Description: Members of the American Academy of Actuaries’ Solvency Committee have put together an acronym reference chart. This handy guide can be folded up to fit in your wallet and quickly reviewed so you can fearlessly enter an elevator.

Description: Big data, predictive analytics, machine learning and AI will likely transform the insurance market and the actuarial profession. The actuarial profession is seeing changes many markets, including health and property and casualty. This article describes these trends and provides an introduction into what companies and the Society of Actuaries (SOA) are doing to adapt and capitalize on these trends.

Description: Phil Gold reviews the effect of the competency framework on various stages of inception and development of the AXIS Actuarial System.

Description: A discussion of techniques that can help manage model risk and complexity.

Description: This article describes the Actuarial Research Clearinghouse [ARCH] CD-ROM Project whereby the highlights of each Actuarial Research Conference [ARC] presentation are videotaped and then digitized and recorded on a CD-ROM. This disk is then used to develop a computer-based, user-friendly, multimedia summary of the highlights of ARC.

Description: This article discusses the emergence of multi-processor computers and the importance of acquiring parallel computing skills.

Description: This article is a brief overview of what digital health is, how it is regulated, and who some of the big unicorns are.

Description: Discussion of the findings of a survey conducted by Deloitte Consulting on the experience insurers were having with automated underwriting. This survey was solicited by the Society of Actuaries' Marketing and Distribution Section Council, the Product Development Section Council and the Committee on Life Insurance Research.

Description: An overview of the basic tooling and packages available for the Julia programming language, with a focus on why this is of interest to the actuarial profession. It covers some of the built-in language features as well parts of the Julia package ecosystem that make Julia ideal for modeling and data analysis. This is the second installment in a series of article aimed at actuaries. The first installment, Julia for Actuaries, was published in the October 2020 edition of Actuarial Technology Today, and covered the base language itself, its high-level, math-friendly syntax, and why the actuary of the future should consider its adoption.