Description: The article warns actuaries that using predictive models in the underwriting process has a strong potential of inadvertently using variables that are prohibited by law.

Description: Identifies current trends and considerations when setting the mortality improvement assumption for individual life insurance in the US.

Description: The author presents autoencoders in a clear manner and then goes on to show an intriguing application where an autoencoder can alert us to events out of the ordinary.

Description: A discussion of the effective use of social media for risk management professionals to help educate the general public, including analysis of natural disaster responses, and the importance of establishing credibility as an online expert.

Description: Third article in a series on how to use predictive analytics to improve the development of long-term care projection assumptions.

Description: This article discusses the use of parametric distributions to model health care cost.

Description: The aim of this project is to present proposals for Variable Uninsured Life Annuities—or “Value annuities.” The report and the accompanying models illustrate how Value annuities work.

Description: Feature article describing how to use advanced predictive analytics for rate making in the insurance industry.

Description: The author reviews a book the debunks some of the hype we read about using quantity at the expense of quality. She also points out some unrealistic outcomes when data scientists lack business knowledge.

Description: Editorial for the May 2019 issue of Predictive Analytics & Futurism newsletter.