Description: This article explains how to create more maintainable models using abstractions by relating it to option, machine learning and machine intelligence models.

Description: The purpose of this paper is to discuss computer application, the management of an insurance enterprise in an automobile insurance marketplace wherein a number of insurers compete for marketshare and profit. The paper begins with a description of the computer program next, a cursory description of the model is given then, the assumptions of the model are discussed next, potential future modifications are discussed and, finally, a prognosis is given.

Description: The author notes: ‘as actuaries familiar with computers are thoroughly aware, the Halo notation the century-old life contingencies system we all learned as students has to be “linearized” strung out in a straight line for computer programming.’ This article describes a linearized notation that the author has used successfully for several years, for programming use only.

Description: Interest in blockchain is high among insurers and reinsurers. While it’s not universally useful the technology does merit continued closer investigation.

Description: This article describes how to model variable annuities using a GPU along with some of the stumbling blocks.

Description: A short introduction of the characteristics of Blockchain technology

Description: In January 1936, William Phillips, a London actuary, presented a paper to the Institute in which he recommended a methodology to allow life insurance companies to automate their actuarial calculations. This article discusses Phillps' work in this area.

Description: Comments on the article “Developing an Actuarial Programming Language” by Russell J. Mueller in the April newsletter in which it was suggested that “a study should be undertaken to determine the feasibility of developing” such a language. In this connection, the author feels it to be appropriate to draw attention to some practical considerations which should form part of such a study.

Description: The purpose of this article is to provide an overview of soft computing applications in actuarial science. Soft computing refers to modes of computing in which precision is traded for tractability, robustness and ease of implementation.

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