Description: This article reviews underwriting and why it has remained unchanged for 50 years. The unhealthy lifestyles of Americans are examined. From Health Watch Newsletter, May 2006, Issue No. 52.

Description: This article provides information on how to navigate the Internet's World Wide Web and tap into resources of interest to actuaries.

Description: Even the best algorithms are only effective if they are trained on appropriate data. This article discusses common pitfalls in creating a training data set.

Description: A discussion on artificial intelligence.

Description: This actually is a copy of an appendix of a research paper sponsored by the SOA Committee on Finance Research. You can read the entire research paper: “Lapse Modeling for the Post-Level Period—a Practical Application of Predictive Modeling” at the SOA site https://www.soa.org/Research/Research-Projects/Finance-Investment/lapse-2015-modeling-post-level/#sthash.W9lERSls.dpbs, but you can read this valuable appendix copied here in this issue to see how to build a PM step-by-step using your data and the R programming language. We thank Richard Xu, Dihui Lai, Minyu Cao, Scott Rushing, and Tim Rozar for their excellent paper and the Society of Actuaries, for the permission to reprint this portion of the paper.

Description: Read the March 2018 issue of Small Talk published by Smaller Insurance Company Section. Practical information on trends that impact sections and activities.

Description: As M2M are exponentially increasing, we will soon see reinventing of whole business models and customer relationships.

Description: Applying the new GDPR terms to Actuarial work, to secure private data in portfolios while using those for pricing and reserving modelling in all business lines.

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