Explore how to build and simulate dynamic model workflows using Python and the ecosystem.Ai Workbench for practical, real-world experimentation.
| City | Time |
|---|---|
| San Francisco (UTC−7) | 7:00 AM |
| New York (UTC−4) | 10:00 AM |
| London (UTC+1) | 3:00 PM |
| Johannesburg / Cape Town (UTC+2) | 5:00 PM |
In this session, our Head of Product, Eric, takes us through how to build dynamic model workflows and set up simulations to test them in both Python Notebooks and the ecosystem.Ai Workbench. You’ll learn how simulation environments help visualize and validate how models behave under different conditions before deployment.
The session will include a hands-on demo showcasing how to configure and monitor simulations. Expect a practical, guided walkthrough designed to make dynamic modeling more tangible, connecting the logic behind model design with the visual clarity of simulation data.
