AI agents are everywhere - but how do they actually work in a real data platform?

In this session, we’ll go beyond chatbots and build a practical, enterprise-ready multi-agent system using Databricks Agent Bricks. You’ll see how structured data (SQL tables, Delta Lake, Genie Space) and unstructured documents (PDFs, invoices, call logs, reviews) can be orchestrated through a supervisor agent to answer complex business questions.

Using a realistic enterprise demo, we’ll walk through:

Extracting invoice data from PDFs and images into structured tables

Grounding answers in product manuals and compliance documents

Analyzing customer sentiment from call transcripts and reviews

Routing tasks across specialized agents using a supervisor

Connecting everything back to SQL analytics and dashboards

This is not theory — this is a working architecture that connects your existing SQL data estate to modern AI workflows.

If you work with SQL, data engineering, or analytics and want to understand how agentic AI fits into the real enterprise stack, this session is for you.