quotes, 1M+ quotes), an Orders Agent (processes 5,500 truckload orders/day, saving 600 labor hours daily), an LTL Classifier Agent (75%+ of LTL orders automated, up from 50%), an Appointments Agent (3,000+ appointments/day across 43,000 locations), a Truck Posting Agent, and a Shipment Tracking Agent.
C.H. RobinsonProprietary Large Language ModelsHow Walmart Achieved Enterprise Transformation Through Digital Experience Innovation
Working with implementation partner Nativa on LivePerson's technology, Walmart customized and integrated conversational technology into its WhatsApp channel, including a FAQ-Transactional Bot to streamline searches, inquiries and purchases. The solution delivered a 60% increase in productivity and a 10 percentage point improvement in CSAT/NPS, along with operational savings through automated customer service processes.
WalmartLivePerson · WhatsAppCapitec Bank scales conversational banking on WhatsApp with LivePerson
Capitec Bank, one of South Africa's largest retail banks, worked with LivePerson to bring banking services onto messaging platforms like WhatsApp, so clients did not need to delete banking apps to save phone storage. Capitec's client base grew from 16 million to 22 million, it handled 15 million client conversations in 2023 (7 million via WhatsApp), and it deployed LivePerson's Generative Insights and Agent Assist tools to help staff manage a larger volume of interactions, reporting 78% CSAT and 71% first contact resolution.
Capitec Bank· South AfricaWhatsApp · LivePerson Generative Insights · LivePerson Agent AssistHow Salesforce Deployed Agentforce to Answer Questions and Capture Leads on Their Website
Salesforce deployed Agentforce, agentic AI powered by Data 360, on salesforce.com to answer visitor questions instantly, grounded by more than 2,000 web pages and 400 product records, and to capture leads for Sales Cloud when visitors want to talk to sales. Since launching in February 2025, Agentforce has handled over 100,000 conversations, supports 11 languages, generated more than 30,000 new leads, and reduced time to qualify opportunities by 40% year over year.
SalesforceAgentforce · Data 360 · Sales Cloud +2Investec bankers save 200 hours a year with Microsoft Copilot for Sales
Investec, an international bank and wealth manager, was the first Microsoft customer to go live in production with Microsoft Copilot for Sales, rolling it out to 900 bankers in the UK. Copilot generates client history summaries and AI-powered email drafts inside Outlook and Teams, saving roughly 200 hours a year across the bank and shaving about 10 seconds off each post-call CRM update. Investec is extending the rollout to 700 bankers in South Africa.
Bayer uses generative AI and machine learning to speed crop breeding and agronomy
Bayer uses AI and data science across its agriculture business. Its precision breeding platform, combining machine learning and digital twin technology, has cut a breeding cycle from five to six years down to four months. Bayer trained a large language model called E.L.Y. on internal agronomy data to answer farm management questions, and uses AI models to guide planting density and irrigation decisions on its own seed-production fields, increasing field productivity by over 30%; it also offers AI-powered seed scripts and planting-density recommendations to growers through its FieldView digital farming platform, which manages more than 220 million acres in over 20 countries.
BayerDigital twin technology · E.L.Y. (large language model) · CropKey +2Hyundai Motor Group builds NVIDIA Blackwell AI factory for mobility and smart factories
Hyundai Motor Group is building an AI factory using 50,000 NVIDIA Blackwell GPUs to train, validate and deploy AI for in-vehicle systems, autonomous driving, smart factories and robotics. The collaboration includes an approximately $3 billion investment with the Korean government to build a national physical AI cluster, an NVIDIA AI Technology Center and Hyundai's Physical AI Application Center. Hyundai is exploring using NVIDIA Omniverse and Cosmos on RTX PRO Servers for factory digital twins, and using NVIDIA DRIVE AGX Thor running DriveOS for driver-assistance and in-vehicle AI.
Hyundai Motor Group· South KoreaNVIDIA Blackwell GPUs · NVIDIA Omniverse · NVIDIA Cosmos +6Nexo resolves 62% of customer inquiries with Salesforce Agentforce
Digital assets wealth platform Nexo deployed Salesforce Agentforce across its app and website to handle more than 20,000 complex customer inquiries a month requiring real-time financial data and jurisdiction-specific knowledge. Agentforce now autonomously resolves 62% of cases, saving 2,600 hours of manual work, and hands off unanswerable questions to human reps. Nexo built separate global and UK sandboxes to test jurisdictional compliance and created a custom object to translate crypto-specific terms for regulatory accuracy.
NexoSalesforce Agentforce · Salesforce Headless 360 platformWelt TV launches AI-generated news show with a synthetic avatar presenter
Welt TV, owned by Axel Springer, launched a five-minute AI-generated news programme hosted by a synthetic avatar modelled on reporter Paul Klinzing. Around 90% of the programme, including topic selection and scriptwriting, is produced using AI. Axel Springer has also rolled out WELTgo!, a GPT-based assistant for subscribers, and uses AI to repurpose older broadcasts for new platforms.
Axel Springer (Welt TV)WELTgo!Phagos uses generative AI on AWS to match bacteriophages to bacterial infections
Phagos, a Paris-based biotech startup, uses generative AI models built with Amazon SageMaker AI to match bacteriophages to target bacteria for phage therapy, replacing a manual trial-and-error process. The AI models cut wet-lab testing needs by 50% and reduced phage-candidate screening time by 99.5%, from 29 hours to 10 minutes per bacteria. Phagos has treated more than half a million animals in France and can now develop a new treatment in two months versus 10+ years for traditional antibiotic development.
Phagos· FranceAmazon SageMaker AI · Amazon EC2 · Amazon S3 +1Mayo Clinic deploys NVIDIA DGX SuperPOD to accelerate pathology foundation models
Mayo Clinic deployed an NVIDIA DGX SuperPOD with NVIDIA DGX B200 systems to support foundation model development for pathomics, drug discovery and precision medicine. In partnership with Aignostics, Mayo Clinic built the Atlas pathology foundation model, trained on more than 1.2 million histopathology whole-slide images. The new infrastructure is reducing four weeks of pathology slide analysis work to one week.
Mayo Clinic· United StatesNVIDIA DGX SuperPOD · NVIDIA DGX B200 · NVIDIA BlackwellSpotlight: Qodo Innovates Efficient Code Search with NVIDIA DGX
Qodo, a multi-agent code integrity platform, built its AI agents on retrieval-augmented generation powered by a state-of-the-art code embedding model trained on NVIDIA DGX. Qodo fine-tuned two embedding models, Qodo-Embed-1-1.5B and Qodo-Embed-1-7B (based on Qwen), achieving state-of-the-art accuracy on the Hugging Face MTEB CoIR leaderboard in their size categories. In a collaboration with NVIDIA, Qodo's code indexer, RAG retriever, and embedding model were substituted into NVIDIA's internal RAG solution (Genie) for searching private code repositories, integrated into NVIDIA's internal Slack system, yielding more detailed and accurate responses to technical questions from expert C++ developers than the original pipeline, evaluated using Ragas-generated synthetic questions against RTXDI, RTXGI and RTXPT SDK repositories.
Najm's Customer Experience Transformation with WhatsApp
Najm, a motor vehicle insurer in Saudi Arabia, partnered with BAB, LivePerson's local Saudi partner, to transform customer support from voice-only to AI-powered chatbots on WhatsApp, including IVR deflection to WhatsApp. The transformation reduced response times from three hours to 15 minutes, cut contact center costs by 60%, and now handles 250,000 conversations per month, with 40% of conversations occurring on WhatsApp/messaging versus phone.
BMW Group deploys humanoid robots in production with Hexagon and Figure AI
BMW Group carried out an initial test deployment of Hexagon's humanoid robot AEON at its Leipzig, Germany plant in December 2025, part of a phased program with a further test deployment planned for April 2026 ahead of the actual pilot phase starting summer 2026. This follows an earlier, successfully completed pilot with Figure AI's Figure 02 robot at BMW's Spartanburg, USA plant: over ten months, Figure 02 worked ten-hour shifts five days a week, supporting production of more than 30,000 BMW X3 vehicles by removing and positioning sheet metal parts for welding, moving more than 90,000 components across roughly 1.2 million steps and 1,250 operating hours. BMW created a new 'Center of Competence for Physical AI in Production' to evaluate and scale humanoid robotics -- combining digital AI agents with physical robots -- across its production network.
BMW Group· GermanyHexagon AEON · Figure AI Figure 02 · BMW Smart Robotics ecosystem
PwC Saves USD$150M Modernizing Across 136 Countries with Microsoft 365 Copilot
PwC rolled out Microsoft 365 Copilot to its global workforce, providing secure, intuitive AI-powered tools. The firm saved more than USD$25 million by consolidating platforms and USD$150 million in valuable employee time through Copilot use, in a rollout spanning 136 countries.
PwCMicrosoft 365 CopilotPing An's AI-Driven Car Insurance Claims Processor
Ping An launched a credit-based mobile app for car insurance claims, letting drivers report claims, upload photos for AI-assisted damage assessment, and receive compensation online. The system is built on an AI smart claims credit model using image damage assessment, OCR bill identification, and biometrics. Smart scheduling provides surveying within 5-10 minutes for 95.5% of claims, 30% of cases use AI image recognition for loss assessment with 95% accuracy, and compensation can be received within seconds via face recognition.
Ping An· ChinaAI smart claims credit model · OCR bill identification · biometric face recognitionHow 7-Eleven, Inc. Built a Game-Changing GenAI Creative Assistant for Marketing with Databricks
7-Eleven's AI Center of Excellence built a multi-agent GenAI marketing assistant using LangGraph and Databricks, moving beyond early document-based chatbots and basic RAG. The system includes a Campaign Creative Generator, Copywriter Bot, General Assistant, and Supervisor Agent that orchestrates workflow and reviews outputs, with human-in-the-loop review, web search for trend intelligence, and guardrails filtering toxicity, PII and off-policy responses. Databricks provides governance and observability via MLflow tracking, automated agent evaluation, and inference tables. The assistant reduced manual creative hours, with campaign concepting and scripting that used to take hours or days now generated, refined, and approved in minutes; user feedback included calling it 'a game changer' and 'better than ChatGPT.'
7-Eleven, Inc.LangGraph · Databricks · MLflowFrom lab to newsroom: How Reuters builds AI tools journalists actually use
Reuters developed a suite of AI-powered newsroom tools with a human-in-the-loop approach: Fact Genie, an AI-assisted summarisation tool that scans entire documents in under five seconds to suggest newsworthy alerts (helping Speed teams publish the first alert within about six seconds of a press release, across roughly 100,000 business news alerts published monthly by 250-300 journalists); LEON, an AI-powered headline assistant; and AVISTA, a machine-learning tool for sourcing, tagging and archiving photos and videos. Fact Genie took about four months from prototype to production rollout, starting with senior journalists in the US and UK before expanding, and the team also uses AI to filter out non-newsworthy content before it reaches a large language model, cutting alert-generation time from about a minute with GPT-3.5 Turbo to about 10 seconds with GPT-4o mini.
PostNL embeds AI-driven route planning and sales intelligence across its logistics platform
PostNL's 2025 transformation embedded artificial intelligence and advanced analytics throughout operations: predictive algorithms support real-time route planning, parcel flow optimisation and capacity forecasting, and a new AI-powered sales intelligence tool converts ideal customer profiles into prioritised prospect lists with detailed shipment insights for account managers. In Belgium, PostNL piloted a fully digital onboarding journey for small business customers, reducing registration time from 15-20 days to a maximum of one day.
PostNL· NetherlandsPredictive analytics and AI-powered sales intelligence tools embedded across PostNL's operations and app, plus digital identity integrationAdyen launches Uplift, an AI payment optimization suite piloted by 60 enterprise businesses
Adyen Uplift is an AI-powered payment optimization suite trained on Adyen's global transaction dataset of over $1 trillion in payments data, helping businesses increase payment conversion, simplify fraud management and reduce payment costs. The pilot, run with businesses including Patagonia, On, Indeed, NordSecurity and Fubo, showed up to a 6% uplift in payment conversion, up to 5% lower payment processing costs, and an 86% average reduction in manual fraud rules for pilot customers.
AdyenAI-powered payment optimization suite (Adyen Uplift) trained on Adyen's global transaction dataset of over $1 trillion in payments dataBalfour Beatty invests 7.2 million pounds in Microsoft 365 Copilot and AI 'smart agents' for construction quality checks
Balfour Beatty announced a 7.2 million pound investment in Microsoft 365 Copilot, one of the largest AI investments of its kind in UK construction and infrastructure. Balfour Beatty is also partnering with Microsoft to develop AI-powered 'smart agents' to improve Quality, Health & Safety and Assurance processes; the first trial is on the A9 Dualling: Tomatin to Moy project in Scotland, automating early-stage reviews of Inspection and Test Plans that traditionally took several hours.
Balfour Beatty· United KingdomMicrosoft 365 CopilotBMW Group scales Virtual Factory digital twins to cut production planning costs by up to 30 percent
BMW Group is industrialising its Virtual Factory, with production planners continuously scaling applications in digital twins of over 30 production sites built on NVIDIA Omniverse. Automated collision checks for new vehicle models that once took almost four weeks of real-world testing now take three days to simulate virtually, and production planning costs are projected to fall by up to 30 percent.
BMW Group· GermanyNVIDIA OmniverseGeneral Motors uses AI for digital twins, battery leak detection, and weld/paint inspection in manufacturing
GM builds in-house AI solutions used across its manufacturing facilities: digital twins that simulate a running production line before it's constructed, AI/machine learning that quickly and accurately pinpoints potential leaks in battery packs, and a combination of robotics and a proprietary AI tool that inspects welds and paint coats to identify irregularities and anomalies.
General Motors· United StatesMiami Dade College boosts student pass rates by 15% with Microsoft 365 Copilot
Miami Dade College deployed Microsoft 365 Copilot among its President's Cabinet and senior leaders, and used Microsoft Copilot Studio to build AI-powered assistants supporting personalized learning, coding exercises, essay structures and math problems around the clock. In the first semester of implementation in STEM and advanced analytics courses, the college saw a 15% increase in student pass rates and a 12% decrease in dropout rates. A survey found 77% of users completed tasks faster, 76% saw improved work quality, and 81% reported increased productivity; if just 15% of MDC's more than 6,000 employees saved 12 minutes a day, that would total nearly 50,000 hours a year. Encouraged by these results, MDC expanded its Copilot deployment by 400 licenses, prioritizing student-facing employees.
Miami Dade College· United StatesMicrosoft 365 Copilot · Microsoft Copilot Studio · Microsoft Teams +1Far EasTone Telecom (FET) is turning agentic AI into real operations impact
Far EasTone Telecom (FET), a Taiwanese operator, applied Microsoft's network operations agent (NOA) reference architecture to redefine cloud-native network operations by embedding agentic AI across its network operations center (NOC) and change-management workflows. Nearly 60% of FET's NOC operations are now AI-assisted, with about 10,500 operational tasks executed per month, including incident summaries, automated ticket closure, network checks, and proactive voice notifications. AI agents handle large-scale alarm correlation and root cause analysis in seconds, supporting nearly 7,000 monthly operational queries with an average response time of 16 seconds, and most maintenance actions complete within one minute, significantly reducing human error and accelerating recovery times.
Far EasTone Telecom· TaiwanMicrosoft network operations agent (NOA) reference architectureVolkswagen Autoeuropa's Welding Online Monitoring System predicts weld failures
At Volkswagen's Autoeuropa plant in Palmela, Portugal, engineers developed the Welding Online Monitoring System for about €17,000 ($17,850), using a custom algorithm to analyze real-time operational data from welding guns. The system predicts abnormal behaviour and potential failure before quality problems appear on the production line.
Volkswagen (Autoeuropa plant, Palmela, Portugal)· PortugalWelding Online Monitoring SystemSoutheastern Railway cuts case handling time 10.8% with ServiceNow Now Assist for CSM
Southeastern Railway, working with ServiceNow partner UP3, deployed ServiceNow's Now Assist for CSM to automatically summarize customer chats and cases for its Contact Centre Agents. Since 1 April 2025, Southeastern has routed 27,500 chats to live agents; average case handling time fell by 1 minute 30 seconds, a 10.8% reduction, saving approximately 687.5 hours of agent time (85+ full working days). Southeastern's existing ServiceNow Virtual Agent already handled around a third of customer queries, resolving 80% of those autonomously, with each Virtual Agent interaction 825% more cost-effective than a phone call.
Neue Pressegesellschaft launches AI article chat 'Frag Mich' with Retresco
German media group Neue Pressegesellschaft (NPG), whose news portals get around 24 million visits a month, launched 'Frag Mich' ('Ask Me'), an AI question-answering feature built with Retresco using Retrieval-Augmented Generation (RAG) technology. Available in the mobile apps of NPG titles SÜDWEST PRESSE, Märkische Oderzeitung and LAUSITZER RUNDSCHAU, it lets subscribers ask free-form questions and get answers grounded exclusively in editorially reviewed articles, with clearly cited sources and links to original content.
Neue Pressegesellschaft· GermanyRetresco RAG technology (textengine.io)MITRE's Federal AI Sandbox accelerates government AI research with NVIDIA DGX SuperPOD
Nonprofit MITRE built the Federal AI Sandbox, powered by NVIDIA DGX SuperPOD, to give federal sponsors an affordable, centralized space to test and deploy AI and machine learning across domains such as weather forecasting, cybersecurity, and public benefits administration. The DGX SuperPOD delivers a 300-fold performance increase over MITRE's previous AI computing capabilities and supports thousands of researchers; MITRE is using it with NVIDIA Omniverse and NVIDIA Earth-2 to develop 1-kilometer precision weather forecasts with NOAA and the National Weather Service, plus a foundational model for cybersecurity threat analysis across 190 nations.
MITRENVIDIA DGX SuperPOD · NVIDIA Omniverse · NVIDIA Earth-2 +1Wiley boosts service efficiency with Salesforce Agentforce
Publisher Wiley uses Salesforce Agentforce alongside Service Cloud and Einstein AI to manage customer service, letting AI agents resolve common issues like password resets and account access so human reps can focus on complex cases. Agentforce improved case resolution by over 40% compared to Wiley's previous chatbot, helped onboard seasonal agents 50% faster, and delivered a 213% return on investment with $230,000 in annual cost savings.
WileySalesforce Agentforce · Salesforce Service Cloud · Einstein AI +1Nordea's Nova chatbot usage doubles in two years
Nordea's chatbot Nova (Nordea Virtual Agent), in service since 2017, is expected to handle close to seven million customer chat sessions in 2024, a 100% increase over two years. Nova answers simple banking questions in two seconds and uses 'deep links' that guide customers directly to a feature, such as viewing a card PIN. AI Trainers add at least 20 phrasings per intent, plus 10 tricky variations, to keep Nova understanding a wide range of customer questions.
NordeaNova (Nordea Virtual Agent)KLM deploys AI to reduce in-flight food waste
KLM uses a machine-learning model called TRAYS, developed with Kickstart AI, to predict how many booked passengers will actually board a flight so its Meals On Board System can calculate the exact number of meals needed. The prediction runs from 17 days before departure until 20 minutes before departure and has cut food waste by up to 63% based on the expected number of passengers per flight, saving more than 100,000 kg of meals a year across flights catered from Schiphol.
KLM· NetherlandsTRAYS · Meals On Board System (MOBS)Automation accelerates AstraZeneca's mission to save millions of lives by releasing 20 new medicines by 2030
AstraZeneca partnered with ServiceNow to replace manual research and administrative tasks with the ServiceNow AI Platform as part of its goal to launch 20 new medicines by 2030. A digitized, automated, AI-powered equipment and supplies ordering system on the AskAZ employee portal cut tasks that previously took up to 30 minutes, such as handwritten lab supply orders, down to seconds; more than 60,000 requests across 400+ categories now flow through the platform annually, saving an estimated 30,000+ hours per year. AstraZeneca also built "Onboarding 2.0" on the ServiceNow AI Platform, with personalized portals for new hires; automating roughly 10% of the 50+ hours managers previously spent onboarding each employee is projected to save over 90,000 hours as the company recruits more than 20,000 new employees.
AstraZeneca· United KingdomServiceNow AI Platform · App Engine · Customer Service Management +7Albert Heijn's AI-powered assistant Steijn helps millions of customers decide what's for dinner
Albert Heijn, part of Ahold Delhaize, built the AI-powered assistant Steijn, which helps millions of customers answer the daily question "What's for dinner?" by suggesting personalized recipes and step-by-step guidance. Ahold Delhaize is also scaling its proprietary retail media platform, Edge, which enables on-site display, sponsored search, and in-store digital screens, to its U.S. brands after delivering strong results across several European brands.
Albert HeijnSteijn (AI-powered assistant) · Edge (retail media platform)AI serves QoS & operational efficiency
Orange France deployed AI-based tools across its network operations to improve quality of service and operational efficiency, including the Recovisu diagnostic tool that helps technicians correct errors during interventions, automated frequency declarations with the National Frequency Agency, AI-driven preventive maintenance for equipment such as antenna batteries, and an AI-evaluated citizen infrastructure-damage-reporting app. The NRJ5G app analyzed consumption data to prevent unnecessary mobile site electrical subscription upgrades, saving nearly 48 million.
Orange France· FranceRecovisu · NRJ5GMcKinsey's Firmwide Knowledge Copilot "Lilli"
McKinsey launched Lilli, a generative-AI platform that provides streamlined, impartial search and synthesis of the firm's internal knowledge to help consultants build client engagement plans. The firm's intellectual property spans more than 40 curated knowledge sources today, and McKinsey said there will be more than 100,000 documents and interview transcripts of internal and third-party content in the future. A user asks a question and Lilli scans the firm's knowledge base, surfaces five to seven of the most relevant pieces of content, summarizes key points, and identifies subject-matter experts. McKinsey piloted Lilli with real users and was scaling it from an initial team of three to more than 70 experts, aiming to reach thousands of colleagues by the end of the year.
Admiral Seguros: Tractable delivers outstanding customer services through touchless claims
Admiral Seguros, a Spain-based auto insurer serving over 260,000 clients, integrated Tractable's visual AI to enable Straight-Through Processing of auto claims. At First Notice of Loss, customers photograph vehicle damage via a smartphone app link, and Tractable's AI assesses the damage to build an estimate within minutes. In 2021, Admiral Seguros processed 12,000 touchless claims this way: 90% of estimates were processed without appraiser input, 98% of qualifying claims were completed in under 15 minutes, the AI's accuracy was 96% compared to human appraisers, and automation drove a 3x return on investment.
Admiral Seguros· SpainTractable visual AIPairing with AI for Public Sector Impact in Singapore
Since mid-2023, Open Government Products (OGP), an experimental tech team within the Singapore government, has rolled out the Pair suite of AI-powered tools for public officers: Pair Chat (a secure ChatGPT-like assistant), Pair Noms (meeting-minutes generation) and Pair Search (search over public government records). The products have over 60,000 registered users, more than 20,000 weekly active users, and over 10 million messages exchanged, saving officers an estimated 46% of time spent on administrative tasks. Data is kept private within government infrastructure and not logged on cloud providers.
Open Government Products (Singapore GovTech)· SingaporeEnterprise Data Analytics Platform and AMI Operations
Con Edison rolled out the C3 AI Platform and C3 AI AMI Operations application to establish AMI operations across 5 million smart meters and build a federated enterprise data analytics platform. The team aggregated two years of data from 13 source systems covering 5 million customer accounts, configured two machine learning algorithms and 50 analytics to identify deployment and installation issues and determine meter and network health. Results included $854M+ in identified annual customer benefit and 2,300+ deployment issues identified within 4 months.
Con Edison· United StatesC3 AI Platform · C3 AI AMI OperationsElektroDistribucija Srbije modernizes its grid with Schneider Electric's EcoStruxure ADMS and DERMS
ElektroDistribucija Srbije (EDS), Serbia's distribution system operator serving 3.8 million customers, implemented EcoStruxure ADMS and EcoStruxure DERMS from Schneider Electric to digitize grid operations, support renewable energy integration and improve reliability across its legacy electricity grid. Results included a 10-15% reduction in network losses, a roughly 20% reduction in outages, improved integration of distributed renewable energy resources, and condition-based maintenance improving operational efficiency.
Fiserv embeds Stuut Technologies' agentic AI into order-to-cash workflows, processing over $2 billion in invoices
Fiserv partnered with Stuut Technologies to integrate agentic AI into enterprise order-to-cash workflows through its Commerce Hub and SnapPay products. The initiative has already processed over $2 billion in invoices.
Fiserv· United StatesStuut AI agent · Fiserv Commerce Hub · Fiserv SnapPayHyundai Motor Group deploys autonomous mobile robots across its Metaplant America manufacturing process
Hyundai Motor Group's Autonomous Mobile Robot (AMR), which uses SLAM technology with LiDAR sensors and 3D depth cameras to navigate and select optimal travel paths, is currently being used across the entire manufacturing process at Hyundai Motor Group Metaplant America (HMGMA). The Group also showcased other AI robotics products at CES 2026 including the Atlas humanoid robot, Spot integrated with Orbit AI software for facility inspection, and the AI Keeper quality-inspection solution based on Spot that autonomously detects assembly defects on the automotive production line.
Hyundai Motor GroupAutonomous Mobile Robot (AMR) · LiDAR sensors · 3D depth cameras +6AVIS deploys Nativa-built reservation bots on LivePerson to automate car rental bookings
AVIS partnered with Nativa, which used LivePerson's conversational technology to build reservation bots that complete the car rental process in real time without human assistance, including quotes, confirmations, modifications and payments, via WhatsApp and Web Messaging. Through ongoing optimization from October 2021, bot understanding (Intent Match Rate) reached 88.3%, containment rate reached 69.9% (up from 8.4%), and average monthly customer satisfaction reached 91.4% in 2025.
AVISLivePerson Conversational CloudAurora Public Schools sees 28% improvement in literacy grade-level expectations using MagicSchool
Aurora Public Schools, a Colorado district of over 38,000 students, used MagicSchool's Enterprise package and MagicStudent tools including the Language Learning Tutor, Translate It! and Writing Feedback Tool to support English language learners, struggling readers and students with IEPs. A teacher, Johnnie Lacey, used the tools to differentiate instruction, and the district saw a 28% improvement in students meeting grade-level expectations for literacy, with the most significant gains among initially struggling students.
ADNOC generates $500 million in value from AI deployment across its value chain in 2023
ADNOC integrated over 30 AI tools across its full value chain, from field operations to corporate decision-making, generating $500 million (AED1.84 billion) in value in 2023 and abating up to 1 million tonnes of CO2 emissions between 2022 and 2023. Tools include the CPAD predictive analytics and diagnostics program, and AIQ-developed products Emission X, SMARTi, AR360 and Robowell.
ADNOC· United Arab EmiratesCPAD (Centralized Predictive Analytics and Diagnostics) · Emission X · SMARTi +2How Schibsted is using AI to boost efficiency for their newsrooms and their readers
Schibsted Media (Norway) uses generative AI across its newsrooms via several tools: a suggested-stories feature at VG that maintains an 85% thumbs-up ratio comparable to lead stories; Videofy, an in-house service that generates 20-second news videos instantly from published articles, integrated into its Content Management System; and ARIA, an AI framework of specialised agents that lets staff query real-time compiled data through platforms like Slack. Journalists also use an AI toolbox, built by a journalist rather than the AI team, to generate potential questions and answers around articles using models including Claude and GPT.
Schibsted· NorwayVideofy · ARIA · Claude +3Munich Re HealthTech improves insurance analytics with Oracle AI solutions
Munich Re HealthTech (MRHT), a German health-tech provider to the health insurance industry, migrated its SMAART actuarial application to Oracle Autonomous AI Database on OCI and built an AI chatbot using OCI Generative AI, Oracle Autonomous Database's Select AI, and AI Vector Search. The chatbot lets actuaries, underwriters, and senior management search the knowledgebase and get instant, multilingual, conversational answers, correctly answering more than 90% of questions posed to it. Oracle APEX automation also cut the time to build analytical dashboards in SMAART from 15 days to about 20 minutes, and Oracle Globally Distributed Autonomous Database let MRHT meet per-country data residency requirements. The company reports lower development costs, stronger compliance, and real-time insights for pricing, risk assessment, and underwriting.
Commerzbank uses generative AI to automate investment advisory call summaries, cutting admin time 66%
Commerzbank, a leading German bank, partnered with Google Cloud to develop a generative AI-powered solution that creates AI-assisted summaries of investment advisory calls with corporate clients, automating a previously time-consuming manual documentation process and reducing administration time by 66%.
Georgia State University tracks 800+ risk factors daily to improve graduation rates with predictive analytics
Georgia State University's predictive student retention analytics implementation tracks over 800 risk factors for more than 40,000 students daily and generates 90,000 targeted interventions annually. The approach has resulted in a 7-percentage-point increase in four-year graduation rates while closing achievement gaps among different student populations.
Georgia State University· United StatesBuilding an Agentic Workforce: What We've Learned from 30,000 AI Agents
Prosus is building an agentic workforce across the group, with over 26,000 AI agents built as of December 2025 toward a target of 30,000 by end of March. At portfolio company iFood (Brazil), a Restaurant Account Executive Agent used daily by over 200 associates automates restaurant performance reporting, performing manual work equivalent to 40 full-time employees. A Data Analyst Agent lets employees query data in natural language without technical expertise. Prosus shifted from abstract workshops to hands-on sessions embedding the AI team into functions like communications, HR, sales, finance and legal to drive adoption, and tied agent creation to performance reviews and bonuses. Across the group, Prosus estimates it has created the equivalent of 1,000 full-time employees in capacity.
ProsusDutch bank ABN Amro to cut 5,200 jobs by 2028 in AI-driven overhaul
ABN Amro announced plans to cut 5,200 full-time positions by 2028 (about 24% of its workforce) as part of a restructuring that relies on AI to handle routine back-office tasks. CEO Marguerite Bérard said AI would enable 'deliberate decisions' in customer service, operations and anti-money laundering checks, where headcount could shrink by up to 35%. The plan targets a return on equity of at least 12% and a cost-to-income ratio below 55% by 2028.
ABN AMRO· NetherlandsHow Business Insider's AI-based paywall strategy increased conversions by 75%
Business Insider replaced its editorially-driven freemium paywall with a machine-learning-based smart paywall that decides which content to paywall for each user based on prior reading habits, referral platform, and each content genre's propensity to convert. In testing from December to April, total conversions increased more than 75% versus the control, with 60% of new conversions coming from stories that would never have been paywalled before. Applying AI to the registration wall as well increased registrations by 300%.
Business InsiderAIG uses generative AI to speed underwriting
AIG is using large language model technology to modernize underwriting as part of its AIG Next enterprise transformation. CEO Peter Zaffino said early pilots improved data collection and accuracy rates in underwriting from near 75% to upwards of 90%, while reducing processing time significantly. AIG has invested approximately $300 million in data, digital workflow, AI and talent over two years, and more than $1 billion on foundational data technologies over the last half decade, and plans to open a new data engineering and AI operations facility in Atlanta in 2026.
AIGApollo Global Management builds AI capabilities into its private equity portfolio companies
Apollo Global Management runs a structured playbook, led by its Data, Digital and AI team, to build AI capabilities into portfolio companies before and after acquisition. Cited results include: Cengage running eight AI projects with costs down 40% in select content production and a Student Assistant tutor bot scaled to 1 million users; Yahoo seeing engineering productivity gains exceeding 20% with over 10,000 lines of AI-generated code accepted daily; Barnes Group achieving a five-times return on a generative-AI documentation tool in its first year; and Univar Solutions' AI sales agent achieving a 30% engagement rate reactivating dormant customers.
Apollo Global Management· United StatesRevolutionizing Audi's Welding Inspection System through AI
Audi implemented an AI-powered quality control system to transform its welding inspection process, expanding on previous manual ultrasound inspections that covered only 5,000 points per vehicle. The AI system analyzes 1.5 million weld points across 300 vehicles per shift, letting production staff focus on addressing potential anomalies rather than manual inspection. Following its success, Volkswagen Group is expanding the technology across multiple sites, including Audi Brussels, VW Emden and Audi Ingolstadt, with site-specific AI model retraining to accommodate varying welding parameters.
Audi· GermanyWestat builds machine learning models to triage SAMHSA's Drug Abuse Warning Network emergency department data
For SAMHSA's Drug Abuse Warning Network (DAWN) study, which collects data from 50 hospitals across the United States, Westat developed ML models to review and route emergency department records, assigning a probability score for whether a visit is in scope for DAWN and its likely category. The models are retrained periodically, producing high-quality DAWN data without relying on human review of every case.
Vanguard estimates AI ROI at close to $500 million across call center, advisor and coding use cases
Vanguard Group estimates its return on investment from AI at close to $500 million. Columnists Thomas H. Davenport and Randy Bean, writing in MIT Sloan Management Review, describe several proven AI use cases at the asset manager: AI agents in the call center help representatives draw answers from internal content and resolve issues faster; autogenerated, personalized summaries of Vanguard market perspectives help advisers keep clients informed; AI-assisted code generation has improved programming productivity by 25% and trimmed the system development life cycle by as much as 15%; and a large language model analyzes corporate earnings calls for signals that dividends will be cut. Vanguard also continues to monitor AI model performance and utilization, and reports that 50% of employees have completed training through the Vanguard AI Academy.
Vanguard GroupTarget rolls out GenAI-powered Store Companion chatbot to stores chainwide
Target announced plans to roll out Store Companion, a generative AI chatbot built by its in-house technology team, to team members at all of its nearly 2,000 stores by August 2024. The tool is designed to answer store team members' on-the-job process questions, coach new hires and support store operations. As of the June 2024 announcement, Target was piloting the tool at about 400 stores, using pilot-team feedback to improve the experience ahead of the planned chainwide rollout, following an initial testing phase to planned rollout in just six months.
Target Corporation· United StatesUK Solicitors Regulation Authority Approves Garfield.Law as First AI-Driven Law Firm
In May 2025 the UK Solicitors Regulation Authority (SRA) authorised Garfield.Law Ltd, co-founded by Philip Young and Daniel Long, as the first law firm authorised to deliver legal services entirely through AI technology. Garfield operates an AI-powered litigation assistant for small claims debt recovery up to £10,000, guiding users from calculating amounts owed through filing for default judgment, and charges per document rather than hourly. The SRA authorisation included safeguards such as client confidentiality protection, conflict avoidance, user approval at each stage, and controls preventing the AI from proposing case law to address hallucination risk.
KI hilft bei Onlineanmeldung der Eheschließung
Die Landeshauptstadt Wiesbaden setzt bei der Onlineanmeldung zur Eheschließung nun Künstliche Intelligenz ein. Die KI generiert direkt nach der Anmeldung eine individuelle Übersicht der benötigten Dokumente für das Traupaar, analysiert die hochgeladenen Unterlagen anhand von zehn typischen Konstellationen, prüft Vollständigkeit und Lesbarkeit und bereitet die Dokumente für die fachliche Prüfung vor. Ein Ampelsystem zeigt den Standesbeamtinnen und Standesbeamten, ob Dokumente fehlen. Die rechtliche Prüfung und Entscheidung verbleiben beim Standesamt. In Wiesbaden melden 75 Prozent der Traupaare ihre Eheschließung online an.
Landeshauptstadt Wiesbaden· GermanyDutch National Archive uses AI to make its largest WWII archive digitally searchable
The Nationaal Archief, Netwerk Oorlogsbronnen, Huygens Instituut and NIOD Instituut are digitizing the Centraal Archief Bijzondere Rechtspleging (CABR), the largest and most-consulted Dutch WWII archive with dossiers on roughly 300,000 people, and using artificial intelligence to make the digitized documents readable and searchable. The first digital results go online via Oorlogvoorderechter.nl from 2025, with the project running until 2027.
Nationaal Archief· NetherlandsVolvo Trucks uses proprietary AI models to power adaptive maintenance in its Blue Service Contract
Volvo Trucks North America upgraded its Blue Service Contract to offer optimized service stops based on fuel consumption, idle time and oil samples, powered by the OEM's proprietary AI models, enabling fewer stops for 2023 model year and newer trucks and reducing operating costs for customers.
Volvo Trucks North America· United StatesBooking.com launches Smart Messenger and Auto-Reply agentic AI tools for partner-guest communication
Booking.com's first customer-facing agentic AI tools, Smart Messenger and Auto-Reply, gather partner, property and reservation information to autonomously suggest and send guest communications; early experiments yielded a 73% increase in partner satisfaction compared to previous messaging tools. The company also offers AI Trip Support, AI Voice Support, AI Rental Helper and AI-powered Flight Search Summaries.
Booking.com· NetherlandsTalkmobile: Setting the standard for modern, digital customer service
Talkmobile, a UK-based mobile network operator founded in 2007, has partnered with LivePerson since 2014 on a conversational AI strategy spanning web messaging, social and digital channels, secure forms, and an intelligent routing bot. LivePerson's conversation data analytics let Talkmobile automate common inquiries such as bill payments and account updates on its Ecare platform, while migrating from web chat to asynchronous web messaging in 2022 drove a 60% increase in average monthly volume within six months. Talkmobile now maintains a 92% customer satisfaction score, a Net Promoter Score of 66, and an 89% first contact resolution rate, with agents responding to customers in under one minute using LivePerson's Agent Workspace.
Talkmobile· United KingdomStrava's Athlete Intelligence Translates Workout Data into Simple and Personalized Insights
Strava launched Athlete Intelligence, an AI-powered feature available as a public beta to subscribers, which analyzes and interprets workout data across pace, heart rate, elevation, power, and Relative Effort into simple, personalized insights and guidance. The feature spots 30-day performance trends, detects milestones such as fastest pace or longest distance, and offers tailored feedback for each activity, drawing on more than 10 billion activity uploads on Strava.
StravaSüddeutsche Zeitung: Lokalinformationen per WhatsApp
Süddeutsche Zeitung (SZ) launched WhatsApp channels for districts around Munich, offering free local news, event information and regional updates. Content comes from SZ's local newsrooms and is supplemented by automatically generated information produced in cooperation with Berlin media startup Beat Squares, which uses AI to process data from publicly accessible sources. All contributions are editorially reviewed before publication. More than 4,000 users subscribed within the first three days.
Süddeutsche Zeitung· GermanyDeutsche Telekom partners with McKinsey to scale hyper-personalized agent training with gen AI
Deutsche Telekom partnered with McKinsey to build a generative-AI-powered learning and coaching engine to upskill 8,000 human agents in the field and call centers. The team spent six weeks diagnosing agent needs with millions of data points, then four months building and refining the MVP, embedding prompts into agent workflows (e.g. a training video is triggered if an agent struggles with eSIM activation). The likelihood of customers recommending the company increased by 14%.
Deutsche Telekom· GermanyAirbus Defence and Space Uses Deep Learning and Google Cloud to Deliver Real-Time Satellite Imagery
Airbus Defence and Space's Intelligence business line rebuilt its satellite imagery platform, OneAtlas, on Google Cloud, using Kubernetes Engine, Cloud Pub/Sub, Cloud Storage and Cloud Datastore to serve more than 1,200 customers in over 100 countries. Airbus trained TensorFlow deep learning models to recognize cloud cover, cutting its cloud-detection error rate from 11% to 3%, and the new platform reduced the time for customers to access satellite imagery from hours to less than half a second while adding millions of square kilometers of imagery weekly.
Airbus Defence and Space· FranceGoogle Kubernetes Engine · Cloud Pub/Sub · Cloud Datastore +2ASML Moves On-Premises Machine Learning to Google Cloud to Speed Chip Manufacturing Models
ASML, the Dutch photolithography machine maker, migrated its on-premises machine learning platform that predicts process performance per device layer to Google Cloud, using BigQuery, Kubernetes Engine, and Cloud Build with partners Rackspace and ML6. The move cut product release cycles from monthly to biweekly, improved overall engineering efficiency including time to market by up to 40%, sped up data queries 25X with BigQuery, saved each engineer about four hours per day previously spent on data parsing, and reduced encryption/build/test time from hours to about 10 minutes.
ASML· NetherlandsBigQuery · Google Kubernetes Engine · Cloud Build +1Siemens Healthineers and Intel Deploy Edge AI for Radiation Therapy Planning and Cardiac MRI
Siemens Healthineers worked with Intel to run AI-Rad Companion image segmentation directly on existing Intel-powered imaging hardware at Geisinger, a health system in Central Pennsylvania, automating the manual contouring of tumors and healthy tissue for radiation therapy planning without sending data off-site. The edge AI deployment scaled to 11 facilities serving over 3 million patients without new servers, and a related cardiac MRI application processes images 5.5 times faster with near-real-time analysis and no accuracy loss.
Siemens HealthineersAI-Rad Companion · Intel CPUsBuilding a smarter bank through digital customer experiences
Siam Commercial Bank, one of Thailand's largest banks with over 17 million customers, migrated to the Databricks Data + AI Platform with Delta Lake, Unity Catalog and MLflow to power instant digital loan approvals and personalized product recommendations, replacing a fragmented SAS/Teradata setup. This delivered a 2x increase in new digital loans, 62% faster ML deployment lifecycle, and 30 million THB/year in lower operational costs.
Siam Commercial Bank· ThailandDelta Lake · Unity Catalog · MLflow +2Kythera Labs builds its business on Spark Declarative Pipelines and the Databricks Data + AI Platform
Kythera Labs, a healthcare big-data company processing about 2 billion medical and 3 billion prescription transactions annually, uses the Databricks Data + AI Platform with Spark Declarative Pipelines, Delta Sharing and Unity Catalog to remaster over 3 petabytes of raw healthcare data into analysis-ready products via its Wayfinder offering. This delivered a 99%+ reduction in query pipeline processing time (from 2 days to 2-4 minutes) and 80% faster time to market.
Kythera LabsSpark Declarative Pipelines · Unity Catalog · Delta SharingLakeflow Jobs enables automation and collaboration in the energy sector
Wood Mackenzie, an energy and natural resources consulting firm founded in Edinburgh, used Databricks Lakeflow Jobs to automate ETL pipelines processing 12 billion data points weekly for its Lens data analytics platform. This delivered an 80-90% reduction in processing time and cost savings through workflow automation.
Wood MackenzieLakeflow Jobs · Apache SparkGiving every gardener a green thumb
Husqvarna, which has over 1.2 million connected IoT devices across its landscaping equipment, used the Databricks Data + AI Platform to centralize data for self-driving mower map generation, predictive maintenance and personalized customer support, replacing siloed AWS solutions and individual laptop-based Jupyter notebooks that hindered collaboration.
HusqvarnaDelta LakeImproving child healthcare through early diagnosis of autism
Cognoa built Canvas Dx, the first FDA-authorized diagnostic device for autism in children ages 18-72 months, using the Databricks Data + AI Platform to run machine learning models over structured questionnaire answers and unstructured home videos. This shortened the average time to diagnose autism by 3 years compared to the historical journey, and enables remote diagnosis starting at 18 months versus the U.S. average diagnosis age of 4.3 years.
Cognoa· United StatesDelta LakeTransforming mobile payments into a finance super-app
PicPay, Brazil's mobile payments platform with over 60 million customers, unified data from customer interactions, sales, financial and log activity on the Databricks Data + AI Platform, replacing a complex multi-tool AWS setup. This delivered $10M in savings from smarter cash-back rewards targeting, 50% lower analytics/visualization platform costs, and a 25% increase in self-service business analytics users.
PicPay· BrazilDatabricks SQL · Delta LakeMojang Reduces Processing Time 66% With Azure Databricks
Mojang Studios, developer of Minecraft (over 300 million copies sold), migrated from Azure HDInsight and Apache Hive to Databricks on Azure to unify data science workflows for player telemetry analysis and personalized content recommendations in the Minecraft Marketplace, plus social-media sentiment analysis via Azure Cognitive Services. This reduced data processing time by 66%, delivered 2.5x better AI content recommendations, and cut compute costs by 20%.
Mojang StudiosDelta Lake · Apache Spark · Azure Cognitive ServicesPreventatively reducing workplace injuries with data-driven insights
StrongArm Tech uses wearable devices generating roughly 1.2 million data points per day per person, ingested via the Databricks Data + AI Platform with Delta Lake and MLflow, to power machine learning Safety Scores that predict industrial injury risk. This reduced workplace injury rates by 60%, delivered $5.3M in gross savings for one customer, and cut the margin of error for evaluating injury risk by 78% (from 23% to 5%).
StrongArm TechnologiesDelta Lake · MLflowMatching home buyers with their dream house
Compass, a real estate technology company, uses the Databricks Data + AI Platform to deliver predictive intelligence that identifies homeowners likely to sell, helping agents optimize marketing budgets and outreach strategies, replacing siloed ad hoc data lakes with a unified platform.
CompassDatabricks Data + AI Platform · Unity Catalog · Databricks SQLPersonalizing fantasy sports for millions of users
Dream11, the world's largest fantasy sports platform with over 120 million users, used Databricks on AWS to build scalable machine learning capabilities for personalization, social recommendations, real-time predictions and fraud detection. This shortened its time-to-market for new ML-powered solutions by 5x, from 5 months to 4 weeks.
Dream11Databricks Data + AI Platform · Agent BricksEmpowering marketers with next-gen customer intelligence
Acxiom used the Databricks Data + AI Platform to securely unify customer data for analytics, giving clients the ability to create customer-centric insights, improving marketing conversions and revenue. The platform delivered around 30% faster time-to-market of actionable customer insights and about 15% reduction in operational costs.
AcxiomDatabricks Data + AI Platform · Delta Lake · Delta SharingNHS England accelerates AI adoption with Microsoft 365 Copilot to improve service delivery and create more time for care
Following the largest healthcare AI trial of its kind globally, which gave more than 30,000 NHS workers across 90 NHS organizations access to Microsoft 365 Copilot and found it saved an average of 43 minutes per staff member per day on administrative tasks (about five weeks per person annually), NHS England is rolling out Microsoft 365 Copilot to 505,000 clinicians and support staff. Ward clerks use it for discharge processes, data analysis, rota building, and bed management; medical secretaries for meeting minutes and templates; and HR, finance, and procurement teams for core administrative functions. The agreement also gives NHS organizations access to Copilot Studio, letting NHS England build agents centrally and individual trusts build custom agents for tasks like reducing help desk burden or accelerating freedom-of-information requests, governed through Agent 365. The deployment follows a 12-month onboarding plan with 200,000 users targeted within the first six months.
NHS England· United KingdomMicrosoft 365 Copilot · Copilot Studio · Agent 365GOSH-led trial of AI-scribe technology shows transformative benefits for patients and clinicians across London
A Great Ormond Street Hospital (GOSH)-led, NHS England-sponsored study tested TORTUS, an ambient voice AI-scribing tool, across nine NHS sites in London including hospitals, GP practices, mental health services, and ambulance teams, evaluating over 17,000 patient encounters. The AI listens to consultations and drafts a clinic note and letter in a template personalized to each clinician's style, using generative AI, with clinicians reviewing and editing every note before it is saved to the patient record; the AI performs no clinical decision-making. Results showed a 23.5% increase in direct patient interaction time, an 8.2% reduction in overall appointment length, a 13.4% increase in patients seen per shift in A&E, and a 35% reduction in clinicians feeling overwhelmed by notetaking, with 92% of patients consenting to its use. At St George's University Hospital, time to complete the initial A&E patient note halved; economic modeling by York Health Economics Consortium estimated that national scaling to England's 11,055 A&E clinicians could yield 9,259 extra A&E consultations daily, saving GBP 176 million in documentation time and unlocking GBP 658 million in capacity annually.
Great Ormond Street Hospital / NHS England· United KingdomTORTUSVxceed builds a near real-time multi-agent AI platform using Amazon Bedrock
Vxceed, a global SaaS provider of AI-powered sales and distribution solutions for consumer packaged goods (CPG) companies, built a multi-agent AI platform on Amazon Bedrock to interpret store-level signals in near real time across traditional trade retail outlets. Specialized agents interpret field signals, summarize patterns, generate narrative explanations, and recommend next steps, and also collaboratively produce short AI-generated video news bulletins (script, audio, and visuals each by a different agent) summarizing daily risks and opportunities. Built with Amazon DynamoDB, AWS AppSync WebSockets, AWS Lambda, and AWS Step Functions, the platform processes about US$250 million in daily transactions for major customers, expanded outlet coverage from 1.6 million to over 2 million stores in 18 months, and delivered 5-10% sales uplift and 15-25% improvement in promotion ROI through earlier issue detection.
VxceedAmazon Bedrock · Amazon DynamoDB · AWS AppSync +2ADT embraces Oracle AI to improve onboarding and enhance workforce insights
ADT, the smart home security provider that hires more than 5,000 new employees annually, deployed Oracle Fusion Cloud HCM's embedded AI features, including the Onboarding Assistant AI agent, which gives new hires guided, step-by-step, 24/7 support through onboarding, and author-assistance AI for performance management and goal setting. Oracle Fusion HCM Analytics uses AI to analyze data from HR transactions, help desk tickets, performance check-ins, and self-service activity to surface attrition patterns, performance trends, and manager effectiveness. ADT reports managers are saving two to three hours per direct report on performance evaluations and goal setting, amounting to a full week regained per year in some cases, plus more consistent onboarding and reduced HR support ticket volume.
ADTOracle Fusion Cloud HCM · Oracle Fusion HCM Analytics · Oracle HR Help DeskTetra Tech gains natural language access to complex finance data with Oracle AI
Tetra Tech, a global engineering and infrastructure consulting firm, consolidated over 100 ERP systems into Oracle E-Business Suite on OCI, then built an interactive analytics platform using Oracle Autonomous AI Lakehouse and OCI Generative AI. Using Oracle Digital Assistant's text, chat, and voice interfaces plus open-source large language models (Cohere and Llama) in Oracle Generative AI, finance and project teams pose conversational-language questions about profitability and performance and get natural-language answers that are correct almost 100% of the time, per the company. Tetra Tech is also working with Oracle to make the chatbot proactively flag risks like potential project budget overruns and plans to deploy AI agents to automate tasks such as fixing transaction errors and streamlining field-staff time entry.
Tetra Tech· United StatesOracle Autonomous AI Lakehouse · OCI Generative AI · Oracle Digital AssistantSafe-Sight.ai enhances safety in high-risk workplaces with OCI AI Infrastructure
Australian startup Safe-Sight.ai runs AI models that apply advanced algorithms and machine learning to analyze large volumes of safety surveillance video in real time, identifying potential workplace risks and anomalies with precision. Running its AI vision product on OCI AI Infrastructure with NVIDIA A10-based GPU flexible shapes cut the company's infrastructure costs by 20% without compromising performance.
Safe-Sight.ai· AustraliaOCI AI InfrastructurePwC France scales more relevant outreach with AI-driven campaign planning
PwC France and Maghreb's marketing team used Oracle Marketing's embedded AI models to move from one-size-fits-many, geography-based email campaigns to AI-assisted send-time optimization, fatigue-analysis models that detect over-contacted audiences, and account intelligence scoring accounts by engagement potential and service-line interest. The firm reported improved open and click-through rates and increased productivity as manual audience-preparation tasks dropped and workflows relied more on automation.
PwC France and Maghreb· FranceOracle Fusion Cloud Marketing · Oracle Fusion Unity Data PlatformFaster Financial Decision-Making With Data and AI
Santander, one of the world's largest banks, consolidated previously siloed business unit data into a single analytical environment on the Databricks Data + AI Platform, using Unity Catalog for governance. This enabled more than 4,000 users to work in an integrated way, cut data ingestion time from 71 days to hours, and reduced machine learning model build-and-deploy time by 50%.
BC Card Unifies Payments Data to Power Innovation
BC Card, a South Korean payments company serving more than 40 client companies and 36 million members, adopted the Databricks Data + AI Platform to unify previously siloed data search, processing, analysis and visualization environments. It built an internal AI agent that learns from metadata and usage patterns to help business users locate data, reduced data processing time by 90%, cut marketing data-error costs by more than 50%, and lowered platform operation costs by 60%, while complying with Korea's data protection laws via Unity Catalog governance controls.
BC Card· South KoreaDelta Lake · Databricks SQL · Unity Catalog +1Lojas Renner Powers Retail AI Agents
Lojas Renner, Brazil's largest fashion retailer with over 20,000 employees, used the Databricks Data + AI Platform to build an AI agent factory. Using Delta Lake, Unity Catalog and Agent Bricks, it deployed an Internal Support Agent that automates HR and operational questions, a Labor Relations Agent serving over 430 users, an Executive Insights Agent, and Voice of the Customer Analytics, reducing response times, boosting agent retention and automating handling of most internal support calls.
Lojas Renner· BrazilDelta Lake · Unity Catalog · Agent Bricks +3Empowering Employees to Work Strategically Using Amazon Bedrock with BDM
Big Data Mining (BDM), a Brazilian company, built LOUIS, a bespoke generative AI model on Amazon Bedrock combining computer vision and natural language processing to process complex, unstructured corporate documents (contracts, powers of attorney) across more than 100 models and 15 industries. A large Brazilian financial institution deployed LOUIS to replace a team of 150 professionals manually evaluating over 40,000 unstructured processes per month for opening legal-entity accounts and contracting credit, standardizing interpretation criteria and reducing operational effort by more than 40%, an estimated $4.2 million in cost savings over five years. In insurance, LOUIS reduced life insurance claim processing from up to six months to just a few minutes by capturing required data in about 60 seconds. BDM reports documents are processed 85% faster than manual interpretation with 98% accuracy, and saved roughly 50% on development costs by building on Amazon Bedrock rather than writing the application from scratch.
Sandvik Revolutionizes Manufacturing with Microsoft AI Solutions
Sandvik, a Swedish manufacturing technology company, built the Manufacturing Copilot using Azure OpenAI Service and Azure AI Search to give employees and customers natural-language access to decades of product documentation, help files, and audio/video recordings across its CAD/CAM software brands (including Cimatron, GibbsCAM, and SigmaNEST). Rather than building separate solutions per product, Sandvik created a shared service with product-specific Copilots, each trained on brand-specific proprietary knowledge and supporting 19 languages with domain-specific translation algorithms. The tool is used internally in sales, customer support, and training, and was first launched across three CAD/CAM brands with a rollout planned to reach 400,000 users. Sandvik reports an average productivity gain of 20-30% (up to 50% for entirely new problems) and roughly 50% less time to onboard new salespeople.
Sandvik· SwedenAzure OpenAI Service · Azure AI Search · GitHub CopilotDiscover Financial Services Builds a Generative AI Solution on AWS for Faster Decision-Making and Time to Market
Discover Financial Services, a digital banking and payment services company, built an analytics workbench and unified data science workbench on Amazon EC2 (P3 and P4 GPU instances) so its data scientists could run machine learning and generative AI workloads, train large language models with sample sizes requiring up to 6 TB of memory, and deliver high-performance computing in the cloud. Model artifacts are stored in Amazon S3 and shared across engineering teams via Amazon EFS. Discover used the platform for use cases including sentiment analysis of customer service calls and a 'do not contact' model that classifies customers in near real time for customer care agents. Using feature embedding, the team reduced time to market from hours to minutes; parallel model training cut processing of 30 million records from days to hours, and sentiment analysis on a 57,000-record dataset dropped from hours to minutes. Discover reports 35% reduction in engineering and platform costs.
Discover Financial Services· United StatesAmazon EC2 · Amazon S3 · Amazon EFSIntent HQ Powers Personalization With AI
Intent HQ built IntentOne, an agentic framework on the Databricks Data + AI Platform, to automate marketing campaign optimization, testing and real-time delivery without requiring technical expertise. Lakebase serves as the operating system letting agents share insights and reason across customer data, with Model Serving, Unity Catalog and built-in compliance providing enterprise-grade privacy for sensitive data. The platform lets marketers launch thousands of targeted campaigns in seconds rather than weeks.
Intent HQLakebase · Model Serving · Unity CatalogLG U+ Reduced LLM Vendor Dependency and Cut Costs 36% with Databricks Model Serving
LG U+, one of Korea's leading telecom carriers, migrated its U+one AI Search service to Databricks Model Serving to reduce dependence on a single external LLM vendor. Databricks hosts Gemini 2.5 Flash in a dedicated availability zone through a partnership with Google, letting LG U+ keep its existing LangChain interfaces and model while removing its direct reliance on Google's own infrastructure. The company also rebuilt its search architecture with an AI Gateway, Query Orchestration, a Semantic Elastic Cache, Hybrid Reasoning Retrieval, and Agentic Self-Correction Loops running within an LLMOps framework. In controlled tests, Gemini calls routed through Databricks showed 48% higher throughput, 22% faster average response times, and a 90% lower failure rate versus direct calls; in production, operating costs fell 36% and response speed improved 64% even as system complexity grew 107%. LG U+ is extending the same infrastructure to its ixi-O Voice AI services.
LG U+· South KoreaDatabricks Model Serving · LangChain · Gemini 2.5 Flash +3Delivering One Highstreet Experience Through Connected Data and Intelligence
Highstreet Insurance Partners, an insurance brokerage that has grown through partnerships with more than 200 independent agencies, built Ora, a proprietary unified digital intelligence platform on Databricks that combines trusted data, analytics, intelligent automation and AI. Ora manages more than 49 billion data points spanning client, policy and carrier history for roughly 500,000 active client relationships. Highstreet built a knowledge graph connecting clients, policies, coverages, documents, and communications to ground AI agent recommendations, uses Unity Catalog for governance across data and ML assets, and Databricks Model Serving to run machine learning models that surface renewal-likelihood scores and cross-sell opportunities. Highstreet reduced the time to onboard a new agency partner's data into Ora from as much as six months to less than two weeks, and increased daily data refresh success from 35% to more than 95% after re-engineering Ora's data foundation with Lakeflow pipelines and Delta Lake.
Keeping Every Patient Healthier as Fast as Care Demands
Duly Health and Care, the largest multi-specialty physician-owned practice in the U.S., migrated from a 17-year-old SQL Server warehouse to the Databricks Data + AI Platform, unifying nearly 60 data sources including Epic and Workday via Delta Lake and Unity Catalog. Duly's data science team used MLflow and AutoML to build a hospital readmission prediction model, comparing Random Forest, LightGBM and XGBoost algorithms, trained on 100,000 historical patients and achieving a ROC AUC of 89.2%. The company also built a conversational "Physician Finder" tool integrated into its Epic workspace, and five Genie Agents (Patient, Provider, Finance, HR, Appointments) letting non-technical staff query live data in plain English. Duly reports a 29% drop in hospital readmission rates (14% to 10%), saving an estimated $4.5 million annually, a 30% reduction in data platform costs versus SQL Server, and roughly double the number of data projects completed in 2025 versus 2024 with the same headcount.
Duly Health and CareDatabricks SQL · Delta Lake · Unity Catalog +3Accelerating the Path to Net Zero with Energy Insights
SSE Airtricity, an energy supplier serving around 750,000 customers in Ireland, built the in-house Enhanced Smart Insights (ESI) Energy Advisor on the Databricks Data + AI Platform, delivering personalized energy-saving advice to over 65,000 smart meter customers, such as guiding EV owners toward off-peak charging. The advisor is built on Anthropic's Claude Sonnet 4.5, accessed via Databricks AI Model Serving, with Lakeflow Spark Declarative Pipelines processing billions of rows of smart meter data nightly and Unity Catalog governing data and AI models. The team used MLflow's GenAI evaluation framework to implement automated AI "judges" that reject and regenerate failing insights before they reach customers. SSE Airtricity went from concept to production in about four months; within the first month it saw a 12% increase in unique visitors to the insights section, and 90% of logged-in customers now engage with the personalized insights.
SSE Airtricity· IrelandClaude Sonnet 4.5 · Databricks AI Model Serving · MLflow +3Bankdata pilots Microsoft's agentic COBOL Migration Factory against its 70-million-line mainframe estate
Bankdata, a technology company owned by a consortium of Danish banks representing over 30% of the Danish banking market, has over 70 million lines of code still running on the mainframe. Bankdata worked with Microsoft to build the COBOL Agentic Migration Factory (CAMF), a multi-agent system built on Semantic Kernel with specialized agents (COBOLAnalyzerAgent, JavaConverterAgent, DependencyMapperAgent) that analyze, map dependencies for, and convert COBOL programs into modern Java Quarkus applications. Microsoft tested the framework on a small COBOL module donated by Bankdata, progressively validating it on more complex COBOL call chains reaching a call-chain depth of level 3 as the tool matured into its current multi-agent form.
Bankdata· DenmarkMicrosoft Semantic Kernel · GPT-4.1 · AutoGen +1Noxtua's sovereign European legal AI in use at Allianz, Deka and law firm Nordermann
Berlin-based Noxtua (formerly Xayn) has built what it says is Europe's first 'sovereign' legal AI, with large language models trained exclusively on European legal data and hosted on EU cloud providers. The tool, which helps lawyers research, analyse and draft documents, is already in use by law firms such as Nordermann, the legal department of Allianz, and German savings bank Deka. Noxtua raised an €80.7m Series B led by legal publisher C.H.Beck in April 2025.
Warner Bros. Discovery curates the viewer experience
Warner Bros. Discovery uses the Databricks Data + AI Platform and Databricks SQL to run AI on user viewing data, providing a curated selection of programming based on user insights so customers see the most relevant content on the entertainment site.
Amplifon cuts invoice backlog and boosts efficiencies with Oracle AI
Amplifon, a global hearing healthcare retailer operating in 26 countries, activated AI features embedded in its Oracle ERP, including Intelligent Document Recognition, to process financial documents such as invoices, payments, and purchase orders. Instead of paper invoices and scanned documents languishing unassigned in email inboxes, supplier documents now arrive directly into the ERP system and are visible on a central dashboard, letting Amplifon's HQ monitor backlogs by country. Oracle Intelligent Account Combination Defaulting has been used over 100,000 times in the past six to twelve months, freeing employees from paper-based tasks for more strategic work.
Amplifon· ItalyOracle ERP · Oracle Intelligent Document Recognition · Oracle Intelligent Account Combination DefaultingPenn Medicine Advances Care With AI
Penn Medicine centralized diverse healthcare data on the Databricks Data + AI Platform to enhance clinician and patient experience. Trusted AI and governance ensure insights are accurate, secure and explainable, enabling teams to rapidly access actionable data to simplify operations, streamline patient follow-ups and improve financial outcomes.
Penn MedicineBarracuda Networks Protects With AI
Barracuda Networks unified customer and product telemetry data using Databricks and AI to power BarracudaONE, an AI-powered platform delivering real-time threat detection and automated response by combining signals across attack vectors, securing hundreds of thousands of businesses worldwide.
Barracuda NetworksHilton Grand Vacations Unifies Data with Databricks Data + AI Platform
Hilton Grand Vacations transforms guest experiences by unifying and protecting guest data with the Databricks Data + AI Platform. Real-time analytics and AI drive predictive insights and enable personal concierge services, while governance ensures data privacy and quality.
Hilton Grand VacationsWorkday Powers Every Line of Business with Databricks and AWS
Workday built a governed, AI-ready data foundation on Databricks and AWS spanning product telemetry, sales analytics, and AI-driven marketing applications, giving both technical and non-technical teams fast access to trusted insights. Within six months of the initiative, every business unit at Workday had launched sandbox workspaces and began delivering agentic applications on the shared platform.
WorkdayBMW advances engineering simulation with Mistral
The BMW Group is partnering with Mistral AI to develop industry-specific AI models for crash simulation, combining BMW's proprietary datasets and engineering expertise with Mistral's AI capabilities to improve quality, accuracy and speed for complex engineering tasks. The collaboration focuses on embedding domain-specific knowledge into AI workflows, starting with crash simulation and with potential to scale across further applications along the BMW Group value chain.
BMWMistral AIASML accelerates advanced semiconductor lithography with Mistral
ASML is partnering with Mistral AI to apply frontier AI across its product portfolio as well as research, development, and operations to accelerate time to market with higher performance holistic lithography systems. Initial use cases include AI agents for software reliability and early downstream issue detection, large-scale log analysis with intelligent reasoning for root-cause identification in diagnostics, and automation of technical product documentation within engineering workflows.
ASMLMistral AICapgemini pilots AI-RAN-connected autonomous shuttles under Horizon Europe's Project ULTIMO
Capgemini is working within Project ULTIMO, a Horizon Europe-funded initiative, to demonstrate AI-RAN support for large-scale autonomous mobility across European cities. Autonomous shuttles equipped with NVIDIA Jetson Orin modules process sensor data locally, while select video and telemetry streams are sent over 5G to agentic AI applications running on NVIDIA AI-RAN servers for scene understanding, incident and safety detection, and accessibility insights, with mission-critical 5G traffic given priority access to GPU resources.
CapgeminiNVIDIA Jetson Orin · NVIDIA AI-RAN servers · 5GUnveiling Magic Apron: The Home Depot's Smartest Tool Yet
The Home Depot expanded Magic Apron, its suite of generative AI tools that helps customers find answers to home improvement questions, available on The Home Depot app and on millions of product pages on homedepot.com. It is powered by a proprietary home improvement knowledge base combining large-scale datasets with The Home Depot's own expertise and product information, and already answers customer questions and summarizes product reviews. It is planned to expand to The Home Depot's Pro site for professional contractors and business account users.
The Home DepotMagic ApronSingapore General Hospital trials AI2D prescribing assistant for antibiotic dosing
SGH collaborated with DXC Technology and Synapxe to develop Augmented Intelligence in Infectious Diseases (AI2D), an AI-based prescribing assistant mainly used for the diagnosis of patients with pneumonia and urinary tract infections. AI2D lets doctors know whether antibiotics are needed and recommends the type and dosage of antibiotics based on the patient's clinical data.
Singapore General Hospital· SingaporeAI2DRentokil Initial deploys Gemini-powered assistant for field technicians with Telana
Rentokil Initial partnered with Telana to deploy a Gemini-powered assistant that provides field technicians with hands-free, real-time service and customer data.
Rentokil InitialGoogle GeminiMia: Houston Methodist's intelligent chatbot for nursing recruitment
Houston Methodist's Center for Innovation built Mia, an intelligent chatbot that interfaces with nursing candidates early in the recruitment process to vet them for appropriate interest and experience.
Houston MethodistchatbotMcGee & Co uses Syte's visual AI to connect shoppers with complementary home decor pieces
Furniture and home decor retailer McGee & Co implemented Syte's visual search and AI tagging technology to tie products together, helping customers who find an item like an end table or couch also discover the complementary pieces from the same collection. Josh Batchelor, VP of Technology at McGee & Co, said the goal was to make sure shoppers are served complementary pieces when they need them.
Frankfurter Allgemeine Zeitung relaunches app "FAZ. Der Tag" with AI-generated article summaries
Frankfurter Allgemeine Zeitung redesigned its news app "FAZ. Der Tag," which presents the most important topics of the last 24 hours along with a daily podcast and news quiz. The relaunched app offers AI-generated article summaries for a quick overview, alongside personalization by topic, a new design with improved navigation, and a read-aloud function. The publisher introduced a new subscription model for the app: free for the first 30 days, then €0.99 for the first month and €7.99 per month thereafter, with free access for FAZ+ and FAZ/FAS digital subscribers.
Frankfurter Allgemeine Zeitung (FAZ)· Germany