A small change to a data warehouse rarely stops where it starts. Even in automated environments, teams still need to trace dependencies, assess downstream impact and coordinate updates across multiple layers.
How much of that work can AI take on and where does it still require an engineer’s judgement call?
In this webinar, data experts, Michal Ventruba, Filip Kraus and Pavel Strnad from UD4D, a WhereScape partner, will show where AI adds value to automated data warehouse development and which decisions should stay with the engineer. They will introduce the UD4D AI Accelerator, an agentic enhancement that works alongside WhereScape and demonstrate it on a real repository.
The session will cover:
- Where manual effort remains in automated data warehouse development and how AI can reduce it
- How AI uses WhereScape RED and 3D metadata for lineage tracing and impact analysis
- How to keep governance and human control in place: review before every write, verification of the result and a full audit trail
- A live demonstration of the UD4D AI Accelerator, showing how AI propagates an approved new column across WhereScape RED, 3D and the target database, with measured time savings
Attendees will learn how AI can help data teams deliver changes faster without replacing their existing tools or processes.
Join us on Monday, November 16, 2026, at 10:00 AM ET // 4:00 PM CET to see AI at work in a WhereScape environment, including a live demo of the new UD4D AI Accelerator.
