Description: These are the discussant comments for the concurrent session 3B: Comparing Mortality of Different Groups from the January 4-6, 2017 Living to 100 Symposium.

Description: This is one of eight essays from the collection: 2020 Living to 100 Essays.

Description: This is the Chronic Diseases and Longevity Risk: An Application to Type II Diabetes Insurancce Products paper authored by Hsin-Chung Wang, Jack C. Yue and Ting-Chung Chang for Session 6B of the January 13-15, 2020 Living to 100 Symposium in Orlando, Florida.

Description: InsurTech is commonly described as the providing insurance protection and services through new technology innovations, often with a goal of producing savings and efficiency from the traditional insurance industry model. InsurTech is a seen as a growing place where the actuarial profession provides expertise and services.

Description: This article summarizes statutory reporting and the Pinciple-Based Initiative that the Academy, the industry and the regulators have been working on in the U.S. It addresses whether a principles-based approach will simplify reporting regulations and make them more flexible.

Description: This report is presented in the form of a Tableau dashboard and is the sixth public release from this report series and contains the results of an excess mortality analysis for the fourth quarter of 2021. Data from 30 companies representing approximately 69% of the industry’s face amount inforce were included in the analyses in this report. A total of 3.2 million death claims from individual life policies from 2015 through December 31, 2021 make up the basis of the analyses. The report also compares the experience under COVID-19 of the insured population versus the general population.

Description: The recent wave of innovation in GenAI has unlocked an entirely new category of AI applications. Whereas AI has traditionally focused on automation and predictions, LLM’s and Generative AI give us the opportunity to create AI applications that act as copilots. This emphasis on contelligence and empowering knowledge workers has already begun to change the way work is done. High expertise knowledge workers such as actuaries will be able to use this wave of AI Apps to make better decisions and dedicate more of their attention to the parts of the role that require domain expertise and judgement. Join Charles Morris, Microsoft’s Chief Data Scientist for Financial Services, as he talks about the latest advancements in this space and the opportunities it creates for expert knowledge workers. Charles Morris is the Chief Data Scientist for Financial Services at Microsoft. Charles has deep expertise in the financial services domain and works with many of the world’s leading asset managers, banks, insurance companies, and financial platforms to develop and execute their AI strategies.Currently, Charles is focused on applying Generative AI to financial services and advising many top financial institutions in building their own copilots and reimagining their businesses.Charles is a data scientist and machine learning engineer by profession and an expert in MLOps. Before joining Microsoft, Charles practiced data science, machine learning, and cloud engineering in the asset management industry. He has been a featured keynote speaker at several prestigious events and forums and is a highly sought after public speaker in the domain of AI and Innovation.

Description: The use of data to assess risk is not new to the life insurance industry, but has historically been limited to leveraging structured data. Join us as we discuss the next frontier: unstructured data.

Description: Seeking researchers to analyze long-term risk trends via survey data and develop engaging report formats for broad audiences.

Description: It's your first full day of productive learning! Start it off right with a delicious breakfast and warm welcome.