Description: Read the April 2020 issue of The Modeling Platform, published by the Modeling Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: Read the November 2019 issue of The Modeling Platform, published by the Modeling Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: The author delves into other important parts that should be in the scope of model validation besides the code.

Description: This article explains why distributed computing systems have grown in popularity as well as the benefits and drawbacks of implementing them.

Description: Actuarial models may seem like toy-tools, yet they are not all created equal when it comes to delivering results. All models are wrong, according to George Box, yet some are useful. Dealing effectively with operational risk, undue product complexity, and the eternal search for the right answer are keys to success.

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

Description: In this third phase, Sibson interviewed three researchers and actuarial modelers. The objectives of the interviews were to gain perspective on the conceptual model, model alternatives, methodology, and data sources.

Description: This article is the second installment of a three-part series and is focused on providing an overview of LTC modeling approaches and considerations.

Description: This article walks through the process of building a cluster model using off-the-shelf software.