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.

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: This article shares our experience of using the cloud to do large-scale parallel processing and discusses some background regarding the cloud.

Description: This article covers the importance of a system peer review within the systems change control process and offers suggestions for creating more robust controls.

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: This address at the SOA 1990 San Francisco Spring Meeting presents an overview of artificial intelligence and expert systems. An explanation of AI and how it can help an insurance company are discussed.

Description: This paper is a sequel to Shapiro et. al. in that it discusses a similar role for CAI in topics specific to the text Actuarial Mathematics, by Bowers et. al 1986. The topics covered are the previous topics of actuarial notation, basic concepts, and what-if analysis, along with some new ideas for the presentation of stochastic models.

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: The Modeling Platform

Description: Technology is transforming the retirement space and more changes are expected in the future. Join a panel of experts to discuss what are the opportunities, trends and challenges associated with new technologies in the retirement landscape and how it is expected to impact consumers, if we can enable their successful integration.