Artificial intelligence and machine learning models can work spectacularly -- until they don't. Then they tend to fail spectacularly. That's the lesson drawn from the COVID-19 crisis, asreportedin MIT Technology Review. Sudden, dramatic shifts in consumer and B2B buying behavior are, as author Will Douglas Heaven put it, "causing hiccups for the algorithms that run behind the scenes in inventory management, fraud detection, marketing, and more. [1]
[1] By Joe McKendrick on ZDNet