Description: Most people will now have had some exposure to large language model tools such as ChatGPT and will have been impressed by their ability to write essays or generate computer code. However, fewer people will be aware of the next phase of AI, which will turn AI chat assistants into more fully fledged AI colleagues.

Description: Session 2H: Reinsurance Market Update

Description: Learn about the innovations of life & health products and distribution in the Asia market.

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: High level overview on how to implement a risk adjustment chart chase program.

Description: This summary of presentation given at the 2019 Annual Meeting covers a personal perspective on factor behind innovation in insurance. Four key themes are discussed: 1. Customer focus 2. Value of partnerships 3. Experimentation 4. Obstacles to innovation

Description: Zero-Knowledge Proofs (ZKPs) represent an innovative suite of cryptographic algorithms that empower the insurance community to validate the accuracy of sensitive information without revealing the actual information itself. Mutation with the use of non-traditional data entering the insurance processes of customer acquisition and in-force management is currently taking place. A shift toward using non-traditional data in insurance customer acquisition and in-force management processes is currently taking place. This evolution is captured in the Australian market through surveys and interviews. Come and join us to learn about these two new research studies that open up the possibilities for the insurance industry to be more efficient in delivering its value to the society.

Description: Advancements in machine learning modeling as well as new sources of data coming to the fore help feed the burgeoning industry of InsurTech applications in underwriting. By attending this session, you will learn about the latest developments in InsurTech applications in life/health insurance underwriting.

Description: Come prepared for an engaging workshop where you will have the opportunity to share thoughts on and work through a variety of questions concerning how actuaries must adapt to account for newer underwriting and distribution practices. Seating will be limited for this workshop focused on life actuaries who price and set assumptions for products impacted by new underwriting tools and processes such as accelerated underwriting (AU) or direct-to-consumer (DTC) distribution.

Description: The Casualty Actuarial Society, the Society of Actuaries Research Institute, the Society of Actuaries Joint Risk Management, Reinsurance and Financial Reporting Sections are pleased to make available key findings from the 2022 Emerging Risks Survey, the sixteenth in the series. Conducted by Max J. Rudolph of Rudolph Financial Consulting LLC, the survey incorporated a set of Emerging Risks defined by the World Economic Forum as the basis for several of the questions. The survey also included questions related to current risk management topics.