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

Description: The complex world of life insurance, historically the domain of those gifted in integral calculus and probabilistic and present value mathematics, is explored using Excel spreadsheets and the Solver macro. The cash flow approach to learning life insurance examines how the cash flows through an insurance company without using higher math.

Description: Presented at September 1995 Valuation Actuary Symposium. This session talks about the Long-Term Care Insurance Valuation Task Force report.

Description: A summary of the risk that the use of spreadsheets pose, along with key controls to reduce the risk.

Description: Feature article discussing new approaches to actuarial modeling.

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

Description: Presented at May 1996 Spring Meeting. This panel shows how underwriters can use technology to obtain low-cost/high-value underwriting information and dramatically improve productivity. New screening tests and modification of standards for international markets are also discussed.

Description: Discusses some of the more common software-design issues that can reduce the productivity of the software-development team and the software's adaptability to competitive market and statutory requirements.