Insurers are increasingly using advanced analytics to model expected outcomes. Two well-known examples in the life insurance industry are models for predicting policyholder behavior and to manage risk selection. The presenters will explore the various types of advanced analytics being considered in models and how the associated risks of these models can be incorporated into an enterprise's risk framework.
At the conclusion of the session, attendees will understand how advanced analytics can be used in conjunction with models to jointly assist a company's ERM framework.This session is presented by the Joint Risk Management Section.