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Successful predictive modeling takes skill and agility due to its fast-paced evolution and mind-bending scientific approach. Learn 6 ways carriers can become models of excellence.

There’s an all-you-can-eat buffet of information available to insurers, but is it too much data to digest?

The sophistication within every part of the risk-sharing process—from rate-making to underwriting to claims—has increased at a quickening pace, driven by greater precision and predictability and built on an ever-expanding amount of data.

Regardless of how insurance carriers reach customers--whether it's as a direct writer or through the independent agent channel--the one thing all insurers have in common is a passion for customer retention.

IBM unveiled new software that places predictive analytics directly into the hands of business users for faster, more insightful decision making.

Insurers always are looking for a better way to make important underwriting, claims, and fraud-prevention decisions, and it usually involves data.

In a perfect world--with an economy to match--predictive analytics and modeling solutions would be all over the insurance technology landscape.

IBM and SPSS Inc. have announced they have entered into a definitive merger agreement for IBM to acquire SPSS in an all cash transaction.