Jyotsna Bharadwaj

Join us for a real-world exploration of Databricks Unity Catalog designed for data leaders scaling their platforms. We will tackle the challenge of governance at scale, demonstrating how to balance centralized management with decentralized, domain-driven operating models. Learn field-tested strategies for catalog organization that establish structured guardrails. These patterns will allow your teams to innovate rapidly without traditional bottlenecks. We will also cover how to accelerate metadata curation to empower true data discovery and a frictionless self-service experience. Leave with flexible best practices for cross-boundary collaboration, secure data sharing, and AI readiness that adapt to your organization's unique architectural needs.

This session is repeated. Integrating AI agents into business systems requires tailored approaches for different maturity levels (crawl-walk-run) that balance scalability, accuracy and usability. This session addresses the critical challenge of making AI agents accessible to business users. We will explore four key integration methods: - Databricks apps: The fastest way to build and run applications that leverage your data, with the full security and governance of Databricks - Genie: Tool enabling non-technical users to gain data insights on Structured Data through natural language queries - Chatbots: Combine real-time data retrieval with generative AI for contextual responses and process automation - Batch inference: Scalable, asynchronous processing for large-scale AI tasks, optimizing efficiency and cost We'll compare these approaches, discussing their strengths, challenges and ideal use cases to help businesses select the most suitable integration strategy for their specific needs.