Session
How Adobe Extracts Value From Cata With Agentic AI-Powered Data and Analytics Engineering Workbench
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Data Strategy |
Industry | Media and Entertainment |
Technologies | MLFlow, Databricks SQL, Mosaic AI |
Skill Level | Beginner |
Duration | 40 min |
Discover how an AI-first, agentic solution is redefining the Data Development and Delivery Lifecycle (DDLC). This next-generation engineering workbench equips data engineers, analysts and practitioners with intelligent automation, context-aware guidance and collaborative capabilities to accelerate and streamline every stage of the data lifecycle — from business use case definition to actionable insights. By embedding agentic AI across the workflow, the platform significantly enhances development speed, quality and delivery efficiency, enabling organizations to realize data and analytics outcomes faster and with greater confidence.
Session Speakers
IMAGE COMING SOON
Noah Levine
/Global Head, Media & Entertainment GTM
Databricks