Generative AI is causing excitement but not success for most enterprises. This needs to change quickly, but it will take some work that enterprises may not be willing to do.
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The public cloud market is seeing exploding growth, and it’s easy to understand why. The interest in generative AI has sent enterprises running to their public cloud console to allocate even more resources, including data storage and compute, which tend to be higher-end and more costly.
You don’t need to look far for the disappointing stats. Gartner estimates that 85% of AI implementations fall short of expectations or aren’t completed. I see the same thing in my practice: Projects start and then stop, many never to be resurrected. You can google all the other reports of AI bad news; the general trend is that companies are good at spending money but bad at building and deploying AI.
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Reports indicate a significant shift in how cloud …