Description: Presented at May 2005 Spring Meeting. Panelists discuss strategies for increased modeling speed as risk management, valuation and product development activities have been requiring increasingly complex financial models.

Description: Discusses various quick fixes for Y2K computer issue.

Description: Explores the open vs. closed systems debate with regards to actuarial modeling and exposes the over-simplification. Valuable for anyone who uses models.

Description: A first look, and actuarial review of an electronic book for actuaries who wish to learn Excel beyond the basics.

Description: This article will be focused on maximizing the reuse of code using features available within Moody’s Axis specifically targeted at using Formula Link.

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