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A Conversation With AI influencer Josue Bogran

This high-velocity workshop is designed for data and AI leaders seeking to rapidly develop a comprehensive AI strategy tailored to their organization's needs. In just 30 minutes, participants will engage in a focused, interactive session that delivers actionable insights and a strategic framework for AI implementation. Key components of the workshop include: <ul>	<li>Rapid assessment: Quickly evaluate your organization's AI readiness and potential impact areas</li>	<li>Strategic alignment: Align AI initiatives with core business objectives and value creation opportunities</li>	<li>Resource optimization: Identify critical resources, skills and technologies required for successful AI adoption</li>	<li>Risk mitigation: Address key challenges and ethical considerations in AI deployment</li>	<li>Priority areas: Where to focus first to get the best start</li></ul> By the end of this intensive session, you will have the foundation of a robust AI strategy and guidance on roadmap execution.

Lead Data & AI Strategist

Lexy Kassan

AI in Motion: Build a Roadmap for Impact in Just 30 Minutes


AI/BI Genie lets anyone simply talk with their own data, using natural language, fully secured through UC to provide accurate answers within the context for your organization. AI/BI Dashboards goes beyond traditional BI tools, democratizing everyone to self-serve immediate interactive visuals on your own secured data. Hear from a customer and Databricks experts on the latest developments.

Senior Director, Analytics

Tim Riddle

Director of Product Marketing

Richard Tomlinson

AI/BI Genie & Dashboards: Talk With Your Data With GenAI Powered Business Intelligence

Databricks SQL is the fastest-growing data warehouse on the market, with over 10k organizations thanks to its price performance and AI innovations. See the best practices and common architectural challenges of migrating your legacy DW, including reference architectures. Learn how to easily migrate per the recently acquired the Lakebridge migration tool, and through our partners.

Sr. Specialist Solutions Architect

Laurent Léturgez

Best Practices for Data Warehouse Migrations 

Discover how to build and deploy AI-powered applications natively on the Databricks Data Intelligence Platform. This session introduces best practices and a standard reference architecture for developing production-ready apps using popular frameworks like Dash, Shiny, Gradio, Streamlit and Flask. Learn how to leverage agents for orchestration and explore primary use cases supported by Databricks Apps, including data visualization, AI applications, self-service analytics and data quality monitoring. With serverless deployment and built-in governance through Unity Catalog, Databricks Apps enables seamless integration with your data and AI models, allowing you to focus on delivering impactful solutions without the complexities of infrastructure management. Whether you're a data engineer or an app developer, this session will equip you with the knowledge to create secure, scalable and efficient applications within a Databricks environment.

Staff Software Engineer

Andre Furlan Bueno

Build AI-Powered Applications Natively on Databricks

Come learn about the latest tools to keep your team under budget and optimize your data ROI. Managing the costs of data consumption, attributing to projects, and understanding TCO is top of mind for customers. We will discuss implementing FinOps, observability around cost management. Workloads, consumption, users, what they worked on - and how to optimize it all.

Product Manager, Billing

Greg Kroleski

Cost Management and Observability: How Customers Monitor and Control Their Consumption

Maximize the value of your company’s marketing efforts with Data Intelligence for Marketing. Databricks provides seamless, out-of-the-box integration with your ecosystem, empowering every marketer with self-serve insights. And with AI-driven CDP, you get a complete view of customers and campaigns.

Sr Director Marketing Analytics

Anoop Muraleedharan

Data Intelligence for Marketing

Hear more on the latest in data collaboration, which is paramount to unlocking business success. Delta Sharing is an open-source approach to share and govern data, AI models, dashboards, and notebooks across clouds and platforms - without the costly need for replication. Databricks Clean Rooms provide safe hosting environments for data collaboration across companies, also without the costly duplication of data. And the Databricks Marketplace is the open marketplace for all your data, analytics, and AI needs.

VP Engineering

Zaheera Valani

Data Sharing and Collaboration

With organizations collecting more and more data every day, the accuracy, trustworthiness, and accessibility of data must be prioritized if businesses want to unlock its value and grow ROI. And, that's where data democratization and data strategy can help. Hear from Robin Sutara, Field CDO, on top insights from her global experiences.

Field CDO

Robin Sutara

Data Strategy: Democratizing Consumption and Growing ROI

Writing SQL is a core part of any data analyst’s workflow, but small inefficiencies can add up, slowing down analysis and making it harder to iterate quickly. In this session, we’ll explore our powerful features in the Databricks SQL editor and notebook that help you to be more productive when writing SQL on Databricks. We’ll demo the new features and the customer use cases that inspired them.

Senior Product Manager

Jason Messer

Elevate SQL Productivity: The Power of Notebooks and SQL Editor

Arsalan Tavakoli-Shiraji co-founded Databricks, growing it to one of the most influential tech companies in history. Arsalan will expand from the mainstage keynotes, and discuss how companies are implementing, monetizing, and scaling data intelligence.

Co-founder and SVP of Field Engineering

Arsalan Tavakoli-Shiraji

Head of Technical Evangelism

Ari Kaplan

Fireside Chat with Arsalan Tavakoli, Databricks co-Founder

Matei is a legend of open source: he started the Apache Spark project in 2009, co-founded Databricks, and worked on other widely used data and AI software, including MLflow, Delta Lake, and Dolly. His most recent research is about combining large language models (LLMs) with external data sources, such as search systems, and improving their efficiency and result quality. This will be a conversation coverering the latest and greatest of UC, Data Intelligence, AI Governance, and more.

Original Creator of Apache Spark™ and MLflow; Co-founder and CTO

Matei Zaharia

Founder discussion: Matei on UC, Data Intelligence and AI Governance

Ever wonder how Databricks operates its own enterprise lakehouse, where all employees and all teams inside use data and AI to solve problems and guide our decisions? Bruce Wong, head of data platforms, will talk about how his team leverages Databricks itself.

Sr. Director, Data Platform

Bruce Wong

How Databricks Uses Databricks

Each industry has its uniqueness, and Databricks provides solutions and use cases tailored to core AI-driven industries. Hear from some of our key customers about solution accelerators and use cases across popular industries.

Industry Marketing Lead, HLS

Adam Crown

Industry-by-Industry: Customers, Solution Accelerators, and Use Cases Across Popular Industries

Join us to explore Lakeflow, Databricks' end-to-end solution for simplifying and unifying the most complex data engineering workflows. This session builds on keynote announcements, offering an accessible introduction for newcomers while emphasizing the transformative value Lakeflow delivers. We’ll cover:<ul>	<li>What is Lakeflow?: A cohesive overview of its components: Lakeflow Connect, Lakeflow DLT and Lakeflow Jobs</li>	<li>Core capabilities in action: Live demos showcasing no-code data ingestion, code-optional declarative pipelines and unified, end-to-end orchestration</li>	<li>Vision for the future: Unveil the roadmap, including details of two major keynote announcements</li></ul> Discover how Lakeflow equips data teams with a seamless experience for ingestion, transformation and orchestration, reducing complexity and driving productivity. By unifying these capabilities, Lakeflow lays the groundwork for scalable, reliable and efficient data pipelines in a governed and high-performing environment.

Distinguished Engineer

Michael Armbrust

Sr. Director of Product Management

Bilal Aslam

Introducing Lakeflow: The Future of Data Engineering on Databricks

Discover how the latest innovations in Databricks AI/BI Dashboards and Genie are transforming self-service analytics. This session offers a high-level tour of new capabilities that empower business users to ask questions in natural language, generate insights faster and make smarter decisions. Whether you're a long-time Databricks user or just exploring what's possible with AI/BI, you'll walk away with a clear understanding of how these tools are evolving — and how to leverage them for greater business impact.

Director, Manager Product Management

Miranda Luna

Sr Eng Director

Chao Cai

Latest Innovations in AI/BI Dashboards and Genie

Analytical and operational use cases are starting to converge, and AI-assisted applications are accelerating the trend. Most applications require a transactional, OLTP database to power data. Hear from a Databricks expert on the latest developments and our strategy for operational data integrated into the lakehouse.

Product Manager

Dave Nettleton

OLTP for the Lakehouse

The Databricks ecosystem has 5,000+ partners, who help enable you to leverage Databricks to unify all your data and AI workloads for more meaningful insights. Hear from some of the leading cloud, technology, and consulting partners.

Partners (session 1 of 2): Hear From Key Companies on Adding Value

Partners (session 2 of 2): Hear From Key Companies on Adding Value (part 2)

SAP is the world's 3rd-largest publicly traded software company by revenue, and recently launched the joint SAP Databricks "Business Data Cloud". See how it all works from a practitioner's perspective, including reference architecture, demo, and example customers. See firsthand how the powerful suite of SAP applications benefits from a joint Databricks solution - with data being more easily governed, discovered, shared, and used for AI/ML..

Chief Technology Architect

Niclas Schlautkoetter

Lead Solutions Architect

Qi Su

SAP and Databricks: Building Your Lakehouse Reference Architecture

Databricks co-founders created Spark, the wildly popular open source foundation of Databricks, way back in 2009. Learn from Michael Armbrust, creator of Spark SQL and leader of Databricks Delta, about the latest happenings in Spark, DLT pipelines, and open source.

Spark Talk: Everything Spark, DLT, and Open Source

Learn how to build sophisticated systems that enable natural language interactions with both your structured databases and unstructured document collections. This session explores advanced techniques for creating unified and governed AI systems that can seamlessly interpret questions, retrieve relevant information and generate accurate answers across your entire data ecosystem. Key takeaways include:<ul>	<li>Strategies for combining vector search over unstructured documents with retrieval from structured databases</li>	<li>Techniques for optimizing unstructured data processing through effective parsing, metadata enrichment and intelligent chunking</li>	<li>Methods for integrating different retrieval mechanisms while ensuring consistent data governance and security</li>	<li>Practical approaches for evaluating and improving KBQA system quality through automated and human feedback</li></ul>

Staff Product Manager

Elise Gonzales

Talking to All Your Data: Building Multi-Agent Systems for Structured and Unstructured Information

Discover the latest advances on the Data Intelligence Platform and hear from the companies who are already enjoying success.

Keegan Dubbs

Michelle Leon

Co-Founder and CEO

Ali Ghodsi

Ken Wong

Thursday Keynote

Be first to witness the latest breakthroughs from Databricks and share the success of innovative data and AI companies.

Thursday Keynote (Virtual Replay)

Staff Developer Advocate

Holly Smith

Director, Product Management

Justin DeBrabant

CTO, Neural Networks

Hanlin Tang

Director, Product, Mosaic AI Platform

Kasey Uhlenhuth

Co-Founder and Chief Architect

Reynold Xin

Chairman and CEO

Jamie Dimon

Wednesday Keynote

Wednesday Keynote (Virtual Replay)

Join the Unity Catalog product team for an exclusive deep dive into the latest innovations and upcoming features of Unity Catalog! Explore cutting-edge advancements in access control, discovery, lineage and monitoring — plus get a sneak peek at what’s coming next. Packed with live demos, expert insights and best practices from thousands of customers running Unity Catalog in production, this session is also your chance to engage directly with product experts and get answers to your most pressing questions. Don’t miss this opportunity to stay ahead of the curve and elevate your data governance strategy!

Senior Staff Product Manager

Paul Roome

Murt Neemuchwala

What’s New in Unity Catalog With Live Demos

Databricks has been innovating the AI landscape, faster than ever before. Hear what's new directly from the Chief AI Scientist at Databricks, Jonathan Frankle, who co-founded MosaicML and now leads the AI research team.

Chief Scientist - Neural Networks

Jonathan Frankle

What's New With Databricks and AI

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Experiência virtual — Data + AI Summit 2025 | Databricks

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Participe da experiência virtual no Data + AI Summit — o principal evento para a comunidade global de dados, análise e IA. Inscreva-se agora para keynotes e sessões selecionadas.

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Junte-se à comunidade global de dados nos dias 11 e 12 de junho para a Data + AI Summit Virtual Experience.

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