Chances are, your company is awash in a tsunami of data these days. And you’ve thrown everything from open-source databases to machine learning algorithms — as well as an army of data scientists — at the problem.
But I bet if you asked your data scientists how effective those tools are, they’d say they can still barely keep afloat. This is exactly why businesses today need to kick the tires on deep learning — there is simply too much data, and too much variety, for smart people to feature engineer their way to the right solutions.
Author: Mo Patel