Session
Activating AI With Lakeflow and Agent Bricks
Overview
| Experience | In Person |
|---|---|
| Track | Data Engineering & Streaming |
| Industry | Healthcare & Life Sciences, Manufacturing, Financial Services |
| Technologies | Lakeflow, Agent Bricks |
| Skill Level | Intermediate |
Enterprise knowledge is trapped in PDFs, images, and office docs—far from the reach of AI. This session demonstrates how to unleash that data by ingesting it with Lakeflow Connect and scaling it with Agent Bricks and Lakeflow Jobs.We’ll cover:
- Accessing with Lakeflow Connect: How to efficiently ingest from common AI sources, including email, cloud storage, and popular applications—as well as how to preserve the file permissions, metadata, and lineage that’s critical for secure AI.
- Scaling with Agent Bricks and Lakeflow Jobs: How to turn AI models into production-grade ETL automation using AI functions and Databricks’ built-in orchestrator, with end-to-end patterns for search, data transformation, summarization, fuzzy matching and more.
- Built-in governance: How to ensure these workflows are production-ready, with robust governance, observability, data quality, pipeline management, and more.
Stop letting your most valuable data sit idle. Join us to transform fragmented documents into a governed foundation for data intelligence.
Session Speakers
Jason Ping (Product)
/Product Manager
Databricks
Archika Dogra
/Product Manager
Databricks