Curious to know how Adidas is transforming customer experience and business impact with agentic workflows, powered by Databricks? By leveraging cutting-edge tools like MosaicML’s deployment capabilities, Mosaic AI Gateway, and MLflow, Adidas built a scalable GenAI agentic infrastructure that delivers actionable insights from growing 2 million product reviews annually. With remarkable results: 60% latency reduction (15.5 seconds to 6 seconds) 91.67% cost savings (transitioning to more efficient LLMs) 98.5% token efficiency, reducing input tokens from 200k to just 3k 20% increase in productivity (faster time to insight) Empowering over 500 decision-makers across 150+ countries, this infrastructure is set to optimize products and services for Adidas’ 500 million members by 2025 while supporting dozens of upcoming AI-driven solutions. Join us to explore how Adidas turned agentic workflows infra into a strategic advantage using Databricks and learn how you can do the same!

In today’s data-driven landscape, business users expect seamless, interactive analytics without having to switch between different environments. This presentation explores our web application that unifies a Power BI dashboard with Databricks Genie, allowing users to query and visualize insights from the same dataset within a single, cohesive interface. We will compare two integration strategies: one that leverages a traditional webpage enhanced by an Azure bot to incorporate Genie’s capabilities, and another that utilizes Databricks Apps to deliver a smoother, native experience. We use the Genie API to build this solution. Attendees will learn the architecture behind these solutions, key design considerations and challenges encountered during implementation. Join us to see live demos of both approaches, and discover best practices for delivering an all-in-one, interactive analytics experience.

Join cybersecurity leaders from SAP, Anvilogic, Capital One, Wiz, and Databricks to explore how modern data intelligence is transforming security operations. Discover how SAP adopted a modular, AI-powered detection engineering lifecycle using Anvilogic on Databricks. Learn how Capital One built a detection and correlation engine leveraging Delta Lake, Apache Spark Streaming, and Databricks to process millions of cybersecurity events per second. Finally, see how Wiz and Databricks’ partnership enhances cloud security with seamless threat visibility. Through expert insights and live demos, gain strategies to build scalable, efficient cybersecurity powered by data and AI.

Overflow Available First come, first serve. No reservation required. Where: Moscone South, Level 3, Room 302 Join the 60-minute kickoff session at the Financial Services Forum to explore how data and AI transform finance. Featuring keynotes from top innovators in banking, capital markets, and insurance and exciting announcements from Databricks, this event offers invaluable insights. What to expect: Business imperatives: Learn how institutions drive growth, reduce risk and boost efficiency with data intelligence Transformative vision: See how Databricks enhances fraud prevention, automates processes and personalizes experiences Cutting-edge insights: Discover the latest trends in data-driven finance Customer success stories: Hear how global leaders leverage data and AI for a competitive edge Connect with C-suite executives and industry pioneers shaping financial services. Leave with actionable strategies to drive growth, ensure compliance and transform your organization through intelligence-driven decisions!

Come hear from some of the biggest names in games about how Data and AI is helping them shape their future, build better games and create player-centric experiences. In this session you’ll hear, first, what Databricks is hearing from Games studios globally as their key priorities. We then shift to customers sharing their stories and perspectives. Dennis Ceccarelli from 2K Games sharing how his passion for building immersive, player-first experiences, has helped him shape the future of sports entertainment in the interactive space. You’ll leave invigorated on the impact Data and AI can have on games, and our global players and have new ideas on ways you can further your impact.

Join us for an engaging 60-minute Healthcare and Life Sciences Industry Forum at the year’s premier Databricks event! You’ll hear directly from Databricks experts and industry leaders about how unifying data, governing AI models and empowering teams with data intelligence can drive meaningful change across the healthcare and life sciences continuum. Discover how data and AI are transforming the industry — helping streamline healthcare operations, personalize patient care and accelerate breakthroughs in research and development. Don’t miss this opportunity to learn about the future of data-driven healthcare.

Join us for an inspiring forum showcasing how manufacturers and transportation leaders are turning today's challenges into tomorrow's opportunities. From automotive giants revolutionizing product development with generative AI to logistics providers optimizing routes for both cost and sustainability, discover how industry pioneers are reshaping the future of industrial operations. Highlighting this session is an exciting collaboration between Heathrow Airport and Virgin Atlantic, demonstrating how partnership and innovation are transforming the air travel experience. Learn how these leaders and other companies are using Databricks to tackle their most pressing challenges — from smart factory transformations to autonomous systems development — proving that the path to profitability and sustainability runs through intelligent operations.

Join us at the Media & Advertising Forum to explore how data and AI are transforming media and advertising from content to creative and identity to outcomes. Featuring innovators from leading agencies, platforms, streamers and ad tech — plus exciting announcements from Databricks — this session delivers must-have insights for industry leaders and change agents. What to expect: Business imperatives: Learn how media and advertising organizations navigate and grow through secular change leveraging Data + AI. Databricks leaders and customers will share how data intelligence is powering the next wave of innovation Future trends in Media & Advertising: Learn how data + AI will continue to shape the future of monetization, real-time personalization and intelligent storytelling Customer success stories: Discover how top media and advertising companies are using data intelligence to unlock new creative potential, increase agility and grow revenue

Join the 60-minute kickoff session at the Public Sector Forum for an opportunity to to accelerate innovation into your enterprise through governance, compliance and GenAI. Featuring keynotes from data-driven agency leaders and providing a future-looking journey from Databricks, this event offers invaluable insights. Understand the outcomes of Data and AI powering transformation across common areas of government and beyond: Improving constituent experience Reducing cost and enhancing services Identifying fraud, waste and abuse Achieving scale and security You will not want to miss this exclusive opportunity to own your data and eliminate government silos. Discover the Data + AI Company with deep compliance experience and widespread adoption.

Consumer industries are being transformed by AI as physical and digital experiences converge. In this flagship session for retail, travel, restaurants and consumer goods attendees at Data + AI Summit, Databricks and a panel of industry leaders will explore how real-time data and machine learning are enabling brands to gain deeper consumer insights, personalize interactions and move closer to true 1:1 marketing. From AI agents shopping on behalf of consumers to consumer-centric supply chains, discover how the most innovative companies will use AI to reshape customer relationships and drive growth in an increasingly connected world.

Introducing the First-Ever Telecom Industry Forum at DAIS 2025 For the first time ever, Data + AI Summit (DAIS) will feature a dedicated Telecom Industry Forum — your exclusive opportunity to connect with telecom peers, exchange ideas, and hear directly from visionary leaders who are redefining the future of communications with data and AI. This forum will showcase how telecom operators are using the Databricks Data Intelligence Platform to deliver measurable results — from optimizing operations and enhancing customer experience to enabling new revenue models — all while maintaining the interoperability and agility needed to thrive in an evolving landscape. Join us on Tuesday, June 10 at 4:00 PM for a compelling lineup of speakers: Matt Dugan, VP, Data Platforms, AT&T, will share how AT&T is reducing operational costs and improving productivity with a data-first strategy that continues to evolve. Jesse Ross, VP, Information Technology, Frontier Communications, will discuss how Frontier is unlocking new revenue and enhancing CX through a modern, AI-powered data platform. Dayle Stevens and Arnab Chakraborty will present the bold AI transformation journey of Telstra and Accenture, detailing how their joint venture is driving process reinvention and deploying agentic AI at scale. Guy Lupo, TM Forum, will outline a forward-looking blueprint for telco data and AI transformation — and share how TM Forum is collaborating with Databricks to future-proof the industry. This is a rare opportunity to hear from the leaders at the forefront of telecom innovation. Be inspired, connect with global industry peers, and take away actionable insights to lead your organization's next wave of transformation. The future of telecom is being built now — with Databricks and TM Forum at the center of it.

Westat, a leader in data-driven research for 60 years+, has implemented a centralized Databricks platform to support hundreds of research projects for government, foundations, and private clients. This initiative modernizes Westat’s technical infrastructure while maintaining rigorous statistical standards and streamlining data science. The platform enables isolated project environments with strict data boundaries, centralized oversight, and regulatory compliance. It allows project-specific customization of compute and analytics, and delivers scalable computing for complex analyses. Key features include config-driven Infrastructure as Code (IaC) with Terragrunt, custom tagging and AWS cost integration for ROI tracking, budget policies with alerts for proactive cost management, and a centralized dashboard with row-level security for self-service cost analytics. This unified approach provides full financial visibility and governance while empowering data teams to deliver value. Audio for this session is delivered in the conference mobile app, you must bring your own headphones to listen.

In this talk, we will explore how AI and advanced infrastructure are transforming Insulet's development and operations. We'll highlight how our innovations have reduced scrap part costs through manufacturing analytics, showcasing efficiency and cost savings. On leveraging Databricks AI solutions and productivity, it not only identifies errors but also fixes code and assists in writing complex queries. This goes beyond suggestions, providing actual solutions. On the infrastructure side, integrating Spark with Databricks simplifies setup and reduces costs. Additionally Databricks Lakeflow Connect enables real-time updates and simplification without much coding as we integrate with Salesforce. We'll also discuss real-time processing of patient data, demonstrating how Databricks drives efficiency and productivity. Join us to learn how these innovations enhance efficiency, cost savings and performance.

Spatial data is increasingly important, but working with it can be complex. In this session, we’ll explore how Databricks SQL supports spatial analysis and helps analysts and engineers get more value from location-based data. We’ll cover what’s coming in the Public Preview of Spatial SQL, when and how to use the new Geometry and Geography data types, and practical use cases for H3. You’ll also learn about common challenges with spatial data and how we're addressing them, along with a look at the near-term roadmap.

Learn how GenAI is being applied to financial services teams using Claude, an acknowledged leader in large language models. Integrated with the scale and security of the Databricks Data Intelligence Platform, we will share how Claude is enabling financial services organizations to streamline operations, maximize productivity for investment and compliance teams and in some cases turn traditional cost-centers into revenue drivers.

Master Data Management (MDM) is the foundation of a successful enterprise data strategy — delivering consistency, accuracy and trust across all systems that depend on reliable data. But how can organizations integrate trusted third-party data to enhance their MDM frameworks? How can they ensure that this master data is securely and efficiently shared across internal platforms and external ecosystems? This session explores how Dun & Bradstreet’s pre-mastered data serves as a single source of truth for customers, suppliers and vendors — reducing duplication and driving alignment across enterprise systems. With Delta Sharing, organizations can natively ingest Dun & Bradstreet data into their Databricks environment and establish a scalable, interoperable MDM framework. Delta Sharing also enables secure, real-time distribution of master data across the enterprise ensuring that every system operates from a consistent and trusted foundation.

Companies need a lot of data to build and deploy AI models—and they want it quickly. To meet this demand, platform teams are quickly scaling their Databricks usage, resulting in excess cost driven by inefficiencies and performance anomalies. Capital One has over 4,000 users leveraging Databricks to power advanced analytics and machine learning capabilities at scale. In this talk, we’ll share lessons learned from optimizing our own Databricks usage while balancing lower cost with peak performance. Attendees will learn how to identify top sources of waste, best practices for cluster management, tips for user governance and methods to keep costs in check.

In today’s logistics landscape, operational continuity depends on real time awareness and proactive decision making. This session presents an AI agent driven solution built on Databricks that transforms real time fleet IoT data into autonomous workflows. Streaming telemetry such as bearing vibration data is ingested and analyzed using FFT to detect anomalies. When a critical pattern is found, an AI agent diagnoses root causes and simulates asset behavior as a digital twin, factoring in geolocation, routing, and context. The agent then generates a corrective strategy by identifying service sites, skilled personnel, and parts, estimating repair time, and orchestrating reroutes. It evaluates alternate delivery vehicles and creates transfer plans for critical shipments. The system features human AI collaboration, enabling teams to review and execute plans. Learn how this architecture reduces downtime and drives resilient, adaptive fleet management.

Today’s supply chains demand more than historical insights–they need real-time intelligence. In this actionable session, discover how leading enterprises are unlocking the full potential of their SAP data by integrating it with Databricks and AI. See how CPG companies are transforming supply chain planning by combining SAP ERP data with external signals like weather and transportation data–enabling them to predict disruptions, optimize inventory, and make faster, smarter decisions. Powered by Databricks, this solution delivers true agility and resilience through a unified data architecture. Join us to learn how: You can eliminate SAP data silos and make them ML and AI-ready at scale External data sources amplify SAP use cases like forecasting and scenario planning AI-driven insights accelerate time-to-action across supply chain operations Whether you're just starting your data modernization journey or seeking ROI from SAP analytics, this session will show you what’s possible.

This session is repeated. In the race to revolutionize healthcare and drug discovery, biopharma companies are turning to AI to streamline workflows and unlock new scientific insights. This session, we will explore how NVIDIA BioNeMo, combined with Databricks Delta Lakehouse, can be used for advancing drug discovery for critical applications like molecular structure modeling, protein folding and diagnostics. We’ll demonstrate how BioNeMo pre-trained models can run inference on data securely stored in Delta Lake, delivering actionable insights. By leveraging containerized solutions on Databricks’ ML Runtime with GPU acceleration, users can achieve significant performance gains compared to traditional CPU-based computation.