Thank you for a great Data + AI World Tour - we look forward to seeing you next year! If you missed the event, you can attend our virtual event on January 21, 2026.
Why attend Data + AI World Tour
Join the data and AI community in your city and see why industry leaders choose Databricks to unify and simplify their data, analytics and AI architectures.
- Learn
Hear from thought-provoking speakers and technical experts on how to advance your data and AI strategies - Network
Build valuable connections, exchange ideas and share experiences with like-minded professionals, subject matter experts and thought leaders - Engage
Participate in hands-on sessions and interactive demos to deepen your skills and explore real applications of data and AI
Agenda
| 8:00 AM - 5:00 PM |
Registration |
| 8:00 AM - 9:00 AM 10:30 AM - 6:00 PM |
Expo |
| 9:00 AM - 10:30 AM |
Keynote |
| 11:00 AM - 5:00 PM | Breakouts |
| 12:00 PM - 1:30 PM |
Lunch & Networking |
| 12:00 PM - 3:00 PM |
Lightning Talks |
| 1:00 PM - 4:00 PM |
Training |
| 4:00 PM - 5:00 PM |
Industry Breakouts |
| 5:00 PM - 6:00 PM |
Networking Reception |
Speakers
Head of Insights, Data Analytics and AI/ML in Core Lab Solutions R&D
Siemens Healthineers
VP, Biostatistics
Ontada
VP, Head of Enterprise Data AI & Business Planning
Tronox
Director, AI Product Management
Corning
SVP, Head of Enterprise Growth Initiatives
FactSet
SVP, Data Solutions and AI Engineering
FactSet
AVP, P&C Actuarial Data & Technology
Nationwide
Lead Analytics Engineer, Data Science
Guardian Life
Solutions Architect
dbt Labs
Sr. Solutions Architect
Qlik
Staff Solutions Engineer
Confluent
SVP, Product Management
Databricks
RVP, Enterprise- Financial Services, Sales
Databricks
RVP, Enterprise
Databricks
Global VP, GTM Financial Services
Databricks
Principal Solutions Architect
Databricks
Sr. Specialist Solutions Architect
Databricks
Solutions Architect
Databricks
Solutions Architect
Databricks
Sr. Solutions Architect
Databricks
Lead Specialist Solutions Architect
Databricks
Sr. Solutions Engineer
Databricks
Specialist Solutions Architect
Databricks
Sr. Solutions Engineer
Databricks
Sales Director, Insurance
Databricks
Sr. Staff Technical Instructor
Databricks
Solutions Architect
Databricks
Sr. Solutions Architect
Databricks
Solutions Architect
Databricks
Delivery Solutions Architect
Databricks
Solutions Architect
Databricks
Industry GTM, Financial Services
Databricks
Global Industrials GTM Leader, Manufacturing
Databricks
Featured sessions
AI-Assisted BI: Everything You Need to Know
Explore how AI is transforming business intelligence and data analytics across the Databricks platform. This session offers a comprehensive overview of AI-assisted capabilities, from generating dashboards and visualizations to integrating Genie on dashboards for conversational analytics. Whether you’re a data engineer, analyst or BI developer, this session will equip you to leverage AI with BI for better, smarter decisions.
Beyond the Hype: Real AI Impact in Tech and Manufacturing
It’s easy to get lost in the noise around AI, but the real transformation is happening behind the scenes, in the way manufacturing and technology leaders use data and intelligence to solve problems that matter. This session goes beyond buzzwords to uncover how advanced data infrastructure and AI are driving meaningful change across the sector.Hear firsthand from a Siemens Healthineers leader as they share how their team leverages computer vision to extract insights from complex data, driving smarter decision-making and tangible business results. We’ll dig into how top organizations are building reliable data pipelines, using predictive algorithms to keep operations running smoothly, and integrating AI into core processes like quality control and supply chain management.We’ll highlight practical use cases, common pitfalls, and what it really takes to move from proof-of-concept to business-critical AI. If you want to see what true AI adoption looks like in tech and manufacturing, and how to turn your data strategy into real competitive advantage, this session is for you.
Building A Trusted Data Foundation for AI At Mercedes-Benz with Qlik and Databricks
Discover how industry leaders like Mercedes-Benz are transforming their operations with the combined power of Qlik and Databricks. This session will highlight the cutting-edge solutions for universal, real-time data ingestion, automated transformation, and enterprise-grade data quality. Learn how Mercedes-Benz uses Qlik and Databricks to eliminate manual bottlenecks, activate AI-driven insights, and boost production efficiency by 20%, all while maintaining secure, governed data across cloud and hybrid environments. Explore practical use cases, proven ROI, and the collaborative innovation behind Qlik for Databricks — and how you can accelerate your own journey to trusted, AI-ready data.
Building Production-Ready AI and Multi-Agent Systems With Agent Bricks
More than 80% of AI projects fail. The reason? Customers are not ready to put AI in production in areas where the Agent can cause reputational or financial harm. Introducing Agent Bricks, a new approach to deploying production-ready AI Agents. Agent Bricks uses novel research techniques to automatically generate domain-specific synthetic data and task-aware benchmarks. Based on these benchmarks, it automatically optimizes for cost and quality, saving enterprises from the tedious trial-and-error of current approaches. Now, teams can achieve production-level accuracy and cost efficiency right from the start.
This session will show you how to build and scale real-world AI systems using Agent Bricks. We’ll cover how to design multi-agent systems that combine retrieval, reasoning, and generation to answer complex questions grounded in your enterprise data. Along the way, you’ll see how to track experiments, fine-tune performance, and build workflows that are reliable, governed, and built for scale.
Busting Data Modeling Myths: Truths and Best Practices for Data Modeling in the Lakehouse
Unlock the truth behind data modeling in Databricks. This session will tackle the top 10 myths surrounding relational and dimensional data modeling. Attendees will gain a clear understanding of what Databricks Lakehouse truly supports today, including how to leverage primary and foreign keys, identity columns for surrogate keys, column-level data quality constraints and much more. This session will talk through the lens of medallion architecture, explaining how to implement data models across bronze, silver, and gold tables. Whether you’re migrating from a legacy warehouse or building new analytics solutions, you’ll leave equipped to fully leverage Databricks’ capabilities, and design scalable, high-performance data models for enterprise analytics.
Collaborating Without Boundaries: What’s New With Delta Sharing, Clean Rooms, Marketplace and More
Databricks is changing how organizations work together by making data sharing more open, secure, and flexible. With new capabilities like Clean Rooms for multi-party collaboration, cross-platform view sharing, Sharing for Lakehouse Federation, and Databricks Apps in the Marketplace, teams can now share and access data more easily, whether or not they are on Databricks.
This session includes live demos of the tools driving this shift. We’ll show Delta Sharing, the open protocol for seamless cross-platform data sharing. We’ll walk through the Databricks Marketplace, a central hub for discovering and monetizing data and AI assets. And we’ll dive into Clean Rooms, which enable secure collaboration without exposing raw data. You’ll leave with a clear view of how to use these tools to drive faster insights and better partnerships across your ecosystem.
Cost Management and Observability: How Customers Monitor and Control Their Consumption
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.
Databricks Apps: Turning Data and AI Into Practical, User-Friendly Applications
Databricks Apps is now generally available, offering a new app hosting platform that brings together everything needed to build production-ready data and AI applications. It gives data and developer teams a way to create custom interfaces on top of the Data Intelligence Platform, making it easier to extend the reach of data and AI across the organization.
This session will explore common use cases like RAG chat apps, interactive visualizations, and custom workflow builders. You’ll learn best practices and design patterns for building apps that are scalable and easy to maintain. The session will wrap with a look at the roadmap and strategy for what’s next with Databricks Apps.
Databricks SQL: Getting Started and What’s New with Live Demos
New to Databricks SQL or just trying to keep up with everything that’s been added? This session gives you both. We’ll start with a fast-paced introduction to Databricks SQL, including how to set up a warehouse, load data, run queries, and build dashboards in just a few minutes. You’ll get a clear view of how the platform supports analysts, developers, admins, and business users with a simple and intuitive interface.
From there, we’ll dive into the latest features, with live demos and real-world use cases. We’ll cover the new SQL editor, coding enhancements, streaming tables, materialized views, BI integrations, system tables, observability, and cost management tools. We’ll also show how AI is being used under the hood to optimize performance and help you get the most out of your workloads. Whether you're just starting out or looking to stay current, this session will get you up to speed.
Discover the latest Innovations in AI/BI Dashboards and Genie
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.
Financial Services Forum: Shifting to Financial Intelligence
This transformative session is geared toward business executives in Financial Services who want to hear from peers who are putting Data and AI at the heart of their operations.
Learn how Databricks’ 1500+ financial services customers are democratizing data across their bankers, traders, risk managers and actuaries to drive competitive advantage and turn bold business visions into reality.
From Metadata to Intelligence: How dbt + Databricks Power Smarter AI
Generative AI holds promise for analytics, but Large Language Models (LLMs) often fail in complex data ecosystems—hallucinating queries, missing schema details, and prolonging debugging. This lightning talk explores how integrating Databricks with dbt via the Model Context Protocol (MCP) addresses this. By surfacing dbt metadata—models, tests, lineage—through an MCP server on Unity Catalog, LLMs gain structured context for schema-aware, reliable responses. We’ll dive into the technical setup and demo how agents dynamically query dbt artifacts, reducing manual intervention. In production, this dbt + Databricks synergy significantly reduced query errors, accelerated exploration, and boosted efficiency, enabling faster forecasting and cost optimization without vendor lock-in. Looking forward, MCP signals a future of human+AI co-piloted workflows where dbt’s evolving semantic metadata fuels predictive modeling, real-time governance, and conversational analytics.
Get Started with AI Agents
This course is an introduction to AI agents, their role in modern AI applications, and how to build AI agent applications on the Databricks Platform. You'll learn about the principles of AI agents, how they differ from traditional AI systems, and explore their key components. Through interactive demos and hands-on labs, you'll see how to build, deploy, and evaluate AI agents on Databricks using Mosaic AI and Agent Bricks. By the end of this course, you'll understand how to create and deploy AI agents using the Databricks Data Intelligence Platform.
Learning objectives - This course will help you:
- Understand how AI agents differ from traditional AI systems and learn real world use-cases across various industries.
- Differentiate between agentic and non-agentic AI approaches, and explore the roles of LLMs, tools, memory, and workflows in building AI agents.
- Learn the various ways to build and manage AI agents on Databricks, including how to use Mosaic AI to build, deploy, and monitor AI agents.
- Understand how you can use Agent Bricks to create enterprise-grade agents with no code and minimal setup.
Pre-requisites - Recommended experience:
- Python programming
- Basic understanding of Databricks, including Unity Catalog
- Familiarity with ML/AI concepts
Introducing Lakeflow: The Future of Data Engineering on Databricks
Data engineering doesn’t have to be a patchwork of tools and handoffs. In this session, we’ll introduce you to Lakeflow, Databricks’ unified solution for building reliable, scalable data pipelines with less friction and more control. Whether you’re just getting started or managing complex workflows, Lakeflow brings together ingestion, transformation, and orchestration into one cohesive experience.
We’ll walk through the key components, including Lakeflow Connect, Declarative Pipelines, Jobs, and the new Lakeflow Designer—a visual interface that makes it even easier to build and manage pipelines with minimal code. You’ll see live demos of no-code ingestion, code-optional transformation, and unified orchestration across your data estate.
We’ll also share what’s coming next, including support for open source tooling and expanded no-code capabilities. You’ll leave with a clear understanding of how Lakeflow simplifies your stack, increases productivity, and provides a strong foundation for building high-performance, governed data pipelines at scale.
Keynote
Be the first to witness the latest breakthroughs from Databricks and share the success of innovative data and AI companies. Discover the latest advances on the Data Intelligence Platform with AI agents, Agent Bricks and Lakebase and hear from the companies that are already enjoying the success of these new products.
Lakebase: Fully Managed Postgres for the Lakehouse
Lakebase is a new Postgres-compatible OLTP database designed to support intelligent applications. Lakebase eliminates custom ETL pipelines with built-in lakehouse table synchronization, supports sub-10ms latency for high-throughput workloads, and offers full Postgres compatibility, so you can build applications more quickly.In this session, you’ll learn how Lakebase enables faster development, production-level concurrency, and simpler operations for data engineers and application developers building modern, data-driven applications. We'll walk through key capabilities, example use cases, and how Lakebase simplifies infrastructure while unlocking new possibilities for AI and analytics.
Startup Forum
Hear from VC leaders, startup founders and early stage customers building on Databricks around what they are seeing in the market and how they are scaling their early stage companies on Databricks. This event is a must see for VCs, founders, health-tech enthusiast, and those interested in the early stage company ecosystem.
Panelists:
- Mittul Mehta, CIO, Tevogen Bio
- Chris Gervais, CTO, Codametrix
- Stavros Papadopoulos, CEO, TileDB
Moderator:
- Tony Pezzullo, Principal, SignalFire
Streaming Meets Governance: Building AI-Ready Tables with Confluent Tableflow and Unity Catalog
Learn how Confluent and Databricks are simplifying the path from real-time data streams to governed, analytics- and AI-ready tables. This session will explore how Confluent Tableflow automatically materializes Kafka topics into Delta tables and registers them with Unity Catalog—eliminating brittle batch jobs and custom pipelines. You’ll see how Confluent’s fully managed data streaming platform—with unified Apache Kafka® and Apache Flink®—connects data from across your entire business to deliver trusted, real-time data products everywhere they’re needed, all while reducing the total cost of ownership (TCO) for data streaming by up to 60%.
The Future of Real Time Insights with Databricks and SAP
Tired of waiting on SAP data? Join this session to see how Databricks and SAP make it easy to query business-ready data—no ETL. With Databricks SQL, you’ll get instant scale, automatic optimizations, and built-in governance across all your enterprise analytics data. Fast and AI-powered insights from SAP data are finally possible—and this is how.
Unity Catalog: From Foundations to Best Practices
Whether you are just getting started with data governance or working to scale it across the enterprise, this session will walk you through how Unity Catalog helps simplify secure access, discovery, and collaboration for data and AI.
We will start with the fundamentals of Unity Catalog, explain how it works, and why it plays a central role in governing data and AI across clouds, teams, and workloads. Then we will dive into the latest product updates, including live demos that show new capabilities in access control, lineage, discovery, and monitoring. You will also get a first look at upcoming features and hear insights from customers already running Unity Catalog in production.
The session wraps with clear guidance on how to design and roll out Unity Catalog effectively. We will cover how to structure catalogs, manage permissions, and build for multi-cloud and multi-region environments. If you want a practical understanding of Unity Catalog and how to apply it in your organization, this session is for you.
What's New With Databricks Assistant
Join us for a session on all of the improvements made to the Databricks Assistant over the past year. We’ll highlight new features like full integration into Catalog Explorer and other key pages, the ability to edit multiple cells in a Notebook, and enhanced usability with citations, SQL optimization, and external code execution. Additionally, we’ll discuss the exclusively Databricks-hosted Assistant, ensuring improved security and compliance. This session will provide practical insights into how these updates enhance efficiency, streamline workflows, and make the Assistant more intuitive and versatile for your data needs.
Why You Should Move to Lakeflow Declarative Pipelines Serverless
Lakeflow Declarative Pipelines Serverless offers a range of benefits that make it an attractive option for organizations looking to optimize their ETL (Extract, Transform, Load) processes. Key benefits of Lakeflow Declarative Pipelines Serverless: Automatic infrastructure management Unified batch and streaming Cost and performance optimization Simplified configuration Granular observability By moving to Lakeflow Declarative Pipelines Serverless, organizations can achieve faster, more reliable, and cost-effective data pipeline management, ultimately driving better business insights and outcomes.
Sponsors
Event details and FAQExpand allCollapse all
| How much does it cost to attend the Data + AI World Tour? | All Data + AI World Tour stops are free to attend. |
| I am having difficulties registering. How can I get help? | Please email world-tour-support-amer@databricks.com. |
| How do I register for training? | Scheduling for training will launch closer to the event. An email will be sent notifying you when scheduling is open in the session catalog. |
| Will you be providing meals with dietary restrictions in mind? | We will provide meals that are vegetarian and vegan. If you have other dietary restrictions, please email world-tour-support-amer@databricks.com and we will do our best to accommodate. |
| Where is the event located? | The event is held at the Sheraton Boston Hotel, 39 Dalton St, Boston, MA 02199 |
| Are there other Data + AI World Tour locations I can attend? | Visit our Data + AI World Tour page to see all our tour stops. Check out our events page for upcoming Databricks events. |
| Where can I find parking for this event? |
Onsite parking will be limited. Please note that parking validation will not be provided. Onsite Parking (at the hotel):
Overflow Parking Options:
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