Data + AI World Tour Mumbai

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 December 11, 2025.

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

8:30 AM – 9:30 AM	Registration Check in at the registration desk to receive your event badge and essential information.
8:30 AM – 6:30 PM	Expo Discover cutting-edge solutions from leading data + AI partners and sponsors.
9:30 AM – 11:00 AM	Keynote Hear from visionary leaders as they unveil the latest trends and innovations shaping data and AI.
11:15 AM – 6:30 PM	Breakout Sessions Dive deep into topics with expert-led breakout sessions tailored to your data and AI interests.

Speakers

VP, India
Databricks

VP, Field Engineering-APJ
Databricks

Chief Transformation Officer
IndusInd Bank

Enterprise Analytics & AI Architect
Adani Natural Resources

Instructor
Databricks

Sr. Partner Solutions Architect
AWS

SVP Alliances, Enablement & Marketing
Koantek

Sr. Solutions Engineer
Databricks

Senior Solutions Engineer
Neo4j

Senior Solutions Architect
Databricks

Field Engineering Manager
Databricks

Sr. Engineering Manager
Freight Tiger

Head of Gaming
Google Cloud

Specialist Solutions Architect
Databricks

Field Engineering Manager
Databricks

CEO
Koantek

Solutions Architect
Databricks

Chief Data Officer
Diggibyte

Director, Product Management - AI & ML
Qlik

Sr. Solutions Architect
Databricks

Featured sessions

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.

Databricks on AWS for GenAI

In this session, you’ll see how to build and deploy a GenAI agent and Model Context Protocol (MCP) with Databricks, Anthropic, Mosaic External AI Gateway, and Amazon Bedrock. You will learn the architecture, best-practices of using Databricks Mosaic AI, Anthropic Sonnet 3.7 first-party frontier model, and LangGraph for custom workflow orchestration in Databricks Data Intelligence Platform. You’ll also see how to use Databricks Mosaic AI to provide agent evaluation and monitoring. In addition, you will also see how inline agent will use MCP to provide tools and other resources using Amazon Nova models with Amazon Bedrock inline agent for deep research. This approach gives you the flexibility of LangGraph, the powerful managed agents offered by Amazon Bedrock, and Databricks Mosaic AI’s operational support for evaluation and monitoring.

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."

Get Your Data AI-Ready with Knowledge Graphs & GraphRAG

Unlock trustworthy, enterprise-scale GenAI by combining the power of knowledge graphs and lakehouse architecture. Learn how the Neo4j–Databricks Connector enables advanced analytics, real-time recommendations, and GraphRAG (retrieval-augmented generation with knowledge graphs). See how companies like Klarna and a leading gaming firm are accelerating insights and productivity, and walk away with practical steps for building scalable, AI-ready data strategies.

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.

Overcoming Enterprise Roadblocks to GenAI at Scale: How Koantek helps Customers go from POC to Production

Enterprises are eager to explore Generative AI, but most struggle to scale beyond proofs of concept due to complexity, cost, and governance challenges. In this session, Koantek CEO Sohini Avirneni and SVP Guss Lababidi will share how Koantek, a Databricks Pure-Play Elite Partner and six-time Partner of the Year, helps organizations overcome these barriers. Backed by Databricks Ventures and powered by our Ascend AI framework, Koantek enables enterprises to operationalize GenAI with speed, compliance, and measurable ROI. Through real-world use cases spanning audit intelligence, chatbots, medical billing, and knowledge automation, you’ll see how Koantek and Databricks together turn GenAI vision into enterprise-grade outcomes.

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.

Unleash the Power of Gemini for Databricks

Elevate your AI initiatives on Databricks by harnessing the latest advancements in Google Cloud's Gemini models. Learn how to integrate Gemini's built-in reasoning and powerful development tools to build more dynamic and intelligent applications within your existing Databricks platform. We'll explore concrete ideas for agentic AI solutions, showcasing how Gemini can help you unlock new value from your data in Databricks.

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 apacevents@databricks.com.
Where is the event located?	The event is held at the Grand Hyatt, Bandra Kurla Complex, Mumbai.
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.