Description: Chairperson's column for the July 2016 issue of Predictive Analytics & Futurism.

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: The following case study walks through the steps of a predictive modeling exercise to illustrate one way analytics can streamline the underwriting paradigm.

Description: Medical management programs have traditionally addressed more acute and short-term issues with chronic disease. As LTC becomes an important product in the insurance industry, including disease management is likely to be valuable for reducing costs and prolonging the healthy, premium-paying portion of a claimant's life.

Description: The author recounts his experience as a keynote speaker at the Actuarial Research Conference and provides advice to young actuaries to present complex subjects in an understandable manner.

Description: How the speed of change is accelerating and how we could react to this as a profession.

Description: Society of Actuaries research efforts currently in development

Description: Interview with John Houston, Advanced Analytics and Predictive Modeling practice leader at Deloitte.

Description: Read the April 2017 issue of CompAct published by the Technology Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: Possible usage of tools that can automate time consuming processes, and lead to a different team structure and organization for predictive analytics team.