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MLflow

89 use cases using this technology

89published use cases
19industries
14countries on record
Predictive Analytics
top AI capability

Evidence mix: High 89 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry
Country

89 use cases

Financial ServicesMachine LearningNatural Language Processing

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
Technology & SoftwareFraud & Anomaly Detection

InMobi 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 +1
Consumer GoodsPredictive Analytics

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.

BarillaDatabricks Data + AI Platform · Delta Lake · Unity Catalog +1
Government & Public SectorDocument IntelligenceGenerative AI

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.

International Finance Corporation (IFC)Databricks Data + AI Platform · MLflow · Azure Data Lake
HealthcareLarge Language ModelsDocument IntelligenceFraud & Anomaly Detection

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.

Orizon· BrazilDelta Lake · MLflow · Databricks Model Serving +5
Financial ServicesMachine LearningRecommendation & PersonalizationGenerative AI

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.

Discovery Bank· South AfricaDelta Lake · Unity Catalog · MLflow
Technology & SoftwareLarge Language ModelsConversational AI

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.

Crisis Text LineMLflow · Spark Declarative Pipelines · Unity Catalog +2
HealthcarePredictive AnalyticsConversational AI

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 +3
EnergyGenerative AI

Accelerating 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 +3
Technology & SoftwareGenerative AI

Protect 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 +1
RetailGenerative AIPredictive Analytics

Cultivating 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 +4
Financial ServicesPredictive Analytics

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 +2
Financial ServicesFraud & Anomaly DetectionRecommendation & Personalization

Maya 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 +3
EducationMachine LearningFraud & Anomaly DetectionAI Model Development & MLOps

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 +6
RetailComputer VisionGenerative AILarge Language Models

Furniture.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 +3
TelecommunicationsMachine LearningConversational AI

Building 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.

Digital Nasional BerhadDatabricks Data + AI Platform · Delta Lake · Databricks Workflows +3
ManufacturingPredictive AnalyticsMachine LearningAgentic AI

TK 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 +6
Financial ServicesMachine LearningGenerative AINatural Language Processing

Techcombank: 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.

Techcombank· VietnamDatabricks Platform · Delta Lake · MLflow +4
RetailGenerative AIAgentic AI

How 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 · MLflow
ManufacturingRetrieval-Augmented GenerationConversational AINatural Language Processing

Lippert 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.

LippertDatabricks · Agent Bricks · Unity Catalog +5