Description: A review of the Johns Hopkins Data Science Specialization courses with special emphasis on how they may be useful to actuaries.

Description: Insurance regulations are undergoing a paradigm shift in determining capital and reserves. With Solvency II in Europe and principle-based reserving in the United States, the old formula-based static approach is being replaced or supplemented by a principle-based dynamic method. This change requires enhanced modeling, stochastic simulation and sensitivity analysis, which pose challenges to insurers whose infrastructure has not been built for big computation. This paper introduces a method of building complicated models with small reusable modules and running them on a many-task computing platform to achieve high performance with simplicity. The paper presents an example of a term life insurance model built to take advantage of computer hardware for parallel computing at the task level.

Description: A summary of a survey the Society of Actuaries recently conducted of health payer and provider executives to glean insights into predictive analytics trends.

Description: An exploration of moving predictive modeling capabilities in R to real time operations.

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: 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: A first look, and actuarial review of an electronic book for actuaries who wish to learn Excel beyond the basics.

Description: This article describes in detail how Microsoft Excel spreadsheets can be used to develop and test relational database projects.

Description: A description of the Technology Section's goals and accomplishments.