AI use cases in United States
78 documented implementations
Valley National Bank automates 61% of sanction-hit reviews with a UiPath AI agent
Valley National Bank's Sanctions Compliance Manager, quoted in a UiPath press release, reports that since implementing an AI agent for Transaction Screening Alert Review, the bank has automated 61% of sanction-hit reviews and is handling an average of 14,000 alerts monthly, freeing up branch and operations resources, enabling faster payments and improving the employee experience, with a meaningful reduction in its OFAC volumes.
The Network Builds an Agentic AI Research Agent on AWS to Fight Human Trafficking
Nonprofit The Network, which tracks thousands of illicit massage businesses in the United States that are linked to human trafficking, is building an agentic AI research agent on Amazon Bedrock with Anthropic's Claude Sonnet 4.5. The agent autonomously performs the research protocols human investigators follow to verify whether businesses in its database are still operating. The solution is currently in the testing phase, with full rollout planned for later in 2026.
ENGIE 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.
KPMG 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.
AGCO 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.
Ventura 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.
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.
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.
Agentforce 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.
How 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.
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.
Sphere 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.
Improving 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.
Building 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.
Tetra 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.
Concentrix 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.
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.
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.
Tapestry 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.
SoundHound 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.
For 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.
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.
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.
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%.
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.
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.
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.
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.
Baylor 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.
Johnson 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.
Navy 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%.
Hearst 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.
Cohu 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.
Milwaukee 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.
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.
Caesars 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.
Boise 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.
Tractian 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.
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.
Spectrum 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.
AtlantiCare 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.
Discover 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.
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.
Delivering 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.
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.
Kellogg 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.
Jabil 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.
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.
Darrow 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.
How 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.
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.
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.
Apollo 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.
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.
How 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.
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.
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.
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.
Westat 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.
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.
Target 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.
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.
Argonne 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.
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.
Guthrie 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.
Mayo 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.
Volvo 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.
General 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.
Miami 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.
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.
Val 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.
Forcura 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.
Enterprise 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.
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.
Harvard 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.
Aurora 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.
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.





