Data + AI World Tour Atlanta

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

Chief Information Officer
MARTA

Director of Data Science and AI
Furniture.com

Sr. Manager, Data & Analytics, Customer First Strategy
UPS

Managing Director, Product & Innovation
Blueprint

Director of Product Management, Data Platform
Red Ventures

Sr. Solutions Engineer
Coalesce

Principal Solution Architect
Qlik

Solutions Architect
Kyvos Insights, Inc.

Sr. Director, Product Management
Databricks

VP, Enterprise
Databricks

Sr. Solutions Architect
Databricks

Solutions Architect
Databricks

Manager, Field Engineering
Databricks

Staff Technical Instructor
Databricks

Delivery Solutions Architect
Databricks

Sr. Solutions Architect
Databricks

Sr. Product Marketing Manager
Databricks

Solutions Architect
Databricks

Sr. Solutions Architect
Databricks

Delivery Solutions Architect
Databricks

Sr. Solutions Architect
Databricks

Global Industrials GTM Leader
Databricks

Solutions Architect
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

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AI in Motion: Driving the Future of Industry featuring UPS

Industrial leaders are navigating unprecedented disruption; from supply chains to decarbonization mandates. AI offers a strategic edge. In this session, we will explore how to lead with confidence by using AI to drive efficiency, resiliences, and innovation across manufacturing and transportation. Expect thought-provoking perspectives on the future of industrial work, paired with proven strategies to achieve measurable outcomes. This session will feature Databricks thought leadership, real world use cases from UPS, and a demonstration of the technology in action.

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.

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.

From Cost Centers to Cash Cows: Data Teams as Growth Drivers

Hear from Red Ventures on how they leverage a warehouse-native data stack to optimize operations with Databricks and Hightouch. They've built a playbook that enables streamlined application of data to drive growth across all brands under their management, using the data warehouse to power marketing, personalization, digital advertising optimization, and more.

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.

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.

Real-Time Analytics on Trillion$ Portfolio

A leading wealth fund with a trillion-dollar portfolio faced a critical challenge—running XIRR, XNPV, TWR and other complex calculations across millions of portfolios and data points took hours, leaving traders with stale insights. In this session, see how they cut query times from hours to milliseconds with Databricks Lakehouse + Kyvos Semantic Intelligence, powering lightning-fast, scalable analytics. What you’ll learn: • Proven architectural patterns for 1000x faster AI and BI at infinite scale • How to achieve significant cloud cost savings while scaling analytics • Why this breakthrough creates AI-ready foundations for any industry With speed and scale unlocked, analytics moves from bottleneck to business advantage. Learn how Databricks + Kyvos deliver this across industries—from banking to telecom, retail, healthcare, manufacturing and many others.

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.

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 Courtland Grand Hotel, 165 Courtland St NE, Atlanta, GA 30303
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): Valet Parking Only: $25 + tax Overflow Parking Options: Universal Parking (Located directly across the street from Courtland Grand Hotel) Address: 161 Peachtree Center Ave NE, Atlanta, GA 30303 Self-parking garage: $18/per day per car