Databricks just solved a huge problem - unlocking the value from unstructured data. One of the biggest challenges enterprises face when scaling agents is access to unstructured data. Nearly 80% of enterprise knowledge is trapped in PDFs, reports, and diagrams that agents can’t read, understand or reason over. These documents hold critical context, yet most AI agents couldn’t read them.
With a single SQL command, ai_parse_document organizations can transform millions of their documents into structured, governed, and queryable data:
https://www.databricks.com/blog/pdfs-production-announcing-state-art-document-intelligence-databrick...
The beauty of this is not just limited to the SOTA models. It is the full platform integration that integrates this capability with Spark Declarative Pipelines, governance with Unity Catalog, and seamless use across Agent Bricks, Vector Search, and AIBI.
Now think about an AI Agent that can automatically extract unstructured data into structured data and puts them into the Unity Catalog as SQL queryable data assets. Now imagine these assets exposed via Databricks Managed MCP Services. All of sudden the pdf extracted insights is available to a whole host of AI Agents - one time parse but unlimited distribution of captured insights supporting diverse use cases.
