Description: A summary of a survey the Society of Actuaries recently conducted of health payer and provider executives to glean insights into predictive analytics trends.

Description: An exploration of moving predictive modeling capabilities in R to real time operations.

Description: The new chairperson of the SOA's PAF section, Anders Larson, discusses the variety of ways in which the section helps actuaries learn about PAF.

Description: A discussion on machine learning and how it can be used for forecasting.

Description: A discussion on how to use data visualization for model controls.

Description: This article discusses techniques used to create risk scores to help determine appropriate primary care panel sizes for a provider organization.

Description: The Possible Role of Convolutional Neural Networks in Mortality Risk Protection

Description: This paper explores how health care complexity challenges us to expand our repertoire of actuarial methods—and even recast our trend driver paradigm—in order to do our jobs better and maintain our credibility.

Description: This review discusses the notion that a diverse group of individuals, namely, a crowd, has greater wisdom and can make better decisions than a very accomplished individual expert or a very smart group of individuals who are similar to each another and applies this thinking to business in general.

Description: In Complexity: A Guided Tour, readers are given a short history lesson on the roots of dynamical systems theory, chaos and prediction.