Description: Most actuaries deal with model development at some point in their career. However, very few of us have proper training in programming, software engineering or software shop operations. Explore topics, techniques, and practices from the FinTech and IT industries that can be applied to building robust, high-quality actuarial models. This session will be of particular interest to actuaries engaged in 'in-house' model development, managers of modeling teams, and actuaries interested in software development.

Description: This article highlights business use cases where XTbML can define the tabled data in actuarial tables.

Description: Read the April 2017 issue of CompAct published by the Technology Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: Explores the open vs. closed systems debate with regards to actuarial modeling and exposes the over-simplification. Valuable for anyone who uses models.

Description: This article explores the possibility of using machine learning to improve, or potentially rewrite, actuarial code within actuarial software.

Description: This web page contains links to the following articles of interest to actuaries: 1. A July 9, 2011 New York Times editorial about recent studies suggesting that antidepressants aren’t effective after all, and 2. A March 10, 2011 Time Magazine article by Joel Stein titled, 'Data Mining: How Companies Now Know Everything About You.'

Description: This article explores strategies for optimizing actuarial models built on open system platforms. It begins by contrasting open and closed system modeling environments, emphasizing that users of open systems must take responsibility for in-house runtime optimization. The authors underscore the critical role that efficient, well-optimized models play in supporting a high-performing modeling team. To reinforce the techniques discussed, the article includes a case study focused on disability insurance modeling to offer practical insights.