Tech Industry Session: The High-Velocity Platform for Customer Apps
Overview
| Experience | In Person |
|---|---|
| Track | Application Development |
| Industry | Enterprise Technology |
| Technologies | Unity Catalog, Databricks Apps |
| Skill Level | Intermediate |
The hidden cost and engineering friction of maintaining fragmented infrastructure for customer-facing features slows your product velocity. As high-frequency data and intelligence become the core of the user experience, the traditional strategy of managing siloed operational and analytical stacks has shifted from a technical inconvenience to a strategic liability. For organizations that must ship faster while controlling infrastructure overhead, the path forward is a fundamental move toward consolidation. This tech industry session moves past the theory to provide a proven blueprint for architecting experiences built directly on a unified foundation. We will explore the shift from “integrated” to “built-on” and detail how to consolidate specialized databases, eliminate brittle data pipelines and use the lakehouse and Lakebase architectures to power user experiences at a fraction of the traditional engineering cost.
Session Speakers
Bruce Wong
/Sr. Director, Data Platform
Databricks
Dmytro Mindra
/Engineering Manager, ML Infrastructure
Superhuman
Paul Ellwood
/Head of Data Engineering
OpenAI