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 Platform enables 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

NOV uses 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real-time data processing with automated ingestion from Salesforce and SAP, 83% fewer SQL queries after replacing outdated ETL with Lakeflow, and 97% lower TCO by eliminating third-party ETL tools and batch processing

Mastercard uses 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. 

Danone partnered 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. 

Trek uses 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.

Joby uses 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

Experian relies 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

Optiver harnesses 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 Go integrates 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 ensure operational 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

Activision uses 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 Bank transitioned 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

Vizient leverages 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 Foundation uses 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 Group adopted 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

ServiceNow harnesses 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

Lovelytics leverages 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

Arize uses 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 & Analytics uses 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

DraftKings leverages 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

Nikon leverages 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 Health used 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 Nordisk built 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

Petrobras revolutionized 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

CVS built 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

​​Exyte built 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-Eleven uses 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

CoorsTek partners 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

Corning deployed 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 One leverages 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 Stanley partners 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 Credit implemented 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

Westat implemented 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 Health leverages 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 Group relies 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

PicPay uses 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 

Data Engineering and Streaming

Adobe leverages Apache Spark Streaming and Delta Lake, along with over 25 Databricks deployments across multiple regions and clouds, in its Real-Time Customer Data Platform to process terabytes of data daily and handle over a million records per second.

Watch: Scaling Identity Graph Ingestion to 1M Events/Sec with Spark Streaming & Delta Lake

HP Inc. uses Databricks serverless compute and Lakeflow Declarative Pipelines to streamline Adobe Analytics data ingestion, making it faster, cheaper and easier to operate. 

Watch: Serverless as the New "Easy Button": How HP Inc. Used Serverless to Turbocharge Their Data Pipeline

SEGA adopted Lakeflow Declarative Pipelines to simplify complex streaming pipelines, as well as support automated schema evolution, simple data quality management and seamless streaming reliability. 

Watch: Unlocking Streaming Power: How SEGA Wins With Lakeflow Declarative Pipelines

Zillow uses Databricks Lakeflow Declarative Pipelines to enforce scalable, production-grade data quality.

Watch: Scaling Data Quality at Zillow: Migrating and Enhancing Data Quality Systems on Databricks

Elliptic relies on Structured Streaming, Delta Lake and other Databricks solutions to fundamentally change the way it delivers user-facing analytics to improve not only speed and scalability, but also enable analytics to directly enhance the accuracy and intelligence of its operational systems.

Watch: Crypto at Scale: Building a Cost-Efficient, High-Performance Platform for Real-Time Blockchain Data

Barracuda’s XDR adopted Databricks as the foundation of its security analytics platform to greater control and flexibility, as well as decouple from traditional SIEM tools. The company leverages Lakeflow Declarative Pipelines, Spark Structured Streaming and detection-as-code CI/CD pipelines to build a real-time detection engine that enhanced scalability, accuracy and cost efficiency.

Watch: How Databricks Powers Real-Time Threat Detection at Barracuda XDR

Insulet leverages Databricks AI solutions to fix code and assist in writing complex queries. Integrating Apache Spark™ with Databricks also simplifies setup and reduces costs, while Databricks Lakeflow Connect enables real-time updates. 

Watch: From Code to Insights: Leveraging Advanced Infrastructure and AI Capabilities

Earnin taps Lakeflow Declarative Pipelines and Databricks AI/BI to build its GenAI observability platform. 

Watch: GenAI Observability in Customer Care

DraftKings uses Spark Structured Streaming, Apache Kafka, and Databricks Dashboards to transform raw simulation outputs into actionable data to enable fine-grained control over pricing, leading to more accurate odds, a more efficient sportsbook, and an elevated customer experience.

Watch: Building Real-Time Sport Model Insights with Spark Structured Streaming

Lennox uses several tools on the Databricks Data Intelligence Platform, including Apache Spark and Delta Lake, to analyze real-time data from HVAC installations to identify discrepancies between design specs and field performance, allowing engineers to optimize algorithms, reduce inefficiencies and improve customer satisfaction. 

Watch: Genie for Engineering: Optimizing HVAC Design and Operational Insights With Data and AI

Bayada consolidated Snowflake and other systems into a Databricks-powered Enterprise Data Platform that is expected to reduce data processing times by 35%, improve reporting accuracy and cut reconciliation efforts by 40%, lower operational costs by 20%, and use real-time analytics to boost efficiency by 15%.

Watch: Bayada’s Snowflake-to-Databricks Migration: Transforming Data for Speed & Efficiency

Quantum Capital Group uses Delta tables, Apache Spark™ SQL, and Unity Catalog to build a golden dataset that powers proprietary evaluation models and automates complex workflows. With Databricks, data is seamlessly curated, enriched and distributed — both internally and to external stakeholders — in a secure, governed and scalable way.

Watch: De-Risking Investment Decisions: QCG's Smarter Deal Evaluation Process Leveraging Databricks

Stack Overflow uses Databricks Asset Bundles (DABs) to optimize its data engineering workflows for scalable and efficient pipeline deployments. 

Watch: Harnessing Databricks Asset Bundles: Transforming Pipeline Management at Scale at Stack Overflow

The Global Water Security Center uses a lakehouse architecture, Auto Loader, Apache Spark™ Streaming, Spatial SQL, H3 geospatial indexing and Databricks Liquid Clustering to translate environmental science into actionable insights for the U.S. Department of Defense in a matter of seconds, instead of multiple business days. The organization also incorporates Databricks Workflows, Databricks Asset Bundles, Git and Git Actions to support CI/CD across workspaces.

Watch: From Days to Seconds — Reducing Query Times on Large Geospatial Datasets by 99%

Bradesco Bank uses the Databricks Data Intelligence Platform to power its new in-house Customer Data Platform. Using tools like Uniform and Lakeflow Declarative Pipelines, the company increases data integrity, reduces latency and processing time and, most importantly, boosts personal productivity and business agility. 

Watch: Transforming Customer Processes and Gaining Productivity With Lakeflow Declarative Pipelines

Globe Telecom relies on Databricks Workflow to transition from fragmented processes to an integrated, scalable system. For example, building automated pipelines streamlines model development, inference and monitoring and ensures reliability in production. 

Watch: Databricks as the Backbone of MLOps: From Orchestration to Inference

Delaware BeLux leverages Databricks Lakeflow Connect to extract data directly from the source without the complex architecture in between to avoid data loss and data quality issues, driving more efficient and intelligent data provisioning.

Watch: Lakeflow Connect: The Game-Changer for Complex Event-Driven Architectures

DigiCert uses Apache Spark™ for parallel processing and Structured Streaming for real-time ingestion and deduplication. It also uses Delta tables for data reliability, pools and jobs to ensure costs are optimized and to keep data fresh, accurate and cost-effective. 

Watch: Supercharging Sales Intelligence: Processing Billions of Events via Structured Streaming

Porsche Holding adopted Lakeflow Connect to enable dedicated CRM and data science teams to be more productive and focus on their core work to help innovate, instead of spending valuable time on the data ingestion integration. 

Watch: Unifying Customer Data to Drive a New Automotive Experience With Lakeflow Connect

Mastercard implemented Delta Lake to optimize data pipelines, resulting in an 80% reduction in query time and a 70% reduction in storage space. The company also uses Databricks Workflows to execute compute-intensive pipelines across multiple clusters, significantly reducing processing time from months to days. 

Watch: Scaling Data Engineering Pipelines: Preparing Credit Card Transactions Data for Machine Learning

United Airlines collaborated with Impetus and Databricks, including Apache Spark™-based processing, to analyze over 20 million rows of data in under ten minutes, including automated health checks to minimize anomalies and a scalable, user-friendly revenue forecasting dashboard, ultimately reducing operational costs by 50% and accelerating data-to-insight workflows. 

Watch: Real Time Learning and Analyzing: SWIM Data Ingestion on Databricks Brings Situational Awareness and Decision-Making Speed

CK Delta built a streaming pipeline on Lakeflow Declarative Pipelines that connects directly to Databricks Dashboards, providing stakeholders with immediate insights into their operational metrics.

 Watch: Real-Time Analytics Pipeline for IoT Device Monitoring and Reporting

Swiggy uses Databricks Lakehouse architecture, along with Unity Catalog, to power critical AI applications, like demand forecasting, route optimization, personalized recommendations, predictive delivery SLAs, and Generative AI use cases.

Watch: How an Open, Scalable and Secure Data Platform is Powering Quick Commerce Swiggy's AI

Data Lakehouse Architecture and Implementation

T-Mobile made Databricks the central hub for its cross-platform interoperability, enabling seamless Snowflake integration through Unity Catalog and the Iceberg REST API. This flexible, vendor-agnostic architecture bridged Databricks and Snowflake without compromising performance or security.

Watch: Breaking Silos: Enabling Databricks-Snowflake Interoperability With Iceberg and Unity Catalog

Bayer’s Consumer Health division utilized the Databricks Data Intelligence Platform to develop reusable core data assets and scalable data products. This globally distributed platform supports cost-efficient dashboarding, ad hoc analytics, machine learning and AI solutions, empowering thousands of stakeholders worldwide. 

Watch: Insights for All — Bayer Consumer Health’s Journey on Self-Service Analytics at Scale

Barclays leverages the Databricks Lakehouse in a framework to achieve both data flexibility and ACID transaction guarantees essential for FinCrime monitoring. The framework incorporated advanced ML models for anomaly detection, pattern recognition, and predictive analytics, while maintaining clear data lineage & audit trails required by regulatory bodies, to reduce false positives, improve detection speed, and accelerate regulatory reporting.

Watch: Enterprise Financial Crime Detection: A Lakehouse Framework for FATF, Basel III, and BSA Compliance

Capital One Financial uses Delta Lake and an optimization model, along with Databricks photon and Apache Spark™ Connect, to build a highly-functional, cost-effective and performant security information and event management user experience. 

Watch: Delta and Databricks as a Performant Exabyte-Scale Application Backend

Nationwide leverages Databricks’ serverless technology and Unity Catalog to build scalable, world-class BI solutions. Key features like AI/BI Dashboards, Genie, Materialized Views, Lakehouse Federation and Lakehouse Apps empowered business teams to deliver faster, scalable and smarter insights, ultimately enabling Nationwide to unlock new levels of efficiency and business impact. 

Watch: How Serverless Empowered Nationwide to Build Cost-Efficient and World Class BI

Italgas deployed the Data Intelligence Platform to create a more responsive, efficient, and sustainable gas network. Migrating to Databricks SQL, the company achieved 50% cost reduction and 20% performance boost. Italgas deployed 41 ML/GenAI models in production, with 100% of workloads governed by Unity Catalog, as well as empowered 80% of employees with self-service BI through Genie Dashboards. 

Watch: Italgas’ AI Factory and the Future of Gas Distribution

DoorDash relies on Delta Lake to build the "DoorDash Customer 360 Data Store," which represents a foundational step in centralizing and managing customer profiles to enable targeting and personalized customer experiences. 

Watch: Doordash Customer 360 Data Store and Its Evolution to Become an Entity Management Framework

DoorDash adopted Databricks to eliminate excessive data movement, create seamless integration and consolidate query engine layers, optimize query performance, and create a unified metadata catalog used across various compute platforms. 

Watch: Iceberg Table Format Adoption and Unified Metadata Catalog Implementation in Lakehouse Platform

The Texas Rangers deployed Databricks to stay one step ahead in the hyper-competitive world of baseball.

Watch: How the Texas Rangers Use a Unified Data Platform to Drive World Class Baseball Analytics

Riskified leverages Databricks’ native Apache Iceberg™ support and Unity Catalog to build a next-generation lakehouse. 

Watch: Breaking the Ice(berg): Riskified’s Journey to its Next-Generation Lakehouse

HelloFresh uses Unity Catalog as the Apache Iceberg™ REST catalog of choice for storing metadata and managing tables. 

Watch: Apache Iceberg™ with Unity Catalog at HelloFresh

Bagelcode utilizes Delta Lake to redesign ETL pipelines, optimize partitioned table logs and execute a seamless migration with minimal disruption. This effort improved governance, simplified management and unlocked Unity Catalog’s advanced features. Bagelcode also integrates the Genie Room with Slack to enable natural language queries, accelerating decision-making and operational efficiency. And Unity Catalog revolutionizes its data ecosystem, elevating governance and innovation. 

Watch: Embracing Unity Catalog and Empowering Innovation With Genie Room

Bosch deployed Databricks as its core data platform. The central data lakehouse integrates seamlessly with transformative components, such as dbt and LLMs, to drive actionable insights and operational excellence across complex supply chain processes.

Watch: End-to-End Interoperable Data Platform: How Bosch Leverages Databricks Supply Chain Consolidation

Games24x7 uses Databricks Apache Spark™, Delta Lake, UC, MLflow and Databricks SQL to cut costs by 20% and unlock business value through data democratization. The company built several data products on Databricks, including EventEcho, a digital campaign optimization platform that enabled a 5% increase in user acquisition in Games24x7’s core market. 

Watch: Games24x7's Revolutionizing Online Skill Gaming With Databricks

Tonal leverages Apache Spark™, MLflow, and Workflows within its Training Goal (TG) ecosystem, a four-part solution that introduced new preference options to capture users' fitness aspirations. With Databricks, the company computes TG metrics, manages model development, and orchestrates data pipelines, supporting scalability, reliability, and a more meaningful, personalized way for members to track their progress.

Watch: Empowering Progress: Building a Personalized Training Goal Ecosystem with Databricks

Disney leverages cutting-edge Databricks features, such as liquid clustering, Photon with dynamic file pruning, Delta's identity column, Unity Catalog and more, to build Foundational Medallion, a cornerstone in its architecture that redefines how the company manages data at scale.

Watch: Disney's Foundational Medallion: A Journey Into Next-Generation Data Architecture

Supercell partners with Databricks and Snowplow to build a scalable, privacy-compliant data platform for real-time insights.

Watch: Leveling Up Gaming Analytics: How Supercell Evolved Player Experiences With Snowplow and Databricks

Nasdaq uses Databricks to transition from disjointed systems to a unified platform. 

Watch: How We Transformed Two Businesses With Databricks as the Cornerstone

Bayer’s Consumer Health division utilized the Databricks Platform to develop reusable core data assets and scalable data products. This globally distributed platform supports cost-efficient dashboarding, ad hoc analytics, machine learning and AI solutions, and empowers thousands of stakeholders worldwide. 

Watch: Insights for All — Bayer Consumer Health’s Journey on Self-Service Analytics at Scale

Dow Inc. implemented the Databricks platform to transform its ability to track and reduce carbon footprints while driving operational efficiencies, resulting in significant cost savings through optimized maintenance and reduced downtime. 

Watch: Manufacturing Cleaner: How Data Intelligence Cuts Carbon, Not Profits

Michelin leverages Databricks in its ambitious strategy to achieve 3% energy consumption reduction by 2026. 

Watch: Manufacturing Cleaner: How Data Intelligence Cuts Carbon, Not Profits

Adobe uses the Databricks security lakehouse, along with sophisticated data security architecture and the Open Cybersecurity Schema Framework, for scalable, real-time threat detection across over 10PB of security data. 

Watch: Adobe’s Security Lakehouse: OCSF, Data Efficiency and Threat Detection at Scale

ThredUp adopted Delta Lake and Unity Catalog to improve data management, as well as power analytics, machine learning, and real-time decision-making.

Watch: ThredUp’s Journey with Databricks: Modernizing Our Data Infrastructure

P&G implemented Unity Catalog to enhance data governance, reduce data redundancy and improve the developer experience through the enablement of a Lakehouse architecture. 

Watch: Unlocking Enterprise Potential: Key Insights from P&G's Deployment of Unity Catalog at Scale

Eli Lilly and Company partners with Databricks to build a Global Manufacturing Data Fabric (GMDF), laying the groundwork for transformative data products used by various personas at sites and globally. 

Watch: Transforming Bio-Pharma Manufacturing: Eli Lilly's Data-Driven Journey With Databricks

Boeing taps MLflow, GenAI, and Delta Sharing technologies to support its Jeppesen Smart NOTAMs system, which processes over 4.5M critical flight notices annually and serves 75% of commercial aviation, demonstrating the power of compound AI in aviation safety. 

Watch: Smart Data, Smarter Vehicles: Building the Foundation for the Future of Transportation

Health Catalyst uses Databricks to transform its CI/CD strategy. Now, Databricks Asset Bundles are unlocking greater agility and efficiency for the healthcare data and analytics provider, including streamlining deployments across both customer workspaces and Health Catalyst’s core platform to accelerate time to insights and drive continuous innovation. 

Watch: A Prescription for Success: Leveraging DABs for Faster Deployment and Better Patient Outcomes

Epsilon Data Management uses Delta Lake, Unity Catalog, MLflow and LLM endpoints to power massive data volume, reduce data duplication, improve lineage visibility, accelerate data science and AI, and enable new data to be immediately available for consumption by the entire Epsilon platform in a privacy-safe way.

Watch: AI Powering Epsilon's Identity Strategy: Unified Marketing Platform on Databricks

Pella Corporation uses Databricks solutions, including liquid clustering, managed schema/table within Unity Catalog, and BI analytical dashboard, to drive better performance optimization and cost savings. For example, Databricks Asset Bundles for workflows/jobs deployment resulted in significant cost savings of more than $30K/year. 

Watch: Pella Next Generation: Implement Optimization Techniques and Automated Deployments for Cost Savings

Kaizen Gaming uses Unity Catalog to ensure governance and security in its new, redesigned cloud architecture. Delta Sharing and DBx Asset Bundles also simplified transitions, resulting in faster insights, improved cost control and reduced onboarding time. 

Watch: Redesigning Kaizen's Cloud Data Lake for the Future

LSports adopted Apache Iceberg™ to build a modern lakehouse architecture and leverages Databricks advanced Iceberg support to take it to the next level.

Watch: Unlocking the Power of Iceberg: Our Journey to a Unified Lakehouse on Databricks

Data Sharing and Collaboration

Dun & Bradstreet relies on Delta Sharing to enable secure, real-time distribution of master data across the enterprise ensuring that every system operates from a consistent and trusted foundation.

Watch: Scaling Modern MDM With Databricks, Delta Sharing and Dun & Bradstreet

Procore uses Delta Sharing and a lakehouse architecture to deliver game-changing results for its customers and business, including enabling data professionals to unlock the full potential of their data assets and drive meaningful business outcomes. 

Watch: Site to Insight: Powering Construction Analytics Through Delta Sharing

Sleep Number deployed Unity Catalog and Delta Sharing to facilitate the sharing of anonymized datasets across Databricks workspaces and accounts, spanning multiple cloud environments such as AWS, Azure, and GCP. This enables accelerated insights while ensuring compliance with data security and privacy standards.

Watch: Enabling Sleep Science Research With Databricks and Delta Sharing

FreeWheel, a Comcast company, selected Databricks Clean Rooms to programmatically enforce k-anonymization constraints and differential privacy, enabling secure and flexible data exploration.

Watch: Unlocking TV Viewership Insights: Privacy-Compliant Data Sharing with Clean Rooms

HP’s 3D Print division uses Delta Sharing, Unity Catalog and AI/BI Dashboards to provide a secure, scalable solution for data sharing and analytics, enabling seamless data access even for customers not on Databricks.  

Watch: How HP Is Optimizing the 3D Printing Supply Chain Using Delta Sharing

Walmart built Cloud Feeds on Databricks Delta Sharing, allowing customers to more easily access data at much lower effort and without a dedicated technical team behind the scenes to make it happen. 

Watch: Cloud-to-Cloud Data Sharing by Walmart: Direct Access to Omni-Channel Sales Data With Delta Sharing

Deep Sync leverages the Databricks Lakehouse to manage an identity spine that contains the most accurate and up-to-date attribute data for over 98% of U.S. households.

Watch: Data Monetization Through Delta Sharing and Data Clean Rooms

Danone uses Delta Sharing to help migrate from a traditional hub-and-spoke model to a more efficient and scalable data-sharing approach that worked seamlessly across regions and platforms.

Watch: How Danone Enhanced Global Data Sharing with Delta Sharing

Komodo Health uses Delta Sharing to unlock new opportunities across the life sciences ecosystem, including using de-identified longitudinal patient data without compromising patient privacy. 

Watch: How Data Sharing is Transforming Healthcare: Real World Insights

Intuit leverages Databricks Clean Rooms to create a secure, privacy-safe lending marketplace that enables small business lending partners to perform analytics and deploy ML/AI workflows on sensitive data assets.

Watch: Intuit's Privacy-Safe Lending Marketplace: Leveraging Databricks Clean Rooms

Mercedes-Benz relies on Databricks solutions, including Delta Sharing, to achieve a unified development experience for teams working on Mercedes-Benz Data Platforms in AWS and Azure.

Watch: Cross-Cloud Data Mesh with Delta Sharing and UniForm in Mercedes-Benz

Data Strategy

Goldman Sachs uses Databricks in its Legend Lakehouse to deliver high-quality, governed data at scale. Apache Iceberg and Unity Catalog ensured platform interoperability and vendor neutrality. Unity Catalog also provides a robust entitlement system that aligns with the company’s data contracts, ensuring consistent access control across producer and consumer workspaces. 

Watch: Learning from Goldman Sachs' Legend Lakehouse for Data Governance

FIS Global, PicPay, HSBC and other leading banks leverage Databricks to uncover new revenue opportunities, deepen customer relationships, and expand market reach. 

Watch: Scaling Success: How Banks are Unlocking Growth With Data and AI

Alabama Power Company uses Databricks to modernize its grid management and storm preparedness, including developing applications that combine real-time data and predictive analytics to improve reliability, efficiency, and customer service.Watch: Modernizing Critical Infrastructure: AI and Data-Driven Solutions in Nuclear and Utility Operations

Second Dinner implemented real-time Feature Serving with Databricks to support personalized, responsive gameplay experiences at scale.

Watch: Real World Use Cases for Gaming With Data and AI

Seven West Media uses Databricks to accelerate the launch of AI-driven use cases, foster innovation and reduce time to market. 

Watch: Databricks AI Factory Transforming Seven West Media

Rheem relies on Databricks for rapid data product development and efficient data sharing across the organization. This unlocks significant business value across sales, procurement, service and operations and enhances decision-making and operational efficiency. 

Watch: Transforming Data at Rheem: From Silos to Scalable Data Lakehouse With Databricks and Unity Catalog

Morgan Stanley leverages Databricks to scale one of its most significant regulatory calculators (SACCR) to improve performance, calculation accuracy, regulatory compliance and more.

Watch: Revolutionizing Counterparty Credit Risk (SACCR) – How Morgan Stanley Scaled With Databricks

Mastercard developed a novel service atop Databricks Clean Rooms (and the broader Data Intelligence Platform) that combines several Databricks components with Mastercard’s IP to provide an evolved method for data-driven insights and value-added services, while ensuring a unique, standalone, turnkey service. The result is a secure environment where multiple parties can collaborate on sensitive data without directly accessing each other’s information. 

Watch: Evolving Data Insights With Privacy at Mastercard

FrieslandCampina uses Databricks in its global data platform to support high-impact use cases and AI-driven decision-making, as well as unified governance with Unity Catalog.

 Watch: Data Drives Dairy: Royal FrieslandCampina's Data-Centric Transformation With Databricks

84.51˚ utilizes a lakehouse architecture to help data scientists and engineers with data exploration, analysis, machine learning operations, orchestration, automated deployments and collaboration. 

Watch: Developing the Dreamers of Data + AI’s Future: How 84.51˚ builds upskilling to accelerate adoption

GovTech adopted Databricks at the core of its GovTech Data Platform, allowing it to offer stakeholders data services based on their data maturity. A plethora of data assets, ranging from raw data to data products, are all delivered via Databricks and enabled through fine-grained access control, underpinned by data management best practices, such as data quality, security and governance.

 Watch: Transforming Government With Data and AI: Singapore GovTech's Journey With Databricks

J.P. Morgan Payments leverages Databricks and AWS solutions in its data platform used to create customer products, including Cash Flow Intelligence.

Watch: Democratizing Data in a Regulated Industry: Best Practices and Outcomes With J.P. Morgan Payments

Techcombank deployed the Databricks Data Intelligence Platform to more efficiently unify data from over 50 systems, improve governance, streamline daily operational analytics pipelines and use advanced analytics tools and AI to create more meaningful and personalized experiences for customers. 

Watch: Techcombank's Multi-Million Dollar Transformation Leveraging Cloud and Databricks

Standard Chartered Bank uses Databricks to replace a traditional SIEM and achieve remarkable business outcomes, including an 80% reduction in time to detect incidents, 92% faster threat investigation, 35% cost reduction and 60% better detection accuracy. 

Watch: Revolutionizing Cybersecurity: SCB's Journey to a Self-Managed SIEM

GM Financial leverages Databricks to design and implement a cutting-edge cloud analytics platform, overcoming challenges such as dispersed and limited data capabilities, high-cost hardware and outdated software to develop a unified Customer360 view with established, robust data governance and cybersecurity measures. 

Watch: Revolutionizing Data Insights and the Buyer Experience at GM Financial with Cloud Data Modernization

Data Warehousing

PacificSource Health Plans migrated all of its data and analytics ecosystem to a lakehouse. 

Watch: Migrating Legacy SAS Code to Databricks Lakehouse: What We Learned Along the Way

Walmart relies on the Data Intelligence Platform to enable seamless data integration, high-performance analytics and governed sharing, including using AI/BI Genie to empower self-service analytics, driving non-technical user adoption, ultimately cutting time to value by 90% and costs by $5.6M annually. 

Watch: Self-Service Assortment and Space Analytics at Walmart Scale

Rivian Volkswagen Group Technology taps Unity Catalog, along with Databricks Apps, Workflows and native capabilities, to create a single source of truth and streamline governance, ensuring compliance without hindering innovation. It also maximizes the value of that catalog by leveraging semantics to enable trustworthy, AI-driven self-service in AI/BI dashboards and downstream apps. 

Watch: Smashing Silos, Shaping the Future: Data for All in the Next-Gen Ecosystem

PepsiCo uses Databricks SQL serverless to transform its outdated data platform into a modern, unified and centralized data and AI-enabled platform. This platform facilitates the delivery of diverse data-driven insights to the business, reduces operational expenses and enhances overall performance. 

Watch: Revolutionizing PepsiCo BI Capabilities: From Traditional BI to Next-Gen Analytics Powerhouse

Funplus leverages Databricks to build a cost-effective and efficient data platform that tackles key challenges, enhances data engineering and ML efficiency, and showcases best practices and their impact on game development and operations.

Watch: Cost-Effective Data Architecture and AI Practice With Databricks at FunPlus

NCS Australia integrates Databricks SQL, the DBT Transform framework and its innovative test automation framework to optimize performance and scalability, while ensuring data quality. Unity Catalog empowers business units with self-serve analytical workspaces to create insights while maintaining control. 

Watch: Accelerating Data Transformation: Best Practices for Governance, Agility and Innovation

Haleon uses Databricks APIs and serverless compute to develop customer-facing applications that enable the company to eliminate the friction associated with directly accessing SAP data from operational systems, while enhancing its performance capabilities. With Databricks, Haleon achieves response times of less than 3 seconds from API calls. The implementation of this solution also yielded a 15% reduction in customer service costs and a 28% increase in productivity for its customer support team.

Watch: Crafting Business Brilliance: Leveraging Databricks SQL for Next-Gen Applications

The World Bank integrates Databricks as its core serving layer to build a unified data platform that meets diverse business needs. It leverages Databricks SQL to efficiently deliver data to analytics tools and downstream applications and Delta Sharing to enable secure and cost-effective data distribution. 

Watch: Unifying Data Delivery: Using Databricks as Your Enterprise Serving Layer

First Horizon Bank uses the Data Intelligence Platform to build an Enterprise Data Hub to drive growth, efficiency and readiness, including unlocking advanced analytics and GenAI possibilities. 

Watch: Revolutionizing Banking Data, Analytics and AI: Building an Enterprise Data Hub With Databricks

HP Print migrated to a modular and scalable data ecosystem on a lakehouse, resulting in 30–40% cost savings, scalable and isolated resources for different data consumers and ETL workloads, and performance optimization for a variety of query types.​

Watch: HP's Data Platform Migration Journey: Redshift to Lakehouse

If you need more inspiration for how to use data and AI to power innovation, productivity, and data intelligence at your organization, watch these and 200+ more customer sessions from the 2025 Data + AI Summit on demand. 

See the latest customer stories to learn how data and AI teams are using Databricks solutions to build innovative data and AI solutions.