Description: Feature article discussing image recognition and how it may affect actuaries in the future.

Description: Gather with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, pension, investment, product strategy, and more.

Description: We're introducing a new “cutting edge” wealth accumulation predictive framework, the predictive equity analytics (PEA) for life products (annuity, insurance, group employer benefits, retirement plan). PEA enables life insurers and policyholders to avoid market downturns and capture returns from equities (stocks, ETFs and mutual funds) predicted to increase in next one to three trade days via fund prediction advisory by insurers, additionally by individual policyholders. The capability does not exist in insurance markets nor in financial intermediary markets.

Description: This article discusses the publication of the “Encyclopedia of Quantitative Risk Assessment”

Description: The panelists address Health Insurance Portability and Accountabuility Act [HIPAA] related concerns for health insurers, such as: implementation issues, privacy, transactions and code sets, employer identification numbers, and current developments relative to the pending rules. From the Record of the Society of Actuaries, Volume 29, No. 2, Session 65

Description: 1992 SOA Annual Meeting, Washington, D.C. This session discussion is about technological advances. Topics discussed: 1. The exponential growth in power of the microchip. 2. The role of fiber optics in the revolution. 3. The role of the airwaves in the revolution. 4. The risks of over regulation.

Description: Article from The Actuary, January 1971 – volume 5 - Issue 1 is a list of some of the sources of information that may be useful to an actuary who wishes to increase his or her knowledge of data processing.

Description: Artificial Intelligence (AI) is expected to change the insurance industry more in the next 10 years than it has changed in the past 100 years. Rapid advancements in computing power and the exponential growth of Big Data are creating more opportunities to incorporate AI techniques and methodologies into actuarial work. This session is for the practicing actuary who would like to learn more about AI and how to use it to analyze insurance data. At the conclusion of the session, attendees will be able to understand the fundamentals of AI, to build an AI model and to identify AI opportunities in their work.