Description: This three-part series provides an overview of the rapidly evolving and dynamic gene and cellular therapy landscape, from the clinical, historical, and risk transfer perspectives. It covers the actuarial considerations in pricing cell and gene insurance and reinsurance, the value assessment of the therapies, manufacturer pricing, and reinsurance cost.

Description: The Inflation Reduction Act represents the most significant changes to the Part D program since its inception 20 years ago. The implications will not only alter the benefits offered by Medicare Advantage (MAPD) and Prescription Drug Plans (PDP) but will alter the Part D cash flows and the seasonality of such amounts for interim reporting periods. In this session, we will provide a brief overview of the IRA changes and dive into how the changes could impact the 2008 Medicare Part D Accounting Practice Note.

Description: Explore a brief overview of federal income taxation of health insurers and selected technical tax topics during this panel discussion webcast. You'll dive into the evolution of heath insurers and healthcare-related services and the arising questions regarding their risk-bearing activities, as well as whether or not certain types of healthcare businesses qualify as "insurance companies" for federal income tax purposes. Also, expect to learn about loss reserves for guaranteed renewable contracts and how they can affect insurance company tax status. This webcast will continue to highlight how the IRS challenges loss reserves of health insurers as the panelists review the status of tax cases, IRS guidance and recent IRS activity regarding "margins."

Description: Dive into the released enhancements of MIM-2021, including a run through of its purpose and evolution, during this webcast. The Mortality and Longevity Strategic Research Program plans to release these updates in October. You will leave this webcast with an understanding of how to create a mortality improvement scale using the necessary steps and tools. Learn how to use MIM-2021 through instruction and demonstration that will properly prepare you to utilize this tool. There will be time for questions where you can ask about the projection process or provide feedback.

Description: Artificial intelligence is rapidly transforming the investment landscape. From natural language processing and large language models to physical AI applications like robotics, autonomous vehicles, and drones, the evolution of AI is reshaping both how we analyze data and where we find opportunity. We’ll begin by exploring the evolution of AI, which is already driving disruption across industries such as coding, customer service, and marketing. However, the future of AI is physical AI (drones, AVs, robotics). With valuations already stretched, and growing concerns about the “circular economy” and bubble risks, investors should focus on high-quality tech companies that generate free cash flow and deliver strong returns on invested capital. We'll explore examples of interesting companies across the globe: Meta, Alphabet, and Uber in the US; ASML in Europe; Tokyo Electron in Japan; TSMC in Taiwan; and BYD in China. The session will also examine how natural language processing and large language models are reshaping the way quantitative and fundamental managers extract insights from raw data. We’ll highlight how these tools are being deployed to enhance understanding of risk and return, and how they’re increasingly supporting collaboration between quant and fundamental teams.

Description: With the mandated health plan transparency files, health plans and providers are now able to substantially enhance their provider contracting efforts. Although the files are large and cumbersome they are market disruptors and provide new insights for provider contracting efforts. Explore a demonstration on the type of information now available and how it can be used to enhance this from both a health plan and health care provider perspective.

Description: Modern Actuarial work, being quite data intensive, provides many opportunities for actuaries to use the statistical skills that are part of their basic training. Furthermore, modern computing allows us to analyze vast quantities of data intensively, and each package will provide statistical "answers" to any questions the actuary might ask of it. However, in this particular field, it is often worth taking a step back, and ensuring that we recall and consider the warnings that come with each of the statistical procedures we might attempt to use. This will allow us to ensure that we guard ourselves against drawing inappropriate conclusions, which could come back to haunt us later.

Description: This session will cover the regulatory testing requirements issued by Colorado in its SB21-169 regulation, New York Insurance Circular Letter No. 7 issued in 2024, as well as other US States. It will also explore the actual implementation of these requirements on a company using Large Language Model on external data for life underwriting.

Description: This session will focus on long term disability insurance reserving practices. It will address current practices in calculating claim reserves and may include topics such as the following: Relevant Actuarial Guidelines, Studies used to evaluate claim termination experience and reserve margins, Estimation of future offsets, Mortality improvement

Description: "This session will explore the critical challenges and solutions surrounding algorithmic fairness in the life insurance industry. The presenters will delve into the fundamental mechanisms of model bias, examining how predictive algorithms can yield outcomes that systematically discriminate against certain groups through flawed machine learning processes, erroneous assumptions, or biased data. Participants will gain insights into the various manifestations of bias in insurance models and understand their profound implications for both consumers and insurers. Real-world case studies and examples from the insurance industry will illustrate these concepts, while a discussion of recent regulatory developments will provide context for compliance requirements. This session is essential for actuaries, data scientists, and insurance professionals committed to developing and maintaining ethical, unbiased predictive models."