Description: Learn more about the predictive modeling that was applied to industry data for the lapse and mortality experience in the post-level term period. Novel approaches were taken to model the shock lapse, subsequent lapse, and mortality experience. Observe a demonstration of the Tableau tool, which was built to allow users to analyze data on their own.

Description: Predictive analytics is impacting various actuarial disciplines. During this session, we will discuss how predictive analytics could impact and enhance retirement and pensions, along with how pension/retirement actuaries can utilize various enhanced analytical techniques. <em>This breakfast is open to all meeting attendees free of charge. If you plan to attend, you must register in advance.

Description: This article gives a brief overview of ways to extend clustering analysis beyond basic methods such a k-means

Description: Feature article discussing the usefulness of Lorenz and Lift curves.

Description: This event is intended to provide an opportunity for members of the Actuary of the Future and Predictive Analytics and Futurism sections to network with other members, as well as a format to provide an opportunity to discuss hot topics in either/both sections. It is intended for actuaries registered in either section, as well as those interested in either section.

Description: This session will cover clustering techniques generally (k-means, hierarchical), and how k-means have been used to segment policyholders using third party features such as credit scores to assess customer profitability.