Several predictions for data analytics in 2016 have focused on action rather than just analysis, and one data scientist sees 2016 as the year of greater “transparency.” But that transparency will be hard for some organizations to see, as demand for limited data science talent grows.
Michael Schmidt, CEO and founder of Nutonian, says, “2016 is the year that we bring transparency to all of the algorithms and statistics coming out of the data science movement. We’re at a point where we can predict incredibly well, and now it’s time to apply that in a much broader sense.”
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