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This sounds like a case where the AI is used in a "marketing" way to make people interested in a product, and then there isn't really much AI involved, and the people developing the AI have a struggle to prove that it's relevant to the business.

I wonder if DeepMind at Google has a similar problem. It is certainly getting a lot of headlines, but there are plenty of other AI groups within Google that do business-relevant things like improve search or ad matching or make Google Home's voice recognition work. I would not be surprised if in the long run DeepMind becomes a group that performed a neat stunt with Go, but kind of fades in practical relevance, like Watson with Jeopardy.



I've always viewed DeepMind as more of a skunk works program and less as a profit driven enterprise. DeepMind exists primarily to push the limits of what can be done when you put group of leading researchers together in a room, provide them with nearly limitless resources, and simply tell them to "go". I expect some of that effort to eventually trickle down into Google's consumer products (maybe a healthcare focused version of AutoML https://cloud.google.com/automl/). Google has already done a lot of work on the HIPPA side of things (https://cloud.google.com/security/compliance/hipaa/)


> This sounds like a case where the AI is used in a "marketing" way to make people interested in a product, and then there isn't really much AI involved, and the people developing the AI have a struggle to prove that it's relevant to the business.

It's pretty common in many industries to have products to showcase your chops while providing zero real world value and zero sales.


Deepmind has at least one example of saving Google millions: https://deepmind.com/blog/deepmind-ai-reduces-google-data-ce...




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