Description: Feature article discussing how the insurance industry can better serve the middle income sector. The author cites LIMRA's latest study on personal ownership of life insurance which reveals an under-served and poorly served market. Improvements in marketing, distribution, and the issue process are the keys, in the author's opinion to improvement.

Description: This article provides a brief overview of the current state of machine learning (ML) and artificial intelligence (AI) as they apply to actuarial science, including discussion around the integration of actuarial judgment with ML and AI. It concludes with an example of explainable ML through a python tool known as SHAP (SHapley Additive exPlanations), which is able to explain the key drivers behind individual ML or AI predictions.

Description: Editor’s note: This is the first article in a series of three covering the Society of Actuaries (SOA) Competency Framework. The subsequent articles will appear in future issues of the Actuary of the Future newsletter. The Society of Actuaries (SOA) Competency Framework is a powerful tool to enable you to design your future. Though it has been the SOA’s instrument for prioritizing continuing education and support to members since 2010, many actuaries are still not fully aware what a potent tool it can be to them in planning their personal careers.

Description: Gearing up-- exploring the rewards for completing the SoA Competency Framework tools of Self-Assessment and Personal Development Plan.

Description: This is the first of two articles discussing technologies used to control data. this article covers data management strategies.

Description: Analysis of Alzheimer’s Disease as a potential Critical Illness insurance benefit trigger.

Description: The August/September 2014 edition of The Actuary magazine—the Society of Actuaries’ flagship publication.

Description: Deep learning neural network applied to experience analysis for post-level term lapse and mortality.

Description: Market consistent valuations require path-dependent discounting for scenarios. IFRS 17's requirement to discount best-estimate cashflows using locked-in rates could give non-sensical results in many instances. This article describes a technique for calibrating each of the scenario's cashflows so that they can be discounted with other discount factors or curves without distorting the value of underlying options and guarantees.

Description: LDTI’s introduction has forced many insurers to examine their existing operations and technologies. They must determine how to optimize compliance efforts while balancing data, analytics and system modernization considerations to achieve maximum value. This article will examine the four key facets—the data, technology, processes, and people—essential to any successful LDTI exercise. It will also touch on the various approaches for tackling LDTI and how a modernization mindset can help insurers realize much greater transformation for the business.