Scott McMahanAI models rarely fail suddenly. They drift.
Data changes. User behavior shifts. Model performance can slowly decline while everything still looks fine.
That’s why monitoring AI systems after deployment is critical. Without it, drift and performance issues may go unnoticed.
New article on AI model monitoring strategy:
