Lakehouse, Lagers & Legends [Bangalore]: Bridging Operational Data and AI Governance with LTAP & Unity Gateway

About This Session Join us for a Lakehouse, Lagers, & Legends session in Bangalore exploring how Databricks is bringing operational data and AI governance together to build more connected, reliable, and secure AI applications. AI agents need two essential things: access to fresh business data and the ability to operate within clear governance and security boundaries. Traditionally, transactional databases, analytical systems, and AI governance have operated separately, requiring complex pipelines and point-to-point integrations to connect them. In this session, Mohit Raut (VP of Technology) and Mohammad Afzal (Associate Data Engineer) will explore how Lakebase and Lake Transactional/Analytical Processing (LTAP) help bridge the gap between operational and analytical workloads, while Unity AI Gateway provides centralized governance for models, usage, and AI execution. Through practical architecture examples and a live demo, you'll see how these capabilities work together to connect operational data with governed AI applications, from a database record to an AI-generated answer. Whether you're a data engineer, platform engineer, architect, AI practitioner, or technology leader, you'll gain practical insights into building more integrated data and AI architectures. Why Join Bridge Operational and Analytical Data: Understand how Lakebase and LTAP bring transactional and analytical workloads closer together. Access Fresh Business Context: Explore how operational data can support analytics and AI without relying on traditional change data capture (CDC) pipelines. Strengthen AI Governance: Learn how Unity AI Gateway helps manage model access, usage limits, budgets, and security controls. Improve Visibility and Control: Discover approaches to usage tracking, sensitive-data guardrails, and end-to-end AI tracing. See It in Action: Follow a live demonstration connecting operational data with governed AI responses. Connect with the Community: Meet local data engineers,…