Explore static model workflows to build a simple recommender system with hands-on guidance in Jupyter Notebooks and the ecosystem.Ai Workbench.
| 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 |
The ecosystem.Ai platform empowers companies to easily build, test, and deploy sophisticated AI solutions grounded in behavioral science. In this demo, learn how to build static recommenders that actually work using our low-code Workbench, Python Notebooks, and the full Prediction Platform
We’ll walk through each step of the workflow, from data preparation to configuring your model and generating recommendations. This hands-on session is designed to connect theory with practice, giving participants a clear understanding of how static models function and how to deploy them in real-world scenarios.
