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Data need to be at the core of product development in the next few years. Not only in the post-hoc analysis of usage metrics and A/B tests. The continual intake and exhaust of data are determining how products behave and what new classes of products are possible. Machine learning models automatically adapt products to users’ preferences, make recommendations about next actions, and suggest future features and products. Data product managers needs understand this and incorporate it into their products.
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