In the early days of cloud, shadow IT proliferated. Different teams acquired different services, with no centralized oversight. Over time, leaders saw the drawbacks of this approach, including unpredictable costs, compromised performance, and data privacy issues. IT teams began to take back control, and a centralized cloud function became the norm. Today, this pattern is repeating itself with AI. Until recently, most enterprises took an ad hoc approach, where different teams pursued AI as they saw fit. This led to many of the same problems mentioned above and made it difficult for businesses to move AI from proof of concept…

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