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How a 170-year-old insurance firm uses data analytics to assess risk

CIO | Jun 4, 2021

If data is the new oil, the insights that come from analyzing it – make that loads of it – are goal for companies hungry to satisfy customers and boost revenues and, ideally, profits. 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. Join us as we discuss both the importance of and challenges to combing through decades worth of data to help build accurate and equitable risk models, as well as how the company attracts the talent required to achieving desired outcomes for customers and the business.

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