From Lakehouse to Production App: Building Governed AI Apps with Replit + Databricks
Overview
| Experience | In Person |
|---|---|
| Track | Application Development |
| Industry | Enterprise Technology, Consulting & Services, Financial Services |
| Technologies | Unity Catalog, Databricks Apps, Lakebase |
| Skill Level | Intermediate |
Enterprise teams are sitting on years of valuable lakehouse data, but building apps to act on that data has always required scarce engineering resources and weeks of lead time. Replit and Databricks have changed that. With Replit's AI-powered development environment and Databricks AppKit, any team can go from a plain-language prompt to a production-ready app running natively on Databricks Apps, inheriting Unity Catalog governance, enterprise authentication, and observability out of the box. In this session, we'll share how enterprise teams are using this integration to put their Databricks data to work: building revenue scenario tools for sales teams, real-time ops dashboards, and AI-powered internal companions, without waiting on engineering. You'll leave with a clear view of the Replit + Databricks Apps architecture, a live demo of the full build-and-deploy flow, and concrete patterns for rolling this out in your organization.
Session Speakers
Axel Torbenson
/Field Engineer
Replit