AI/ML Model Reliability

Artificial intelligence and machine learning are critical for decision-making throughout the manufacturing process. This can run the gamut from predictive maintenance of machines and equipment, quality control of produced goods, and overall security. However, AI/ML is not an exact science. If fact, models can differ for a variety of reasons, including biases, drift, or lack of transparency. And that must all be accounted for. The solution involves regular model updates, expandable/updatable AI frameworks, and ongoing monitoring.

This session is part of our “Smart Manufacturing Day” virtual conference. Registration/event page here.