Deep Dive into Building Recommender Systems
Discover the key ideas behind how recommender systems learn, adapt, and influence everyday choices, shaping more meaningful and relevant user experiences.
Discover the key ideas behind how recommender systems learn, adapt, and influence everyday choices, shaping more meaningful and relevant user experiences.
Explore static model workflows to build a simple recommender system with hands-on guidance in Jupyter Notebooks and the ecosystem.Ai Workbench.
Discover how behavioral design principles embedded in AI platforms enable personalized, real-time customer journeys and optimize engagement at scale.
Join Anene Britz and Matthew Hindley as they unpack 2025’s top AI moments, client wins, key lessons, and trends shaping 2026 for leaders.
Explore how to build and simulate dynamic model workflows using Python and the ecosystem.Ai Workbench for practical, real-world experimentation.