Description: This article shows how to deal with very large CSV files and the R programming language.

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

Description: Global megatrends in technology are disrupting the life insurance industry.

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: Recent and pending changes in financial reporting standards and regulations such as IFRS 17 and US GAAP Targeted Improvements are ramping up the performance pressures on actuarial models. New infrastructure technology in the cloud is driving modeling options that may well help actuaries successfully and economically meet these challenges and unlock even greater transformational change.

Description: This note presents a review of calculator financial functions for the Texas Instruments BA II PLUS calculator. This note, including a number of the examples used as illustrations, is reprinted with permission from the 3rd edition of the book Mathematics of Investment and Credit, by S. Broverman. Also, several examples from SOA/CAS math of finance exams old Course 2 will be presented illustrating the use of the calculator.

Description: We explore the question of how an actuary–artificial intelligence collaboration might look in the future and how actuaries should be trained to best leverage this technology. It felt fitting to accomplish this through a conversation with an AI system, as AI involvement is warranted to ground the analysis in the technology’s true capabilities.