Learn how to use feature engineering to turn raw data into actionable insights. See live demos of enrichments in the ecosystem.Ai Workbench.
| City | Time |
|---|---|
| San Francisco (UTC−7) | 8:00 AM |
| New York (UTC−4) | 11:00 AM |
| London (UTC+1) | 4:00 PM |
| Johannesburg / Cape Town (UTC+2) | 5:00 PM |
Feature engineering is where raw data becomes meaningful insight. In this crash course, we’ll walk through the enrichment options available in the ecosystem.Ai Workbench and show how they can be applied to real-world projects.
Expect a mix of explanation and live demonstration, highlighting which enrichments drive the biggest impact and how to select the right ones for your use case. Whether you’re just starting to experiment or looking to refine your model inputs, this session will give you a practical foundation for designing stronger features that improve predictive performance.


