Description: Predictive models can improve the traditional actuarial assumption-setting process. Data science techniques can provide deeper insights into experience through their ability to identify key drivers, rank importance and account for interactions. The presenters will cover ways in which companies can utilize predictive analytics to set assumptions, including the various methods available and practical approaches for implementation. They will also discuss the advantages and challenges of using predictive models for setting assumptions for life, annuity and disability products.

Description: The presenters in this classic session will explore protection and accumulation products as well discuss the current state of the hybrid Life/LTC market. They will also examine the latest trends and the challenges to innovation and highlight key factors impacting the product actuary including the impact of technology, regulation and competitive environment.