If data is the new oil, the insights that come from analyzing it—make that loads of it—are a goal for companies hungry to satisfy customers and boost revenues. But as IT leaders know, data science is anything but exact and it requires a delicate balance of humans working in concert with machine learning algorithms. In this interview, Gareth Ross, head of enterprise technology and experience at MassMutual, discusses the importance of and challenges to combing through decades worth of data to help build accurate and equitable risk models at the 170-year-old insurance company.

By admin