Executive Summit Roundtable Discussion
summary
Building an ML org in a greenfield at Orangetheory means instituting a shared language, peer-reviewed dataset design, a feature store and model registry, and hiring specialists instead of unicorns. A central AI team at Prosus prototypes a model-to-KPI dashboard that attributes impact (iFood handles ~40M deliveries/month) and can quantify fraud prevented for some models while classifying others as enabling. Cruise runs hundreds of test cars feeding event analysis bots into a closed-loop retraining/backprop cycle and treats org structure as an architectural lever.
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chapters (6)
- 0:00Start
- 7:28Build versus Buy
- 9:12Hiring
- 11:27Paul Vanderbohr Senior Director of Data Data Science at Process
- 13:46Edtech
- 21:44Hussein Mahana
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