Description: This article celebrates the tremendous progress that has been made in automating reinsurance data. It also looks at remaining issues, such as a lack of standardization, and challenges presented for the future.

Description: Overview of evolving industry trends and examples of how life insurers in Canada are innovating.

Description: Exploring how artificial intelligence can enable insurance to expand into new places with new insights.

Description: This paper documents the R language and its applications.

Description: This article describes the Actuarial Research Clearinghouse [ARCH] CD-ROM Project whereby the highlights of each Actuarial Research Conference [ARC] presentation are videotaped and then digitized and recorded on a CD-ROM. This disk is then used to develop a computer-based, user-friendly, multimedia summary of the highlights of ARC.

Description: The second of three articles exploring the new technology offered by Santa Fe, New Mexico-based Assuratech, Inc. Describes the development of the applied complex adaptive systems technology behind Assuratech’s highly sophisticated program that uses simulation and data mining techniques for accurate, reliable versatile risk modeling.

Description: Book review of The Mathematical Sciences, A Collection of 22 Essays, by the National Research Council's Committee on Support of Research in the Mathematical Sciences.

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: Artificial intelligence (AI) and Machine Learning (ML) are accelerating us into the fourth industrial revolution. In the next few years technological change and innovation will be rapid. The implications of AI on the actuarial profession are real and game changing. This session will help health actuaries understand what to expect from AI, how to begin using AI, and how AI will dramatically enhance the actuarial profession in the near future.

Description: The key tasks of credit risk capital project under CROSS II mainly focus onL(1 )Adjustment of measurement framework; (2) Calibration of risk factors, including both credit spread risk and credit default risk;3)Introduction of concentration risk measurement; (4) Higher requirement on look-through rule.