Machine Learning in Operations

Today's episode is about how to trust machine learning in operations. This is a really serious issue because the attraction of machine learning is strong, but does not translate into operations. Why doesn’t it translate? Because operations is a closed loop process where we constantly get feedback and have to adapt and adjust. That makes it difficult to train models and hope that they work. This discussion gets into why that's the case and what we can do about it. Then we explore scenarios for machine learning and AI in operations. Transcript: https://otter.ai/u/UBjf5IVnKvebTfQgW1xlneZdjOU Photo: https://www.pexels.com/photo/high-angle-photo-of-robot-2599244/