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How to Navigate the Hype Cycle in AI
I was really taken by the fact that so many of them are not really AI specific. How do you navigate that given the hype cycle that we're operating in? My first piece of advice would be that for your particular use case your job to be done whatever business use case you're solving. I've seen organizations really struggle with that because they go into it with hype focusing on just the model and then try to figure out the whole thing with clouds and deployment afterwards.