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 Grab your badge from the registration desk to start your day. |
| 8:00 AM – 9:30 AM 11:00 AM – 6:00 PM |
Expo Visit Databricks and sponsor booths, take part in fun activations, and network with other attendees. |
| 9:30 AM - 11:00 AM |
Keynote Hear from Databricks Executives and regional customers on the transformative power of data and AI. |
| 11:30 AM – 5:00 PM |
Breakout Sessions Dive deep into topics with expert-led breakout sessions tailored to your data and AI interests. |
| 12:00 PM – 1:30 PM | Lunch |
| 5:00 PM - 6:00 PM |
Reception Wrap up your day in our Expo with refreshments, fun activations, and networking. |
Training courses will be held the day before the main conference. Please note: you must be registered for the main conference in order to attend training.
| 12:00 PM - 6:00 PM |
Registration Grab your badge from the registration desk to start your day. |
| 1:00 PM - 4:30 PM |
Get Started with Data Warehousing | Session Room #1 ( Level 4 ) This course provides a comprehensive overview of Databricks’ modern approach to data warehousing, highlighting how a data lakehouse architecture combines the strengths of traditional data warehouses with the flexibility and scalability of the cloud. |
| 1:00 PM - 4:00 PM |
Get Started with AI Agents | Session Room #2 ( Level 4 ) 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. |
|
1:00 PM - 2:30 PM 3:00 PM - 4:30 PM |
AI Agents Fundamentals | Session Room #3 (Level 4) This foundational course introduces AI agents and their use in enterprise applications on Databricks, including the Mosaic AI platform and Agent Bricks. Learners will examine what AI agents are, how they function, and how they mimic human reasoning to handle complex tasks. |
Speakers
Co-Founder and CEO
Databricks
Director, Core Data
Rivian
Co-Head of Data & Analytics
LSEG
Head of Bloomberg Enterprise Data Science
Bloomberg
Chief Technology & Data Officer
Greenland Capital Management
Global Vice President, Analytics, Applied Data Science & Insights
the LEGO Group
VP, Data Product & Monetization
Dish Network
VP of Data, AI, and Architecture
Wegmans Food Markets
Sr. Director, Data Collaboration
Databricks
VP, Data Strategy + Monetization
LG Ads
Director, Product Management
Databricks
Sr. Product Manager
Databricks
Executive Director
Morgan Stanley
Staff Technical Marketing Manager
Databricks
VP, Databricks Ventures
Databricks
Snr Director, Global Data Insights
StoneX
GTM Ecosystem Leader - FSI
Databricks
VP, Data Quality and Data Standards
SiriusXM
Solutions Architect
Databricks
VP of Gen AI GTM
Databricks
Co-Founder and CEO
Scope3
CoFounder and CTO
You.com
Sr Eng Director
Databricks
Senior Director, Banking Industry Practice Lead
Moody's Analytics
Global Head of Marketing Solutions GTM
Databricks
VP, Startups & Emerging Enterprise
Databricks
Chief Architect & VP Intelligence
Centripetal
Global Head of Cybersecurity
Databricks
CTO
Avaya LLC
Enterprise Solutions Engineer
Hightouch
Chief Product & Data Officer
Horizon Media
Principal Decision Scientist
Aimpoint Digital
Sr Director Data Architecture and Governance
Lumen Technologies(formerly CenturyLink)
Senior Sales Engineer
Dataiku
Product Marketing Manager
Databricks
GM, Data Partnerships
The Trade Desk
Sr. Product Marketing Manager
Databricks
Product Manager, Billing
Databricks
SAP VP, Solution Advisory
SAP
Principal Engineer
Flatiron Health
VP of ML/AI
Capital One
Solutions Architect
Databricks
Head of Data Science Platform
Hudson Bay Capital
Sr Solutions Architect
Qlik
Partner
Capital One Ventures
Sr. Staff Product Manager
Databricks
VP, Financial Services GTM
Databricks
Senior Product Marketing Manager
Databricks
Global Head of Financial Services Marketing
Databricks
Senior Product Manager
Databricks
Senior Software Engineer
Databricks
SVP, Advanced Solutions
Magnite
Director, SOC Offensive Security
Barracuda
VP, Healthcare & Life Sciences GTM
Databricks
Senior Director, Head of Enterprise Architecture - Digital, Data & Analytics
The Cigna Group
Head of Global Telecommunications Industry
Databricks
Sales Director
Amperity
Co-Founder and CTO
Aithon
Sr. Manager, Field Engineering
Databricks
Partner Solution Architect
dbt Labs
Field CISO, VP Security
Databricks
Solutions Architect
Databricks
Staff Technical Instructor
Databricks
Managing Partner, Private Capital
J.P. Morgan
Sr. Technical Product Marketing Engineer
Databricks
Principal Sales Engineer
Fivetran
Sr. Product Manager
Flatiron Health
Global VP of Consumer Industries GTM
Databricks
Senior Manager, Solutions Engineering
Confluent
SVP, Data Products and Technology
Versant Media
Startup and Venture Programs
Databricks
Instructor
Databricks
Head of Cyber Marketing
Databricks
Global Black Belt Analytics
Microsoft
Field CTO, RCT
Databricks
Product Manager
Google
CTO
ModMed
Member of Product Staff
Databricks
Principal Technical Evangelist
Databricks
Databricks Certified Instructor
Databricks
Applied AI
Anthropic
Featured sessions
AI Agents Fundamentals (repeat)
This foundational course introduces AI agents and their use in enterprise applications on Databricks, including the Mosaic AI platform and Agent Bricks. Learners will examine what AI agents are, how they function, and how they mimic human reasoning to handle complex tasks.
The course covers real-world agent use cases and provides a basic introduction to advanced topics such as agentic workflows and multi-agent systems. It also explores how Agent Bricks simplifies the development of enterprise-ready agents across various applications, with demos showing how to build and use agents on Databricks.
Building A Trusted Data Foundation for AI At Mercedes-Benz with Qlik and Databricks | Sponsored by Qlik
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 Agents with Claude and Databricks | Sponsored by: Anthropic
Enterprise AI requires frontier models with direct data access and governance. Claude's market-leading agentic reasoning combined with Databricks' Data Intelligence Platform enables organizations to build production-ready AI agents on enterprise data—securely, with unified governance, and without additional complexity.
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.
Consumer Industries Forum: How AI is Changing the Consumer Experience
AI is transforming retail, travel, and hospitality by making every consumer moment more personal, seamless, and impactful. In this session, we’ll reveal how industry leaders are using AI to anticipate needs, surprise and delight guests, and unlock new revenue streams—while building trust at every step. You’ll see how to move beyond pilots into scaled, enterprise-wide adoption, and discover the data foundations, AI capabilities, and partnerships that make it possible.
Walk away inspired and ready to apply these strategies to create richer consumer relationships, elevate brand loyalty, and lead in an increasingly connected world.
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.
Cybersecurity Forum
Join us for a dedicated Cyber Forum at the Data and AI World Tour NYC, where we explore the most pressing security challenges and innovations at the intersection of data and AI.
This session begins with a critical examination of the modern threat landscape. Omar Khawaja, Databricks Field CISO, will present on the threats facing modern CISOs and provide a deep dive into the essential risks and necessary guardrails for implementing AI into the Security Operations Center (SOC).
We will then hear from Merium Khalid, Director SOC Offensive Security at Barracuda, as she presents their Databricks use case and journey. This segment will culminate in an in-depth fireside chat Q&A, moderated by Dave Herrald, Global Head of Cyber GTM at Databricks, where you'll get candid insights directly from the Merium on their security data strategy.
Don't miss this comprehensive look at securing your data and leveraging AI for defense.
Databricks Apps: Turning Data and AI Into Practical, User-Friendly Applications (repeat)
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 (repeat)
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.
Deep Dive: Building Production-Ready AI Agents with Agent Bricks and Custom Solutions
More than 80% of AI projects fail because customers aren't ready to deploy AI where it could cause reputational or financial harm. This session changes that. We'll start by introducing Agent Bricks, a revolutionary approach that 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, eliminating the tedious trial-and-error of current approaches to deliver production-level accuracy from the start.
Then we'll dive deeper, showing you how to build custom AI agents from scratch using Databricks' Mosaic AI platform. You'll learn to design multi-agent systems that combine retrieval, reasoning, and generation to answer complex questions grounded in your enterprise data. We'll cover experiment tracking, performance optimization, and building reliable, governed workflows at scale.
Whether you're starting your AI journey or scaling existing efforts, this session provides both the out-of-the-box solutions and foundational knowledge to build next-generation GenAI solutions ready for production deployment.
Delivering Data You Can Trust: How Wegmans Automates Data Quality Monitoring on Databricks | Sponsored by Anomalo
In today’s data-driven enterprises, ensuring analytics and AI run on trustworthy data is critical. For retailers like Wegmans, where data drives supply chain optimization and personalized customer experiences, quality can make or break success. Join this session to hear how Wegmans and Anomalo partnered to bring automated data quality into Wegmans’s Databricks environment. Discover how this collaboration helps one of the largest private companies in the U.S. detect anomalies, prevent issues before they impact operations, and enable end-to-end visibility. You’ll learn how to: - Deliver trustworthy data pipelines at enterprise scale - Accelerate AI and analytics initiatives with confidence - Empower business teams with reliable insights
Discover the Latest Innovations in AI/BI Dashboards and Genie (repeat)
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 Industry Forum
Join the Financial Services Industry 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!
From Lakehouse to Lift: How data teams drive business outcomes for marketers with governed data | Sponsored by Hightouch
Your data team has centralized customer data in Databricks, but faces a common challenge: how do you enable marketing activation and experimentation without creating new data silos or sacrificing governance? This short talk details a lakehouse-native data activation platform, Hightouch, that enables marketers to self-serve audiences, explore data, and experiment with agentic AI, all while keeping data governed in Databricks. We'll cover how AI agents operate within guardrails on the platform, how data flows to downstream channels, and how measurement loops back to the lakehouse for analytics and intelligence. This architecture balances data governance with marketing speed, and instruments a closed-loop pattern that connects your infrastructure investments with business metrics.
From Metadata to Intelligence: How dbt + Databricks Power Smarter AI | Sponsored by: dbt Labs
In the generative AI era, Large Language Models struggle with complex data ecosystems, causing inaccurate queries, hallucinations, and slow debugging that hinder productivity and delay insights. This breakout session shows how integrating Databricks with dbt via the Model Context Protocol solves these issues. By exposing dbt’s metadata—models, tests, and lineage—LLMs gain structured context for precise, schema-aware responses. We’ll walk through setting up a dbt MCP server on Databricks Unity Catalog, enabling dynamic querying of dbt artifacts and reducing manual intervention. In real-world use, this DBX + dbt integration cut LLM query errors, sped up data exploration, and improved efficiency for faster, AI-driven analytics—boosting forecasting and cost optimization without vendor lock-in. Looking ahead, MCP enables a future where humans and LLMs co-pilot data workflows, using dbt’s evolving semantic layer to fuel autonomous agents and intuitive, real-time analytics conversations.
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.
Get Started with Data Warehousing
This course provides a comprehensive overview of Databricks’ modern approach to data warehousing, highlighting how a data lakehouse architecture combines the strengths of traditional data warehouses with the flexibility and scalability of the cloud.
You’ll learn about the AI-driven features that enhance data transformation and analysis on the Databricks Data Intelligence Platform. Designed for data warehousing practitioners, this course provides you with the foundational information needed to begin building and managing high-performant, AI-powered data warehouses on Databricks.
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.
How Amperity & Databricks helped the Ravens build better fan relationships | Sponsored by Amperity
Hear how Amperity's agentic AI helped the Baltimore Ravens go from first login to a completed identity resolution in just 45 minutes during this fireside chat with Stephen States, Sr. Business Analyst from the Baltimore Ravens. Pairing Amperity with Databricks gave the Baltimore Ravens speed and clarity they've never had before.
How Capital One Balances Lower Cost and Peak Performance in Databricks | Sponsored by Capital One Software
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.
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
Hear 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 (repeat)
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.
Leverage the power of the Microsoft ecosystem with Azure Databricks | Sponsored by: Microsoft
Learn how Azure Databricks integrates natively with the Microsoft ecosystem including Microsoft Entra, Power Platform , AI Foundry, and more. This session highlights how teams can unify data governance, streamline access, and accelerate analytics and AI workflows across the Microsoft ecosystem.
Maximizing Profit Through AI-Powered Promotion Pricing Optimization | Sponsored by Aimpoint Digital
In today's competitive retail landscape, strategic pricing decisions can make or break profitability. This lightning talk demonstrates how Databricks clients can harness advanced analytics and machine learning to transform their promotional pricing strategies from gut-feel decisions to data-driven science. We'll showcase a live promotion pricing application that solves two critical challenges: identifying which products to promote and determining optimal discount levels. The solution leverages causal elasticity modeling to understand true price sensitivity while accounting for confounding factors like seasonality and competitive dynamics. A sophisticated deep learning forecasting engine then simulates multiple discount scenarios, predicting revenue, margin, and volume impacts. The application is built in Sigma and leverages Databrick's Model Serving API to get real-time forecasts.
Media and Advertising Industry Forum
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 — this session delivers must-have insights for industry leaders and change agents.
Move from DIY to ready for AI | Sponsored by Fivetran
AI and machine learning efforts need access to centralized, high-quality data. However, managing data pipelines in-house often leads to complexity, inefficiencies, and delays that stall AI innovation. This session explores how automation transforms data movement—streamlining ingestion, normalization, and preparation—to fuel AI/ML applications effectively. Discover how automated pipelines, managed data lake services, and rapid deployment models empower teams to move from experimentation to production faster, unlocking real business value. Join this session to learn: Strategies to centralize and normalize data from diverse sources How to get reliable, high-quality data from automated pipelines Ways to accelerate AI from experimentation to production with scalable data movement
Networking Reception
Wrap up your day with refreshments, fun activations, and networking.
Shipping Analytics at Market Speed with Hudson Bay Capital | Sponsored by Sigma
In a high stakes environment of a fast-paced hedge fund, speed is everything. Learn how Hudson Bay Capital built a full stack Data Science team and data workflow–leveraging Databricks for powerful data processing and Sigma for real-time analysis–to deliver market-ready analytics and accelerate time to market. This session will dive into the strategies, pitfalls, and collaborative models HBC uses to ensure rapid delivery and maintain a competitive edge.
SiriusXM’s Event-Driven Architecture on Databricks: Scaling Quality with Data Observability | Sponsored by Monte Carlo
SiriusXM, the leading audio entertainment company in North America, recently rebuilt its streaming app on an event-driven architecture powered by Databricks. In this fireside chat, Armen Zaybekian, VP of Data Quality and Data Standards at SiriusXM, shares how SiriusXM embedded data observability to ensure quality at scale from day one. This includes automatically discovering new tables, applying freshness and volume checks, building metrics checks, and validating critical migrations with comparison monitors. Armen highlights how data observability safeguards trust for 500+ data users across Finance, Marketing, Analytics, Customer Care, and Data Science. By rapidly detecting and communicating issues, SiriusXM minimizes impacts to marketing campaigns, financial reporting, and royalties. Armen will also explore how ML-driven adaptive thresholds, flexible data source coverage, and deep integrations reduce upkeep and minimize alert fatigue across both new and legacy data pipelines.
Startup Forum: Founders and Early-Stage Investors
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
Streaming Meets Governance: Building AI-Ready Tables with Confluent Tableflow and Unity Catalog | Sponsored by Confluent
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%.
Telecommunications Forum
Join us at the Telecommunications Forum - where data + AI are redefining the future of communications. Hear from industry leaders and innovators on how they’re transforming customer experience, monetization, and storytelling with the Databricks Data Intelligence Platform.
What you’ll gain:
- Insights on how telecommunications organizations are driving growth with data + AI
- Customer stories on boosting agility, unlocking creativity, and enabling new revenue models
- Future trends in personalization, real-time engagement, and intelligent content delivery
- Connections with peers and thought leaders shaping the global communications landscape
The Fast Track from POC to Production: Scaling GenAI with Dataiku + Databricks | Sponsored by Dataiku
Databricks customers are leading the charge in GenAI innovation, but many face the same challenge: moving from promising proofs of concept to real, scalable business applications. In this lightning talk, discover how Dataiku and Databricks together accelerate that journey. Learn how to rapidly develop GenAI applications with both code and no-code approaches, connect to your choice of LLMs and agent frameworks, and operationalize GenAI with enterprise-grade governance. See how organizations are using Dataiku’s new Agent Hub and Databricks’ Unity Catalog to scale responsibly, manage costs, and unlock measurable business value, turning GenAI ideas into production-ready outcomes.
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.
Transforming SAP Data into Insights: Baker Hughes’ Journey with SAP Business Data Cloud | Sponsored by SAP
Unlock the full potential of your SAP data with SAP Business Data Cloud—a fully managed SaaS solution that accelerates AI innovation through zero-copy access to AI-ready, semantically rich SAP data. Join Baker Hughes, an SAP and Databricks customer helping lead the energy sector’s journey to net zero, as they share how they’re modernizing applications and driving transformative insights with SAP Business Data Cloud and Databricks. Discover how this unified approach to data management delivers trusted, ready-to-use SAP data products that power smarter decisions and accelerate your path to AI success.
Unity Catalog: From Foundations to Best Practices (repeat)
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.
Unlock price-performance and efficiency on Google Cloud: Databricks & Axion in Action | Sponsored by Google Cloud
Maximize the performance of your Databricks Platform with innovations on Google Cloud. Discover how Google's Arm-based Axion C4A virtual machines (VMs) deliver breakthrough price-performance and efficiency for Databricks, supercharging Databricks Photon engine. Gain actionable strategies to optimize your Databricks deployments on Google Cloud.
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@databricks.com. |
| How do I register for training? | Training courses will be held the day before the main conference. Registration for training will open approximately three weeks prior to the event and will be shared via email. Please note: you must be registered for the main conference in order to attend training. |
| 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@databricks.com and we will do our best to accommodate. |
| Where is the event located? | The event is held at the Javits Center North, 445 11th Ave in New York City. |
