Session
How We Built Agent Mode in Genie Spaces
Overview
| Experience | In Person |
|---|---|
| Track | Analytics & BI |
| Industry | Enterprise Technology |
| Technologies | AI/BI |
| Skill Level | Advanced |
Agentic analytics promises to go beyond answering questions enabling AI to investigate, reason, and synthesize insights across complex data. But building systems that do this reliably is far from simple.Genie Agent Mode introduces a new approach to conversational analytics, where AI can explore multiple hypotheses, interact with data iteratively, and generate structured explanations. Under the hood, this requires careful orchestration of planning, validation, and context management to ensure results are both accurate and trustworthy.In this session, we’ll go behind the scenes to explore how Genie Agent Mode works and what it takes to make agentic analytics production-ready:- How Genie Agent Mode plans and executes multi-step analytical workflows- How the system maintains context and evaluates intermediate results- How accuracy and reliability are enforced through validation and safeguards- Key lessons learned building agentic systems for real-world data use cases
Session Speakers
Ryan Ziegler
/Software Engineer
Databricks
Alan Lee
/Software Engineer
Databricks