Description: Shows why predictive modeling should be a necessary tool for the life actuary, identifies examples of various limitations in traditional mortality experience analyses, and also posits various predictive modeling techniques as a means of avoiding these constraints.

Description: This article delves into a new line of statistical thinking of the author, that may be useful for product development actuaries. The key concept is how product design can produce products that diversify quickly, meaning that the company can be confident of a profitable product line, based on fewer sales than might be true for other designs.

Description: In this article, we discuss the future of wearable technology in life insurance. Evidence from recent research shows that low levels of physical activity, as measured by steps per day indicate much higher mortality risk while higher levels of activity correspond with lower risk. The article shares insights of how insurers can use wearables to innovate by improving the customer journey, expanding insurability, engaging customers, promoting healthy lifestyles and improving risk assessment. Lastly, we discuss the challenges and considerations when using new data and technology to ensure success.

Description: Describes the methodology of conditional stochastic pricing.

Description: SOA Product Development Section Contest Winning Article. Contest was to provide a creative article on future technology for the life insurance industry.