Towards stability and robustness

Practical AI: Machine Learning, Data Science

Episode | Podcast

Date: Tue, 20 Jul 2021 15:00:00 +0000

9 out of 10 AI projects don’t end up creating value in production. Why? At least partly because these projects utilize unstable models and drifting data. In this episode, Roey from BeyondMinds gives us some insights on how to filter garbage input, detect risky output, and generally develop more robust AI systems.