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: Machine learning models are not black-boxes; these models can easily be interpreted using tools like SHAP, LIME and Anchor. These tools can facilitate the understanding of the model and the business problem. We can used these tools to build better models and communicate how predictions are generated. This article demonstrates their use in a mortality model.

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: This article will be focused on maximizing the reuse of code using features available within Moody’s Axis specifically targeted at using Formula Link.

Description: What is a "super" model? How do we develop, maintain, and visualize them? What is the difference between models and assumptions? Most importantly, how can we use all of this to quantifiably improve risk management?

Description: 2011 SOA International Financial Reporting for Insurers Seminar, Hong Kong. This is a spreadsheet associated with Session 26 – 'Presentation Workshop' held at the 2011 SOA International Financial Reporting for Insurers Seminar in Hong Kong. This spreadsheet facilitated the objectives of the workshop which focused on building the statement of comprehensive income using the exposure draft approach.

Description: Adjusting the 1985 NAIC Cancer Claim Cost Tables, a collection of morbidity tables, for Inflation and benefit changes Issue No. 34.

Description: This article is about how to start a career in the technology field.

Description: Satirical article about different computer programming languages.

Description: Feature article that introduces readers to the R computer language.