Description: The power and flexibility of Microsoft Office Excel have made in the ubiquitous analysis tool of choice for insurance companies in determining premiums and the risk value of clients. This article discusses controls to reduce errors in spreadsheets.

Description: This article discusses an upcoming SOA/CAS sponsored project regarding the Modeling of Economic Series Coordinated with Interest Rate Scenarios.

Description: The author has gathered a variety of resources, general theories, and specific practices concerning spreadsheet errors and their avoidance.

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: This article discusses the importance of establishing effective spreadsheet controls to mitigate the risk of errors and improve productivity.

Description: Discusses ways to minimize errors in Excel spreadsheets used for risk modeling.

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.