Description: This article describes how to externalize code of Moody's Axis platform to Visual Studio, so that all the actuarial calculation code run through corporate DevOps pipeline. This article gives specific examples of the author has used in his job to accomplish automated model governance.

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: Summary of research project designed to document method to credit interest rates to account value based products. The investment year method (IYM) can theoretically align with investment strategy and be fair to policyholders. These products were designed in the 1980s with guaranteed nominal rates above what is currently accessible so most products credit the guaranteed rate. This paper documents how it could be resurrected during the next interest rate cycle.

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: This session will discuss strategy and tactics for becoming good stewards of consumer/customer data. Topics will include various techniques, such as anonymization, pseudonymization, tokenization, and the merging of disparate, de-identified data sources.

Description: Tomorrow’s risk landscape is shaped by macro trends and their interconnections, and those new, changing but not-yet envisioned risks will shape tomorrow's insurance needs. Karen would like to share Swiss Re's insights on new emerging risk themes and trends, climate change and its effects on the L&H business. Hopefully the session can provoke new ideas and enable us to build resilience together.

Description: The session will talk about the basic knowledge of GLM model that is relevant for insurance professionals. It will consist of explaining the concept, issues, tools and applications especially from insurance industry perspective. The session will also talk about how actuaries can benefit from predictive analytics. Advanced business analytics provides employers with insightful decision making and affords the opportunity to assess a marketplace from a totally new perspective. In this session, I will share some modelling techniques used in general insurance company for reference.

Description: These assumption tables provide the range and cumulative values used in the Relative Risk Tool in the calculation of Relative Risk scores and Prevalence values.

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