Jason Ping

A huge portion of the data that runs your business doesn't live in clean tables — it lives in millions of documents: invoices, contracts, forms, and filings. This is some of the richest context your enterprise has, and today's agents finally have a shot at unlocking it. But there's a catch: agents can't actually read your documents. On our OfficeQA benchmark, even frontier agents score below 50% on real enterprise document tasks because they struggle to read them. Close that gap, and every agent, dashboard, and decision downstream gets sharper. In this session, we'll show how Document Intelligence on Databricks turns unstructured documents into accurate, governed insights that power more accurate agents and analytics. We'll walk through how to build intelligent document processing pipelines with Lakeflow and AI Functions purpose-built for document understanding — taking your documents from raw PDF to rich answers in Genie. Walk away knowing how to turn your document corpus into the data layer that powers smarter, faster, and more trustworthy agents and analytics.

Your enterprise runs on unstructured documents that live everywhere: SharePoint folders, Google Drive shares, cloud storage buckets, email attachments. Pulling them into one governed place has historically meant stitching together custom scripts, brittle APIs, and pipelines that break the moment a vendor changes their template. In this lightning talk, we'll show how Lakeflow Connect makes unstructured data ingestion fully managed, incremental, and production-ready. We'll set up a SharePoint connector in minutes, land unstructured documents in Delta with Unity Catalog governance, and turn them into structured, queryable content using AI Parse Document, our research-backed AI Function for intelligent Document Processing. Walk away knowing how to turn the unstructured documents stored across external sources into a queryable data layer that powers smarter agents, dashboards, and analytics for every part of your business.