Data Intelligence in Action: 100+ Data and AI Use Cases from Databricks Customers

Whether it's streamlined ingestion, unified governance or AI agent evaluation, the suite of solutions available on the Data Intelligence Platformenables businesses worldwide to drive transformative, real-world results from data and AI.

This impact was on full display at Data + AI Summit. Hundreds of customers, including 7-Eleven, Fox Sports and Rivian, detailed how they are using Databricks to streamline operations, reduce risk, and ultimately unlock new growth opportunities.

Below is a list of the use cases shared at the conference, organized by track.

On-Site Experiences

NOVuses the Data Intelligence Platform to process more than 3 terabytes of real-time data daily to optimize decisions, reduce risk, and improve efficiency. Its scalable platform powers predictive operations across complex environments - enabling faster, more confident decisions, safer outcomes, and innovation for the energy industry and beyond.

7-Eleven uses the Data Intelligence Platform to build a multipurpose agentic marketing assistant that tracks store performance insights across 13,000+ stores with compound AI systems, simplifies Unity Catalog migration with data-driven assessments and workflows guiding each step, and boosts technician productivity with RAG and embeddings to quickly surface answers from manuals.

Insulet deploys Databricks to unify its data ecosystem to modernize manufacturing and drive faster, more efficient operations, leading to 12x faster real-time data processing with automated ingestion from Salesforce and SAP, 83% fewer SQL queries after replacing outdated ETL with Lakeflow, and 97% lower TCO by eliminating third-party ETL tools and batch processing

Mastercarduses Databricks to deploy AI responsibly and connect insights across teams, platforms and partners. The company automates customer support with a GenAI onboarding assistant, supplements domain-specific AI agents with human-in-the-loop feedback, unifies data governance, and accelerates iteration across the enterprise.

Tonal relies on Databricks to personalize every session and track user progress. With Databricks, Tonal uses real-time data streaming and real-time feedback on progress to provide post-workout analysis, analyzes historical workout data to recommend target workout ranges for the upcoming week, and tags movement, sets and speed to align workouts with training goals.

Fox Sports leverages Databricks to make AI-powered search feel like part of the game - fast, smart and built for fans. The company built Cleatus AI: a go-to sports assistant that chats in natural language with live scores, stats and commentary. AI-powered search led to 2x higher query success rate for fans seeking fast, relevant results.

Danonepartnered with Databricks to help build a foundation to scale AI, improve data quality, and speed decisions by up to 30%. Among other outcomes, Danone can share data more securely and efficiently across global teams, equip teams to explore data in natural language with AI-powered tools and share data securely across regions with built-in governance and control.

Virgin Atlantic leverages Databricks to put GenAI to work, including automated pricing and personalized service, to enable teams to use their data more fluently with natural language and analyze relevant data through centralized data domains, like flights, customers and pricing, among other capabilities.

Arctic Wolf leverages Databricks to support its AI-driven cybersecurity for seamless protection and unmatched resilience. Among other capabilities, ETL pipelines process billions of events daily with high-throughput, low-latency ingestion and analysis, and ML and behavioral analytics detect anomalies, threats and sophisticated attacks more effectively.

Trekuses Databricks to shift from a legacy warehouse to faster data, global visibility and lower cost, including 80% acceleration in time-to-retail-analytics results and 65% reduction in time to refresh data.

Jobyuses Databricks to support its electric air taxi, pushing real-time test data to developers and engineers across teams, accelerating prototyping with AI model serving and LLM integration and supporting secure collaboration in one unified platform.

Analytics and BI

Experianrelies on AI/BI Genie for generative analytics and Agent Studio for synthetic test case generation to validate model performance.

Watch: Shifting Left - Setting up Your GenAI Ecosystem to Work for Business Analysts

Premier Inc. uses Databricks AI/BI Genie, along with Unity Catalog, to generate complex SQL, as much as 10 times faster than writing it by hand. Now, the healthcare provider plans to scale Genie to as many as 20,000 users across hundreds of hospitals to enhance the care they provide to the communities they serve.

Watch: AI and Genie: Analyzing Healthcare Improvement Opportunities

Conagra integrates Databricks Genie with traditional BI reports to go from insight to action faster and with fewer clicks, enabling speed to value in a complex Supply Chain. This allows the team to curate data products to be consumed by traditional BI applications and rapidly scale for the AI/ML applications of tomorrow.

Watch: AI/BI Driving Speed to Value in Supply Chain

J. Goldman & Co.relies on Databricks' computational power and Unity Catalog's secure governance to eliminate bottlenecks and achieve the fastest time-to-market for critical investor decisions.

Watch: Trillions of Data Records, Zero Bottlenecks for Investor Decision-Making

Spencer Gifts uses Databricks SQL and Unity Catalog to expand beyond ad-hoc querying into SQL Editor/notebook-driven development to scheduled data pipelines producing interactive dashboards.

Watch: Analyst Roadmap to Databricks: From SQL to End-to-End BI

HP Print uses Databricks Genie and Mosaic AI to create a real-time insights engine to automate SQL generation, data visualization, and narrative creation.

Watch: Transforming HP's Print ELT Reporting with GenIT: Real-Time Insights Tool Powered by Databricks AI

T-Mobile deployed Databricks Genie Rooms to help democratize access to important datasets, like cell tower and lease information.

Watch: Getting Data AI Ready: Testimonial of Good Governance Practices Constructing Accurate Genie Spaces

Plotly Dash migrated Octave's backend to Databricks to address increasingly massive scale, governance and security requirements.

Watch: Optimizing Smart Meter IIoT Data in Databricks for At-Scale Interactive Electrical Load Analytics

Optiverharnesses Databricks Apps to power its live trading dashboards, enabling traders to analyze market data, detect patterns and respond instantly.

Watch: Real-Time Market Insights - Powering Optiver's Live Trading Dashboard with Databricks Apps and Dash

Rooms to Gointegrates Databricks AI/BI Genie with Microsoft Teams to enable warehouse employees and members of the sales team to interact with data using natural language. This enhances organizational collaboration and simplifies data exploration and analysis. By connecting Genie to Microsoft Teams, the company brings real-time data insights directly to a user's phone.

Watch: Empowering Business Users With Databricks - Integrating AI/BI Genie With Microsoft Teams

Zillow utilizes Databricks Asset Bundles and GitLab CI/CD to create performant dashboards that are confidently used for mission-critical operations. The online real estate hub uses this approach to automate its on-call support analysis, leveraging its dashboard development strategy alongside Databricks LLM offerings to create a comprehensive view that provides actionable performance metrics alongside AI-generated insights and action items from the hundreds of requests that make up Zillow's support workload.

Watch: Building Dashboards as a Production-Grade Data Product

IQVIA implemented the Databricks Data Intelligence Platform to improve query performance and cost efficiency, drive robust governance, and ensureoperational effectiveness and regulatory compliance in an increasingly complex environment.

Watch: IQVIA's Analytics for Patient Support Services: Transforming Scalability, Performance and Governance

Artificial Intelligence

The Navy uses Databricks Workflows, MLflow, Delta Lake and Apache Spark™ to build a data-driven model that predicts which financial transactions are most likely to have errors, streamlining reviews and increasing accuracy. In FY24, it helped review $40 billion and free $1.1 billion for other priorities, including $260 million from active projects. It also saved 218,000 work hours and $6.7 million in labor costs.

Watch: Empowering the Warfighter With AI

Activisionuses the Data Intelligence Platform to process 30 million rows of data per hour to detect advanced cheats in its Call of Duty game.

Watch: Machine Learning Aimbot Detection in Call of Duty

National Australia Banktransitioned to a modern, cloud-based data and AI platform powered by Databricks. The two-year process involved ingesting 16 data sources, transferring 456 use cases, and collaborating with hundreds of users across 12 business units. This strategic move positioned NAB to leverage the full potential of cloud-native data analytics, and enabled more agile and data-driven decision-making across the organization.

Watch: Dusting off the Cobwebs - Moving off a 26-year-old Heritage Platform to Databricks

Vizientleverages Databricks Asset Bundles in its standardized MLOps stack to create reproducible, scalable pipelines.

Watch: MLOps That Ships: Accelerating AI Deployment at Vizient with Databricks

adidas leverages Databricks tools like Mosaic AI's deployment capabilities, Mosaic AI Gateway, and MLflow to build a scalable GenAI agentic infrastructure that delivers actionable insights from growing 2 million product reviews annually. The remarkable results include a 60% latency reduction, 91.67% cost savings, 98.5% token efficiency, and 20% increase in productivity.

Watch: The Next Wave of AI Applications Driven by Agentic Workflow at Adidas Using Databricks

Smart Inbox leverages Databricks' powerful data and AI ecosystem to integrate semantic analysis, large language models and distributed computing to enhance classification precision and reduce manual processing efforts.

Watch: Smart Inbox: A Cutting-Edge AI for Automated Customer Email Classification by ENGIE

The Virtue Foundationuses Unity Catalog as a foundation to support using advanced Gen AI with Model Serving, Vector Search and MLflow to radically change how the organization mapped volunteer health resources with the right locations and facilities.

Watch: Learn How the Virtue Foundation Saves Lives by Optimizing Health Care Delivery Across the Globe

Expedia Groupadopted Databricks as a central hub to help scale AI model training and prediction generation to deliver high-quality insights for customers. The company seamlessly integrates Databricks' powerful features into its ecosystem, streamlining workflows and accelerating time to market. And the stability and reliability increases efficiency in prototyping and running scalable production workloads.

Watch: Three Big Unlocks to AI Interoperability With Databricks

ServiceNowharnesses the power of Databricks to reimagine its Go-To-Market (GTM) strategies, seamlessly integrating AI at every stage of the deal journey - from identifying high-value leads to generating hyper-personalized outreach and pitch materials.

Watch: ServiceNow 'Walks the Talk' With Databricks: Revolutionizing Go-To-Market With AI

Prada Group leverages Mosaic AI to propose an interactive and natural language product discovery capability that is expected to improve its e-commerce search bar.

Watch: GenAI-Powered Shopping Assistant for Prada e-Commerce Search Bar

Lovelyticsleverages the Databricks Data Intelligence Platform to build a scalable compound AI architecture for automated taxonomy generation.

Watch: Automating Taxonomy Generation With Compound AI on Databricks

Arizeuses MLflow and Databricks Mosaic AI to evaluate and improve high-performing AI agents.

Watch: Self-Improving Agents and Agent Evaluation With Arize & Databricks ML Flow

Datavant leverages Databricks to centralize storage of clinical data, and transform it into structured, AI-ready data to shave off 80% off of the work of deploying a new AI use case.

Watch: Solving Health AI's Data Problem

AT&T and Databricks built AT&T AutoClassify, a novel end-to-end system for automatic multi-head binary classifications from unlabeled text data. The result is a highly optimized and low-cost model servable in Databricks that's capable of taking raw text and producing multiple binary classifications.

Watch: AT&T AutoClassify: Unified Multi-Head Binary Classification From Unlabeled Text

Sportsbet leverages Generative AI within Databricks solutions to enable automated analysis of cluster logs, resource consumption, configurations, and codebases to provide Apache Spark™ optimization suggestions.

Watch: Kill Bill-ing? Revenge is a Dish Best Served Optimized with GenAI

Doctors Without Borders/Médecins Sans Frontières (MSF) uses Databricks Mosaic AI and Unity Catalog to analyze donor behavior, predict giving patterns and personalize outreach, increasing contributions while upholding ethical AI principles.

Watch: Empowering Fundraising With AI: A Journey With Databricks Mosaic AI

First American Data & Analyticsuses the Data Intelligence Platform to revolutionize its data extraction processes with batch inference to overcome the challenges of extracting data from millions of historical title policy images and reduce project timelines by 75%.

Watch: Transforming Title Insurance With Databricks Batch Inference

DraftKingsleverages Databricks to power its fraud detection pipeline, integrating real-time streaming, machine learning and rule-based detection to enable rapid model training, real-time inference and seamless feature transformation across historical and live data.

Watch: Scaling Real-Time Fraud Detection With Databricks: Lessons From DraftKings

Scribd uses Databricks Workflows, Model Serving, Serverless Compute, and Notebooks to build an AI inference pipeline processing millions of documents.

Watch: Scaling GenAI Inference From Prototype to Production: Real-World Lessons in Speed & Cost

Nikonleverages Databricks' unified data and AI platform to develop and deploy an automated, scalable solution for accessory sales planning, including using MLflow to automate model logging and versioning, enabling efficient management and scalable deployment.

Watch: Scaling Demand Forecasting at Nikon: Automating Camera Accessories Sales Planning with Databricks

Coinbase leverages Databricks to scale ML on blockchain data, turning vast transaction networks into actionable insights.

Watch: Scaling Blockchain ML With Databricks: From Graph Analytics to Graph Machine Learning

Experian relies on tools like Unity Catalog, Agent Evaluation, and other Databricks solutions to build adaptive RAG systems that produce more tailored outputs with higher accuracy.

Watch: Advanced RAG Overview - Thawing Your Frozen RAG Pipeline

Vizient built a standardized MLOps stack using Databricks, Azure DevOps and GitHub Actions to streamline AI model development, deployment and monitoring.

Watch: Accelerating Model Deployment With Databricks MLOps Stacks at Vizient

TwelveLabs uses NVIDIA NeMo Framework Megatron-LM on Databricks in its Pegasus-1 model.

Watch: Accelerating Model Development and Fine-Tuning on Databricks with TwelveLabs

7-Eleven used Databricks Mosaic AI and LangGraph to build a multi-purpose AI assistant that assumes different personas based on the user query to help with campaign generation, copywriting, and other use cases.

Watch: AI Agents for Marketing: Leveraging Mosaic AI to Create a Multi-Purpose Agentic Marketing Assistant

Providence Healthused Databricks Mosaic AI to build a custom chatbot that plays the role of patient and coach. The bot provides a scaling learning experience to help medical providers hone their skills at interacting with patients during emotionally charged end-of-life interactions.

Watch: Agentic Architectures to Create Realistic Conversations: Using GenAI to Teach Empathy in Healthcare

Acxiom built an AI-powered marketing data management platform on Databricks that solves the problem of incomplete, inconsistent, and inaccurate information that limits campaign effectiveness and reduces the accuracy of AI agents.

Watch: AI-Powered Marketing Data Management: Solving the Dirty Data Problem with Databricks

Moody's tapped Databricks, including MLflow LLM-as-judge and Unity Catalog, to help build its AI Screening Agent, which automates processes essential for Know Your Customer (KYC) and compliance due diligence during customer onboarding.

Watch: Moody's AI Screening Agent: Automating Compliance Decisions

Rivian Automotive, LLC uses Databricks solutions to help build its scalable ML model that enhances real-time charge predictions in vehicle controls, including Unity Catalog for data governance, Delta Tables for storage, and Liquid Clustering for data layout.

Watch: Optimizing EV Charging Experience: Machine Learning for Accurate Charge Time Estimation

Novo Nordiskbuilt FounData, its clinical trial platform, on Databricks, providing proper data architecture to enable advanced AI applications.

Watch: Patients Are Waiting...Accelerating Healthcare Innovation With Data, AI and Agents

Petrobrasrevolutionized its MLOps framework using MLflow, Databricks Asset Bundles (DABs) and Unity Catalog to replace error-prone manual validation with automated metric-driven workflows, reduce model deployment timelines from days to hours and establish granular governance and reproducibility across production models.

Watch: Petrobras MLOps Transformation With MLflow and Databricks

CVSbuilt an advanced bot detection system on the Databricks Data Intelligence Platform, which leverages cutting-edge AI/ML capabilities to detect and mitigate bot attacks in near real time.

Watch: Real-Time Botnet Defense at CVS: AI-Driven Detection and Mitigation on Databricks

​​Exytebuilt a generative AI-powered assistant on the Databricks Data Intelligence Platform that helps our teams verify code compliance more efficiently and accurately.

Watch: ReguBIM AI - Transforming BIM, Engineering, and Code Compliance with Generative AI

State Street partners with Databricks to pioneer a new standard in financial sector enterprise AI, balancing rapid AI democratization with strict regulatory and security requirements. Powered by Databricks, real-time observability calculates risk and accuracy metrics to detect issues before escalation, while model hosting ensures scalable LLM access, fortifying security and efficiency.

Watch:Responsible AI at Scale: Balancing Democratization and Regulation in the Financial Sector

Data and AI Governance

7-Elevenuses UCX by Databricks Labs, a Unity Catalog transition assistant, to leverage assessments, workflows and other features to assess, characterize, and ultimately plan a tenable UC migration.

Watch: Story of a Unity Catalog (UC) Migration: Using UCX at 7-Eleven to Reorient a Complex UC Migration

Northwestern Mutual leverages Databricks to deliver and evaluate guardrail models for AI safety, from prompt engineering with custom built frameworks, to hosting models served from the market place and beyond.

Watch: Building Trustworthy AI at Northwestern Mutual: Guardrail Technologies and Strategies

Unipol deployed Unity Catalog as a pivotal tool in the daily use of its data platform, offering a unified governance solution that supports data management across diverse AWS environments.

Watch: Leveraging Databricks Unity Catalog for Enhanced Data Governance in Unipol

FedEx uses Unity Catalog to overcome challenges in data governance and security, ensuring that sensitive information remained protected while still allowing appropriate access across the organization. This led to increased data literacy across the company, faster time-to-insight for business decisions, and significant cost-savings through improved operational efficiency.

Watch: How FedEx Achieved Self-Serve Analytics and Data Democratization on Databricks

BP adopted Unity Catalog to transform its enterprise-wide data strategy, breaking down silos while maintaining robust governance and security.

Watch: Low-Emission Oil & Gas: Engineering the Balance Between Clean and Reliable

T-Mobile deployed Databricks to manage 100s of terabytes daily, including Delta Lake for scalable architecture and Unity Catalog for auto-scaling clusters, performance optimization through data partitioning and caching and comprehensive data governance. Ultimately, these strategies empowered T-Mobile to innovate, streamline operations and maximize data impact across network optimization, supporting the community, energy management and more.

Watch: Managing Databricks at Scale

CoorsTekpartners with Databricks to leverage the power of Unity Catalog to address regulatory challenges while achieving significant operational efficiency gains.

Watch: Mastering Data Security and Compliance: CoorsTek's Journey With Databricks Unity Catalog

Corningdeployed Unity Catalog to optimize platform utilization and achieve significant cost reductions. As a result, the company has gained comprehensive visibility and governance over its data assets, leading to more informed decision-making and efficient resource allocation.

Watch: How Corning Harnesses Unity Catalog for Enhanced FinOps Maturity and Cost Optimization

State Street relies on the Databricks Data Intelligence Platform to manage and analyze diverse security data, enabling the company to: efficiently manage structured and unstructured data, scale up to analyze 50 petabytes of data in real-time, ingest and parse data for critical security data streams, build advanced cybersecurity data products, and use automation to streamline cybersecurity operations.

Watch: State Street Uses Databricks as a Cybersecurity Lakehouse for Threat Intelligence & Real-Time Alerts

Capital Oneleverages Delta Lake, Apache Spark™ Streaming, and Databricks tools to build a detection and correlation engine that can process millions of cybersecurity events per second.

Watch: Data Intelligence for Cybersecurity Forum: Insights From SAP, Anvilogic, Capital One, and Wiz

Morgan Stanleypartners with Databricks on a fully-managed compute and storage solution that supports the company in meeting its regulatory obligations with significantly reduced effort. This innovative approach enables rapid onboarding of new projects onto the platform, and improved operational efficiency while maintaining the highest levels of security and compliance.

Watch: Enhancing Efficiency With Security: How Morgan Stanley is Adopting a Fully-Managed Lakehouse

SAP uses Anvilogic on Databricks to adopt a modular, AI-powered detection engineering lifecycle.

Watch: Data Intelligence for Cybersecurity Forum: Insights From SAP, Anvilogic, Capital One, and Wiz

Navy Federal Creditimplemented Unity Catalog to provide an alternate path for accessing analytic semantic data from its data lake, as well as to remove duplicate data assets stored across multiple lakes, saving hundreds of thousands of dollars in data engineering efforts, compute and storage costs.

Watch: How Navy Federal's Enterprise Data Ecosystem Leverages Unity Catalog for Data + AI Governance

Westatimplemented a centralized Databricks platform to support hundreds of research projects for government, foundations, and private clients. This unified approach provides full financial visibility and governance while empowering data teams to deliver value.

Watch: FinOps: Automated Unity Catalog Cost Observability, Data Isolation and Governance Framework

Coinbase built a graph query engine on top of Databricks that enables complex traversal of massive observability data, to help users trace service dependencies, analyze upstream/downstream impacts, and uncover recurring error patterns, making it easier to diagnose issues and optimize system performance.

Watch: Graph-Powered Observability Data Analysis in Databricks With Credential Vending

Rabobank Credit uses Unity Catalog to transition to a secure, audit-ready data architecture, and address critical regulatory challenges in credit analytics.

Watch: Transforming Credit Analytics With a Compliant Lakehouse at Rabobank

Arctic Wolf uses Databricks to eliminate data silos and enhance its MDR pipeline to investigate suspicious threat actors for customers.

Watch: How Arctic Wolf Modernizes Cloud Security and Enhances Threat Detection with Databricks

Marvell taps the Databricks Data Intelligence Platform to power its AI-driven solutions, providing a robust framework for secure, compliant and transparent data and AI workflows. In particular, Unity Catalog ensures centralized management of data and AI assets with quality, security, lineage and governance guardrails.

Watch: Semiconductor AI Success: Marvell's Data + AI Governance

Nubank migrated to Unity Catalog to address the needs of their large-scale data environment. This resulted in improved data governance capabilities, enhanced security measures and a more user-friendly experience for the company's large user base, ultimately leading to better control and utilization of Nubank's vast data resources.

Watch: How Nubank improves Governance, Security and User Experience with Unity Catalog

Amgen adopted Databricks as the de facto standard for governance on structured data, establishing a unified, secure access control system with enhanced traceability, consistent access standards and comprehensive auditing.

Watch: Transforming Data Governance for Multimodal Data at Amgen With Databricks

Hinge Healthleverages Unity Catalog to deploy fine-grain access controls to support HIPAA compliance without compromising flexibility and collaboration.

Watch: HIPAA Without the Headache at Hinge Health: Simple PHI Governance With Fine Grain Access Control

Schiphol Grouprelies on Databricks to elevate its data operations, transitioning from a standard setup to the advanced capabilities of Unity Catalog.

Watch: Schiphol Group's Transformation to Unity Catalog

PepsiCo unifies its data and AI assets under Unity Catalog, enabling secure collaboration even for teams outside Databricks.

Watch: Powering Secure and Scalable Data Governance at PepsiCo With Unity Catalog Open APIs

Atlassian leverages Unity Catalog for fine-grained governance, enabling row and column level security at scale.

Watch: Reimagining Data Governance and Access at Atlassian

PicPayuses Unity Catalog to centralize metadata management, support regulatory compliance and control data access across multiple platforms.

Watch: Scaling Data Governance: How Unity Catalog is Empowering Picpay's Data Governance Strategy

National Australia Bank relies on Databricks to reshape its data and AI strategy by positioning data as a strategic enabler. Unity Catalog, Serverless, Gen AI, and Lakeflow underpin key architectural, security, and governance capabilities.

Watch: Scaling Data Intelligence at NAB: Balancing Innovation with Enterprise-Grade Governance