Description: Python has become the fastest-growing major programming language in the world. It has surged in popularity over the last decade, following the development of its industry-leading capabilities in data science, machine learning and artificial intelligence, and it is now one of the most globally popular and widely used languages. In this article, I discuss some of the reasons for its popularity and explain why many actuaries and insurers have started using Python.

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: Importance of bringing the DevOps mechanism in order to reduce the operational risks and to create a stable audit compliance practice in Actuarial world.

Description: This article is about the emergence of the financial modeling process in the actuarial tool kit.

Description: This article explains the importance of centralizing modeling departments. It goes further and explains the importance of making all aspects of modeling reusable. It explains the consequences of decentralization.

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

Description: CMS provides ACOs with monthly claims data for members, including their medical visits and ACO program eligibility. This data can be divided into Membership and Claims tables through the ETL process. However, when calculating PMPY at specific levels of detail using these tables, issues arise due to unrelated dimensions, leading to inaccurate and understated results. This article presents a solution to this problem by utilizing Tableau's data blending capabilities.

Description: This article contains reviews of the following books published in 1960: 1. 'Ensuring Medical Care for the Aged' by M. Spiegelman, 2. 'All Lines Insurance' edited by D.McGill, 3. 'Alternative Methods of Financing Old-Age, Survivors, and Disability Insurance' by J. J. Carroll, and 4. 'Installing Electronic Procedures-A Progress Report' by J. J. Finelli. Notices of other articles and publications are also included. From Transactions of Society of Actuaries 1960, Vol. 12, No. 34.

Description: This article introduces IT DevOps to actuaries and how it is applicable to them to improve their modeling efforts and make them more efficient.

Description: Presented at June 1985 Spring Meeting. Discusses: turning a data processing center into a profits center, licensing your computer software, legal problems in development of software from the employer-employee perspective, contracting for the development of software, patents, royalties.