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

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.

Description: Overview of regularization and least angle regression approaches.

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

Description: A concise overview of Generative Adversarial Networks.

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.