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Succeed with AI by doing it backwards

One of the most important, and most neglected, aspects of an AI project is problem definition. Too often teams start with their data, see what kind of ML/AI insight they can generate and then go off to find someone in the business who can benefit from it. The result? Lots of successful AI pilots that can’t make it into production. To get into BUSINESS production, AI teams should work backwards. Working with the business to define the decision-making to be improved, identifying the kinds of ML/AI that would really help and only then going to look for data.
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