Evolving big data and analytic technologies are putting pressure on insurance companies to mitigate the risks associated with their actuarial and business models.
“Technology is helping insurers get better answers to their actuarial questions, but it’s also dramatically increasing the complexity of insurers’ actuarial models,” according to Henry Essert, U.S. risk and capital management leader at PwC. “That complexity introduces a higher degree of risk into model implementation—which, in turn, drives the business case for more codified model risk management best practices,” he maintains.
Register or login for access to this item and much more
All Information Management content is archived after seven days.
Community members receive:
- All recent and archived articles
- Conference offers and updates
- A full menu of enewsletter options
- Web seminars, white papers, ebooks
Already have an account? Log In
Don't have an account? Register for Free Unlimited Access