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: Article from The Actuary, June 1971 – volume 5 - Issue 6 is a recap of the LOMA Systems Forum held in New York, March 15-17, 1971.

Description: When setting reserves, multiple methods are often used in the creation of the reserve estimate. Judgment is warranted to combine these different estimates into a final recommendation. This paper describes two techniques that can be used to combine these estimates that may result in better accuracy and lower variance.

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 review of the Johns Hopkins Data Science Specialization courses with special emphasis on how they may be useful to actuaries.

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

Description: From a session at a meeting of the Society of Actuaries held in San Diego, CA, June 22-23, 2000 The panel discussion covered: · The basic concepts underlying fuzzy logic · Current applications to risk classification and pricing · Possible future uses of fuzzy logic · The basic concepts underlying neural networks · Current applications of neural networks in life insurance · Possible future uses of neural networks

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.