AI Agents in Action: Structuring Unstructured Data on Demand With Databricks and Unstructured
Overview
Experience | In Person |
---|---|
Type | Lightning Talk |
Track | Data Engineering and Streaming |
Industry | Enterprise Technology, Manufacturing, Financial Services |
Technologies | Delta Lake, DLT, Mosaic AI |
Skill Level | Intermediate |
Duration | 20 min |
LLM agents aren’t just answering questions — they’re running entire workflows. In this talk, we’ll show how agents can autonomously ingest, process and structure unstructured data using Unstructured, with outputs flowing directly into Databricks. Powered by the Model Context Protocol (MCP), agents can interface with Unstructured’s full suite of capabilities — discovering documents across sources, building ephemeral workflows and exporting structured insights into Delta tables. We’ll walk through a demo where an agent responds to a natural language request, dynamically pulls relevant documents, transforms them into usable data and surfaces insights — fast. Join us for a sneak peek into the future of AI-native data workflows, where LLMs don’t just assist — they operate.
Session Speakers
Christopher Maddock
/Head of Product and Engineering
Unstructured