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Explore how LLM agents can autonomously run entire workflows for ingesting, processing, and structuring unstructured data in this 16-minute conference talk. Learn how agents powered by the Model Context Protocol (MCP) can interface with Unstructured's full suite of capabilities to discover documents across sources, build ephemeral workflows, and export structured insights directly into Databricks Delta tables. Watch a live demonstration where an agent responds to natural language requests by dynamically pulling relevant documents, transforming them into usable data, and surfacing insights rapidly. Discover the future of AI-native data workflows where large language models don't just assist but actively operate autonomous data processing pipelines. Presented by Christopher Maddock, Head of Product and Engineering at Unstructured, this talk provides insights into production-ready approaches for combining AI agents with modern data engineering platforms.
