Data + AI World Tour Los Angeles

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
5:00 PM - 6:00 PM	Networking Reception

Speakers

SVP, Product
Databricks

GM/VP of Sales
Databricks

Assistant Auditor Controller / CIO
County of Los Angeles

Chief Data Officer
County of Los Angeles

Sr. Director, Data Collaboration
Databricks

VP, Databricks Ventures
Databricks

Solutions Architect
Databricks

Delivery Solutions Architect
Databricks

Sr. Solutions Architect
Databricks

Director, Supply Chain Solution Architecture
Thermo Fisher Scientific

CEO, Founder
Future

Field CTO
Coalesce

Senior Manager, Risk Analytics
Gilead Sciences

Managing Director
Blueprint

Director of Product Marketing
Databricks

VP, Product Partnerships
Gracenote

Databricks

Sr. Delivery Solution Engineer
Databricks

Sr Solutions Architect
Databricks

Sr. Solutions Architect
Databricks

Solutions Architect
Databricks

AVP, Healthcare & Life Sciences GTM
Databricks

Databricks

Chief Analytics Officer
Press Ganey

CMO
Samba TV

Staff Technical Marketing
Databricks

Solutions Architect
Databricks

CTO
UP.Labs

Sr. Dr. Prod Mktg
Databricks

Sr Director Digital Supply Chain
Thermo Fisher Scientific

Head of AI
Confluent

Databricks

Featured sessions

From Raw Data to Real-Time Retention: Powering Customer Health Scores with Databricks + Coalesce

Understanding customer engagement and retention is mission-critical—but building trusted health scores at scale is easier said than done. In this lightning talk, see how Coalesce and Databricks work together to operationalize customer health scoring with speed, scale, and confidence. We’ll walk through how to turn raw behavioral and product usage data into governed, explainable scores that drive real business action. Learn how Coalesce’s metadata-driven platform pairs with Databricks' lakehouse architecture to streamline development, enforce governance, and quickly deliver actionable insights. What you'll see: How to build repeatable, enterprise-grade scoring pipelines in minutes—not weeks How to automate documentation, lineage, and quality checks with built-in metadata intelligence How to support cross-functional stakeholders with transparent, trustworthy data products

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.

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.

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Healthcare and Life Sciences Industry Forum

Join us for the Healthcare and Life Sciences Industry Forum. 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.

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.

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.

Maximizing ROAS: Forecasting, Scenario Planning, & Cost Optimization on Databricks

Marketing leaders face increasing pressure to prove ROI while adapting to shifting customer behavior. In this live demo, Gary Nakanelua, Managing Director of Technology at Blueprint and Databricks MVP, will showcase CampaignIQ: a Databricks-native application that delivers real-time ROAS forecasting, scenario planning, and cost optimization. Built to unify marketing and analytics teams, CampaignIQ leverages governed GenAI workspaces, Mosaic AI agents, and MLflow orchestration to turn fragmented data into actionable insights. Attendees will see how leading brands are using CampaignIQ to identify high-impact opportunities, optimize media spend, and drive measurable performance gains faster. Whether you manage budgets, teams, or strategy, you’ll leave with a clear path to making every marketing dollar work harder.

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%.

Training: 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.

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.

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.

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 InterContinental Los Angeles Downtown, 900 Wilshire Blvd, Los Angeles, CA 90017
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): Valet & Self-Parking: $26 + tax Overnight Valet: $65 + tax Note: Limited to 700 spots. Once full, overflow parking is redirected to the locations below. Overflow Parking Options: 915 Wilshire Blvd: No early-bird special $4.00 per 20 minutes Daily max: $40.00 Limited to 50 vehicles Target Parking (across from hotel on 7th Street): Early-bird special: $18 (tax included) Valid for entry between 3:00 AM – 9:00 AM Search "960 W. 7th Street" or "Fig&7 Ernst & Young Plaza" on Google Maps for directions.
What are the nearest public transportation stops?	The Intercontinental Downtown LA is conveniently served by multiple public transit options. The closest train access is the 7th Street / Metro Center Station, just a 3-minute walk away, offering Metro B, D, A, and E lines. These connect quickly to major hubs like Union Station in about 8-10 minutes. Numerous bus stops are within a 1-3 minute walk, providing easy access to routes across downtown LA.