Description: James Glickman delivers his general session speech at the SOA 2019 SOA Annual Meeting & Exhibit in Toronto.

Description: With the rapid development of the Insurance market, insurance technology—including online insurance--continues to mature. Zhongan Online invests heavily in fintechand Zhongan Answer, an insurance robo-advisor, launched in 2018, could improve transaction efficiency by using artificial intelligence to communicate in a timely manner and solve the pain point of the perplexed insurance clause. Under a different consumption scenario, Zhongan Answer could reply to users in a timely manner, while also implementing private customized products and services by providing users with personal risk management and insurance assessment solutions so that users could easily and conveniently select the most suitable insurance plan. The intelligent shopping guide system of Zhongan Answer could improve transaction efficiency by analyzing the personal insurance intention and providing the humanized interpretation of insurance clause. Zhongan Answer has served millions of users and supported more than 100,000 insurance-related knowledge points with an accuracy rate over 90%. Zhongan Answer has provided more than four million Q&A services, and its intelligent shopping guide system covers more than 90% of insurance products.

Description: The lecturer presents the expectation of top management of the evolving actuarial role in smaller life insurance companies. From The Record, Vol.24(3), October 1998

Description: The prospects for China's health insurance has increased significantly in 2018, incentivized by a series of favorable government policies to support the development of commercial health insurance. However, the market still lacks relatively mature products and services. Overall there is a common understanding in the industry that good coverage plus service is the foundation for health insurance future development, and product innovation plus care management is key for an insurance company to maintain sustainable development in the competition. In this presentation, Dr. Yang will discuss the market trend both at home and abroad with respect to health management as well as its impact on product design, pricing and cost control. With the development of internet and big data, today’s health actuary has a special role in taking advantage of the digital transformation and achieving a high-quality and efficient health care service model.

Description: This session discussion is about smart product policies and a product smart policy. From Record of the Society of Actuaries Vol. 15, No. 2

Description: Summary of the Key Note address at the 1982 Annual Meeting of the Society of Actuaries by Dr. George H. Labovitz. Dr. Labovitz's topic was Participatory Management: a management style that involves personnel at all levels to influence direction and decisions.

Description: Andy Rallis delivers his speech at the presidential luncheon of the SOA 2019 SOA Annual Meeting & Exhibit in Toronto.

Description: This session discussion is about Captain Gerard L. Coffee's survival in a prison of war camp during the Vietnam war. From Record of the Society of Actuaries Vol. 15, No. 3B.

Description: This presentation shares experience and ideas of both AIA Group and AIA China during implementation of the IFRS17 project and will discuss potential impact and outlooks in the domestic market from IFRS 17. This presentation includes a general overview of an IFRS17 implementation project, focusing on changes and requirements, as well as the resources cost of the main challenges and relative resources.

Description: 1) Vision of the applications and development of data analytics in life insurance industry in Asia; 2) How big is the pie and what are the current obstacles insurers are facing; 3) Utilization of data and analytics target operating models as a competitive advantage, with focus on future readiness, controls, efficiency and effectiveness; 4) Potential roadmap ahead: a) Assessment of the current state of maturity levels of data and analytics initiatives; b) Identification of technology and competency gaps; c) Establishment of data integration and management process within BUs, alignment of advanced analytics tools across departments, with centralized data governance, technology structure and decision making framework; d) Definition of criteria and metrics to measure key outcomes and business value added. 5) Case study on agency behavior management: a practical example on how data analytics is being used in practice: (a) key business objectives: improve agent behaviors and maximize productivity with the lowest possible compensation costs; (b) data collection and current state assessment; (c) detailed predictive modeling process, modeling outcomes, and business implications; (d) implementation and monitoring process.