Description: A look at the near future and far future of various elements of Actuarial Models as defined through ASOP 51. What is driving the complexity for inputs, calculations, and outputs. Howe will actuaries handle these challenge?

Description: Discusses using the tseries package in the R computer language for developing historical series of data.

Description: This article discusses new develpments in computer technology including artificial intelligence, use of stochastic models and use of quantum mechanics in building computers.

Description: This article discusses gaining a competitive advantage by reducing new-business processing costs using point-of-sale technology.

Description: The University of Wisconsin–Madison used its Centers of Actuarial Excellence grant to develop technology enhanced learning (TEL) tools that would be distributed publicly to supplement the actuarial education classroom experience.

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: LOMA has published two additional reports on EDP Software and Services. Reports Nos. 14 and 15 in this series were reviewed in The Actuary of September 1972

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