In this special guest feature, Michael Liberty, COO and co-founder of Signifyd, argues that an overabundance of data scientists is slowing the growth of machine learning. What’s needed is a better balance of data scientists and engineers who can produce machine learning insights at industrial scale.
Prior to Signifyd, Michael was the Head of Digital Goods and Platform Risk at PayPal. Michael holds an A.B. in Economics from the University of Chicago and an MBA from Stanford. One of the unfortunate, unanticipated side effects of the title Data Scientist growing in popularity is that we’ve developed a misguided idea of how machine learning should be applied to the problems we’re trying to solve.
Author: Editorial Team