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

Description: David Januszewski looks at the the development of open source software in statistics. By comparing the virtues between SAS, the proprietary software and R, the open source software used by statisticians, he thinks that open source software "can and does coexist with the proprietary software" and "both have a purpose. "He further looks at the availability of the open source software in the actuarial profession and does not see "open source software sweeping across actuarial science like it has with other fields". Dave explains the possible uses and virtues of the open source software to actuaries and asserts that it may be beneficial that the open source is used together with the propriety software.

Description: Health Watch, Issue 79, December 2015, Health Watch

Description: This paper first discusses the history of the legislation of the joint and survivor benefits for the uniformed service personnel. It then goes on to address the specific actuarial assumptions made and the formulas developed for applying these assumptions for adaptability to the UNIVAC. This paper closes with specific programming procedures involved in using the UNIVAC.

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.