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
Discover innovative strategies and tools to enhance your data and AI capabilities. - Network
Connect with industry leaders and peers to share insights and foster collaboration. - Engage
Immerse yourself in sessions and discussions that drive actionable solutions for your business.
Agenda
| 8:15 AM - 4:00 PM |
Registration Check in at the registration desk to receive your event badge and essential information. |
| 8:15 AM – 4:00 PM |
Expo Discover cutting-edge solutions from leading data and AI partners and sponsors. |
| 9:00 AM - 12:15 PM |
Keynote Hear from visionary leaders as they unveil the latest trends and innovations shaping data and AI. |
| 12:15 PM - 1:45 PM |
Lunch Enjoy a networking lunch with peers and speakers in a relaxed, collaborative atmosphere. |
| 1:45 PM - 5:00 PM |
Breakout Sessions Dive deep into topics with expert-led breakout sessions tailored to your data and AI interests. |
Speakers
Chief AI architect
Standard Chartered Bank
Product Manager
Databricks
Senior Data Analyst
ESGpedia
Senior Staff Technical Instructor
Databricks
Vice President & General Manager of ASEAN & Greater China
Databricks
Manager, Data & Analytics
Hafnia
Senior Director of Product, Mosaic AI
Databricks
Solutions Architect
Databricks
Senior manager, Solutions Engineering
Confluent
SVP Alliances, Enablement & Marketing
Koantek
Solution Engineer
Firebolt
Director of Engineering
ESGpedia
Deputy Chief Executive Officer
IMDA
AIML and Data PSA Lead
AWS
Data Foundation Partner Solution Architect
AWS
Head of Data Science and Engineering
GetGo Carsharing
Director, Manager Product Management
Databricks
Vice President of Artificial Intelligence
Databricks
Databricks
Deputy Chief Data Officer
GovTech
Senior Manager, Field Engineering
Databricks
Chief Data & Analytics Officer
Techcombank (TCB)
Chief Technology Officer and Deputy Chief Executive
GovTech Singapore
Senior Solutions Architect
Databricks
Senior Enterprise Account Executive - ASEAN
Fivetran
Solutions Architect
Databricks
CEO
Koantek
Solutions Architect
Databricks
Data Analyst
ESGpedia Pte Ltd.
Senior Pre-Sales Engineer
Neo4j
Solutions Engineer
Databricks
Featured sessions
10ms Queries on Iceberg: Turbocharging Your Lakehouse for Interactive Experiences with Firebolt
Open table formats such as Apache Iceberg or Delta Lake have transformed the data landscape. For the first time, we’re seeing a real open storage ecosystem emerging across database vendors. So far, open table formats have found little adoption powering low-latency, high-concurrency analytics use-cases. Data stored in open formats often gets transformed and ingested into closed systems for serving. The reason for this is simple: most modern query engines don’t properly support these workloads. In this talk we take a look under the hood of Firebolt and dive into the work we’re doing to support low-latency and high concurrency on Iceberg: caching of data and metadata, adaptive object storage reads, subresult reuse, and multi-dimensional scaling. After this session, you will know how you can build low-latency data applications on top of Iceberg. You’ll also have a deep understanding of what it takes for modern high-performance query engines to do well on these workloads.
AI 360° – How Artificial Intelligence is Shaping Corporate Sustainability Today and Into the Future
Artificial Intelligence is transforming corporate sustainability by streamlining the most complex aspects of ESGpedia reporting and regulatory compliance with innovative automation and precision.
This session explores the synergy between ESGpedia’s unified sustainability platform and Databricks’ advanced data and AI infrastructure, enabling seamless data collection, emissions calculations, and analytics for organizations navigating new climate disclosure rules across Asia-Pacific. Discover how cutting-edge solutions like semantic search, AI-driven emission factor matching, and dynamic dashboards are boosting productivity, simplifying regulatory processes, and accelerating decarbonization, helping businesses remain resilient and competitive in a fast-evolving landscape.
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: Accelerating Data Intelligence and GenAI Transformation
This session delves into how organizations can simplify data and AI governance, minimize operational complexity, and accelerate innovation by running Databricks on AWS. It covers the unified Databricks Data Intelligence Platform integrated with AWS services, demonstrating best practices for cost-effective, secure, and scalable analytics and GenAI workloads. Real-world case studies like Evergent and healthcare examples illustrate practical value, self-service analytics, and trusted insights achieved through this partnership.
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 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.
Pre-requisites
Recommended experience in:
- Python programming
- Basic understanding of Databricks, including Unity Catalog
- Familiarity with ML/AI concepts
Related training:
- Databricks Fundamentals
- AI Agents Fundamentals
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 from visionary leaders as they unveil the latest trends and innovations shaping data and AI.
| Time | Description |
|---|---|
| 11:00 AM - 11:20 AM | Agentic AI for the Enterprise by Craig Wiley Senior Director of Product, Mosaic AI, Databricks |
| 11:20 AM - 11:40 AM | Customer Spotlight - Standard Chartered, AI Factory by Ahsan Ijaz Chief Architect - AI, Standard Chartered |
| 11:40 AM - 12:10 PM | Fireside chat: Unlocking Enterprise AI Naveen Rao, PhD, VP of AI, Databricks Sau Sheong Chang, CTO and Deputy Chief Executive, Govtech Singapore |
| 12:10 PM - 12:15 PM | Closing by Cecily Ng VP and GM of ASEAN & Greater China |
Keynote
Hear from visionary leaders as they unveil the latest trends and innovations shaping data and AI.
| Time | Description |
|---|---|
| 9:00 AM - 9:10 AM | Welcome Address by Cecily Ng VP and GM of ASEAN & Greater China, Databricks |
| 9:10 AM - 9:50 AM | Keynote: Data Intelligence for the Enterprise by Naveen Rao, PhD VP of AI, Databricks |
| 9:50 AM - 10:10 AM | Customer Spotlight - Techcombank by Santhosh Mahendiran Chief Data & Analytics Officer, Techcombank |
| 10:10 AM - 10:30 AM | AI-Powered Business Intelligence by Ken Wong Senior Director, Product Management, Databricks |
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.
Modernizing Data Ingestion: Escaping the Pipeline Cost Trap
Organisations are adopting Databricks to power AI, but outdated data pipelines can’t keep up. Multiple ingestion tools create duplication, rising costs, and delays—while AI requires real-time, high-quality data that traditional pipelines were never built to deliver. In this session, we’ll explore how pipeline sprawl silently drains budgets and slows AI adoption—and how a modernized approach restores efficiency and ROI. Learn how Fivetran, the leader in modern data movement, helps organisations break down silos, deliver real-time reliable data into Databricks, and reduce time to insight—all while lowering costs and enabling teams to focus on innovation.
Overcoming the Enterprise Roadblocks to GenAI at Scale - with Koantek
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.
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%.
Uncover Hidden Patterns with Graph
Enterprises today are looking beyond traditional analytics to unlock the full potential of their data. By combining the power of Neo4j’s graph database technology with Databricks’ unified data and AI platform, organizations can uncover hidden patterns, relationships, and insights that would otherwise remain invisible. In this session, Neo4j and Hafnia will demonstrate how graph technology seamlessly integrates with Databricks to make data AI-ready. Clara Jacobsen will walk through the joint architecture, share real-world use cases, and illustrate the tangible benefits organizations can achieve—today and in the future—by augmenting their data pipelines with connected data insights. To wrap up, Xavier Pilas will highlight key takeaways and how you can apply graph-powered analytics to drive better business 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.
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 daiwt-sg@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 have made provisions for vegetarian and vegan meals. If you have additional dietary restrictions, please email us at daiwt-sg@databricks.com, and we will do our best to accommodate your needs. |
| Where is the event located? | The event is held at the Sands Expo and Convention Centre, 10 Bayfront Ave, Singapore 018956. |
| How do I get to the venue? | Sands Expo and Convention Centre, accessible via Bayfront MRT Station (Circle/Downtown Line) or by taxi/Grab to Marina Bay Sands. |
| Is there parking available? | Yes, paid parking is available. Concession parking coupons (S$8.56 nett, single-use) are available by presenting your event badge at the MBS L1 Technical Counter or L3 MICE Business Centre. |
| Will there be Wi-Fi at the venue? | Yes, complimentary Wi-Fi will be available throughout the event space. |
| 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. |
