How COVID-19 Broke AI, And Why AI May Break Again

The last year has seen no shortage of unprecedented circumstances. All aspects of our lives, from work to travel to shopping, have changed. During this massive disruption, we have (unfortunately) learned why ML Ops - the practice of machine learning (ML) in production and the management of an ML lifecycle, should not be an afterthought but rather a critical element of getting value from AI.