AI use cases in United States
33 documented implementations
Georgia State University tracks 800+ risk factors daily to improve graduation rates with predictive analytics
Georgia State University
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
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
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)
University of Pennsylvania
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
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
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
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
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
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
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
Hibbett
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 (Capital District Physicians' Health Plan Inc.)
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
University of Florida
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
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
Substance Abuse and Mental Health Services Administration (SAMHSA) - DAWN
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
Contra Costa County District Attorney's Office
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 Corporation
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
DSV
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
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
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
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
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
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
General Motors
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
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.
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
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
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
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
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
Harvard Medical School (The Walter Lab)
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
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
Mercedes-Benz
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.