Shah Amini

High-quality Genie Agents (formerly known as Genie Spaces) are built on a foundation of clear metadata, curated semantics, and continuous iteration. New capabilities make it faster than ever to bootstrap and develop Genie Agents. In this session, we'll show how to design, refine, and scale Genie Agents that consistently deliver accurate, trusted results. Topics include: - Using Unity Catalog Business Semantics (Metric Views) improve accuracy and consistency from the start - Leveraging Genie Code and knowledge mining to automate space setup - How to define metadata and context in the Genie knowledge store - How to use evaluation and Benchmarks to measure accuracy and guide improvements - Best practices for monitoring and optimizing Genie Agents at scale

Unlock Genie's full potential with best practices for curating, deploying and monitoring Genie spaces at scale. This session offers a deep dive into the latest enhancements and provides practical guidance on designing high-quality spaces, streamlining deployment workflows and implementing robust monitoring to ensure accuracy and performance in production. Ideal for teams aiming to scale conversational analytics, you’ll leave with actionable strategies to keep your Genie spaces efficient, reliable and aligned with business outcomes.