Some cloud-based AI systems are returning to on-premises data centers

As a concept, artificial intelligence is very old. My first job out of college almost 40 years ago was as an AI systems developer using Lisp. Many of the concepts from back then are still in use today. However, it’s about a thousand times less expensive now to build, deploy, and operate AI systems for any number of business purposes.

Cloud computing revolutionized AI and machine learning, not because the hyperscalers invented it but because they made it affordable. Nevertheless, I and some others are seeing a shift in thinking about where to host AI/ML processing and AI/ML-coupled data. Using the public cloud providers was pretty much a no-brainer for the past few years. These days, the valuing of hosting AI/ML and the needed data on public cloud providers is being called into question. Why?

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