Description: A panel of leading reinsurance executives provide perspective on topics to include cell and gene therapy, structured reinsurance, reinsurance demand for value based care arrangements, and how reinsurers view a variety of risk transfer opportunities.

Description: This session will discuss what is meant by 'bias' and 'fairness', the regulatory environment, how to identify and mitigate bias in models, and proper oversight and governance of model building. The session will include a case study.

Description: With the unprecedented proliferation in the size and complexity of data over the past decade, actuaries have invested considerable time and energy in the development of new skills and expertise in order to be able to understand and use “big data” to its fullest potential in the development of actuarial work product.

Description: How well can we predict ACA HHS Risk Adjustment Data Validation (HRADV) results? Put another way, how susceptible is the current HRADV process to small sample volatility? What potential remedies are there to the current model's shortcomings? Every plan, regardless of how many members they have above the 1000 minimum, count equally if they qualify for an HRADV with how the result is interpreted, and the subsequent HRADV risk transfer ($330M in 2023).

Description: The Society of Actuaries (SOA) Research Institute released a new research paper examining how actuaries can evaluate the incorporation of important health care technologies to reduce the cost of care.

Description: Short Form Professional Development Videos - PD Edge Pod IFRS 17 Building Blocks Recording

Description: A panel of leading reinsurance executives will provide an overview of the health reinsurance market that explores existing reinsurance transactions reported under Schedule S, large claim research drawing insight from the latest five-year Merative Commercial MarketScan Research Database, stop-loss reinsurance options for Accountable Care Organizations (ACOs), and other reinsurance applications being seen in the market.

Description: Các yếu tố chính ảnh hưởng đến lựa chọn nghề nghiệp của học sinh, sinh viên Việt Nam: tiết lộ từ Khảo sát của Hiệp hội Chuyên gia Thẩm định rủi ro Hoa Kỳ (SOA)

Description: This session will explore governance considerations for insurance carriers leveraging machine learning models. During the session, panelists will share insights on the evolving predictive model and AI regulatory landscape, as well as techniques for developing or enhancing AI governance frameworks that comply with emerging regulatory guidance.

Description: "Our Climate Risk Modeling for Life actuaries session will discuss: - The history and future of climate regulations - Climate risk modeling 101 - intersection of short term and long term climate modeling - The role of the actuary in climate risk modeling - The impact actuaries can have globally"