Building a Data Science Team from Scratch

by Angela Guess Ashu Dubey, co-founder of 12 Labs, recently wrote in Forbes, “There are two main approaches for how you can spice up your current projects with data science. One is to license data science technology from another company. The problem with this approach is that AI technology has not sufficiently matured to be generic enough for broad use, though there are a few startups doing great work in this field. The second approach is what we adopted at 12 Labs. It was to build an in-house data science team. When we started, we didn’t have any data scientists. But within a year, we built several data science products that even established companies in the fitness space have not been able to build. Here are the steps we took…


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