Moving an application to an AI-enabled cloud environment can create new capacity for automation, analytics, model integration, and elastic computing. It can also expose design weaknesses that were easy to ignore on-premises. The biggest AI cloud migration mistakes usually happen before the first production workload moves: teams rush discovery, assume every application is cloud-ready, or treat...