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.

As organizations increasingly leverage sensitive data for AI applications, generating high-quality synthetic data with mathematical guarantees of privacy has become crucial. This talk explores the use of Gretel Safe Synthetics (now part of NVIDIA) to generate differentially private synthetic data that maintains high fidelity to the source data and high utility on downstream tasks across heterogeneous datasets. Our analysis presents a framework for privacy-preserving synthetic data generation with two use cases: e-commerce reviews and doctor’s notes. We reveal nuanced strategies for: Calibrating privacy parameters ε and δ for mixed text and tabular data Maintaining statistical properties and high utility on downstream classification tasks under stringent privacy constraints (e.g. Quantifying resilience to membership inference and attribute inference attacks

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.

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.

Join us to hear about how Epsilon Data Management migrated Epsilon’s unique, AI-powered marketing identity solution from multi-petabyte on-prem Hadoop and data warehouse systems to a unified Databricks Lakehouse platform. This transition enabled Epsilon to further scale its Decision Sciences solution and enable new cloud-based AI research capabilities on time and within budget, without being bottlenecked by the resource constraints of on-prem systems. Learn how Delta Lake, Unity Catalog, MLflow and LLM endpoints powered massive data volume, reduced data duplication, improved lineage visibility, accelerated Data Science and AI, and enabled new data to be immediately available for consumption by the entire Epsilon platform in a privacy-safe way. Using the Databricks platform as the base for AI and Data Science at global internet scale, Epsilon deploys marketing solutions across multiple cloud providers and multiple regions for many customers.

Many studies have indicated that having a strong Data & AI culture helps our businesses be more successful. This can lead to better business performance, becoming more profitable and being more competitive compared to your peer companies as well as attaining and retaining top talent. What does it mean to have a Data & AI culture? It’s the ability for an organization to make data-driven decisions. It means using insights to improve your business results and using data ultimately allows you to enable AI. It tends to be the people that get in the way of having and sustaining an effective Data & AI culture. Do you have people already in your teams that can help you build your Data & AI culture? Can you attract and retain that talent to your organization? Can you help integrate that great talent into your organization to promote a Data & AI culture? It’s also ensuring that you fundamentally change the way you/your teams/organizations work.

This session is repeated. Get the most out of your AI/BI Dashboards by scaling them across your entire organization. This session covers best practices for automating report distribution, embedding dashboards in external applications, and ensuring secure access across all surfaces. You'll walk away with practical strategies for delivering insights to the right people at the right time—empowering decision-makers at every level with the data they need to drive impactful outcomes.

Delta Kernel makes it easy for engines and connectors to read and write Delta tables. It supports many Delta features and robust connectors, including DuckDB, Clickhouse, Spice AI and delta-dotnet. In this session, we'll cover lessons learned about how to build a high-performance library that lets engines integrate the way they want, while not having to worry about the details of the Delta protocol. We'll talk through how we streamlined the API as well as its changes and underlying motivations. We'll discuss some new highlight features like write support, and the ability to do CDF scans. Finally we'll cover the future roadmap for the Kernel project and what you can expect from the project over the coming year.

Databricks Unity Catalog (UC) is the industry’s only unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform. UC provides a single source of truth for organization’s data and AI, providing open connectivity to any data source, any format, lineage, monitoring and support for open sharing and collaboration. In this session we will discuss the challenges in upgrading to UC from your existing databricks Non-UC set up. We will discuss a few customer use cases and how we overcame difficulties and created a repeatable pattern and reusable assets to replicate the success of upgrading to UC across some of the largest databricks customers. It is co-presented with our partner Celebal Technologies.

Join us to hear about how National Australia Bank (NAB) successfully completed a significant milestone in its data strategy by decommissioning its 26-year-old Teradata environment and migrating to a new strategic data platform called 'Ada'. This transition marks a pivotal shift from legacy systems to a modern, cloud-based data and AI platform powered by Databricks. The migration process, which spanned two years, involved ingesting 16 data sources, transferring 456 use cases, and collaborating with hundreds of users across 12 business units. This strategic move positions NAB to leverage the full potential of cloud-native data analytics, enabling more agile and data-driven decision-making across the organization. The successful migration to Ada represents a significant step forward in NAB's ongoing efforts to modernize its data infrastructure and capitalize on emerging technologies in the rapidly evolving financial services landscape

Customer support is going through the GenAI revolution, but how can we use AI to foster deeper empathy with our end users?To enable this, Earnin has built its GenAI observability platform on Databricks, leveraging Lakeflow Declarative Pipeliness, Kafka and Databricks AI/BI.This session covers how we use Lakeflow Declarative Pipelines to monitor our customer care chatbot in near real-time and how we leverage Databricks to better anticipate our customers' needs.

In this session, we will explore how Genie, an AI-driven platform transformed HVAC operational insights by leveraging Databricks offerings like Apache Spark, Delta Lake and the Databricks Data Intelligence Platform.Key contributions: Real-time data processing: Lakeflow Declarative Pipelines and Apache Spark™ for efficient data ingestion and real-time analysis. Workflow orchestration: Databricks Data Intelligence Platform to orchestrate complex workflows and integrate various data sources and analytical tools. Field Data Integration: Incorporating real-time field data into design and algorithm development, enabling engineers to make informed adjustments and optimize performance. By analyzing real-time data from HVAC installations, Genie identified discrepancies between design specs and field performance, allowing engineers to optimize algorithms, reduce inefficiencies and improve customer satisfaction. Discover how Genie revolutionized HVAC management and apply to your projects.

Ever wondered how industry leaders handle thousands of ML predictions per second? This session reveals the architecture behind high-performance model serving systems on Databricks. We'll explore how to build inference pipelines that efficiently scale to handle massive request volumes while maintaining low latency. You'll learn how to leverage Feature Store for consistent, low-latency feature lookups and implement auto-scaling strategies that optimize both performance and cost. Key takeaways: Determining optimal compute capacity using the QPS × model execution time formula Configuring Feature Store for high-throughput, low-latency feature retrieval Managing cold starts and scaling strategies for latency-sensitive applications Implementing monitoring systems that provide visibility into inference performance Whether you're serving recommender systems or real-time fraud detection models, you'll gain practical strategies for building enterprise-grade ML serving systems.

HP’s 3D Print division empowers manufacturers with telemetry data to optimize operations and streamline maintenance. Using Delta Sharing, Unity Catalog and AI/BI dashboards, HP provides a secure, scalable solution for data sharing and analytics. Delta Sharing D2O enables seamless data access, even for customers not on Databricks. Apigee masks private URLs, and Unity Catalog enhances security by managing data assets. Predictive maintenance with Mosaic AI boosts uptime by identifying issues early and alerting support teams. Custom dashboards and sample code let customers run analytics using any supported client, while Apigee simplifies access by abstracting complexity. Insights from A/BI dashboards help HP refines data strategy, aligning solutions with customer needs despite the complexity of diverse technologies, fragmented systems and customer-specific requirements. This fosters trust, drives innovation,and strengthens HP as a trusted partner for scalable, secure data solutions.