Description: With the 2024 presidential election one week in the rear-view mirror, actuaries and health policy experts will discuss the potential health policy implications in the next four years in relation to the election results. Focus will be on the changing dynamics within Affordable Care Act (ACA) marketplaces with the knowledge benefit of the next president having administrative experience in the ACA environment. Session attendees will be well-equipped to discuss the post-ACA health policy implementation of presidents Biden and Trump, recent policy proposals, and potential legislative/regulatory changes as a result of the 2024 election outcomes.

Description: In this session, we will do a deep dive into the potential of large language models; we will explore how new AI tools can be combined with traditional modeling to automate aspects of risk assessment. Industry experts focused on operationalizing this technology will talk through their approaches, lessons learned and demo use cases. We will also share insights around creating a robust AI strategy based on business objectives and regulatory considerations. Learning Outcomes: • Applications of large language models in risk assessment use cases • Regulatory considerations around the use of generative AI

Description: How are regulation and innovation intertwined? How to regulate artificial intelligence/machine learning in the insurance industry? We will cover how regulators are striking the balance between protection of their constituents and supporting innovation. We will zoom into the case of predictive analytics and the regulatory attempt at avoiding undue discrimination. Let's discuss what this really mean.

Description: In this session, we will delve into the application of survey data analytics to extract valuable insights from public survey datasets. The discussion will start with the basics of survey design, sampling practices, and estimation of key statistics. Three case studies will be presented: one in the realm of population health and another in medical economics, both demonstrating the use of either SAS or R to perform the survey analytics.

Description: This session will provide insights into current industry allocations to asset classes with a focus on emerging and growing allocations to complex assets. Additionally, participants will gain an understanding of the risks associated with complex assets and the associated regulatory discussions.

Description: In this session, we will examine AM Best's credit rating methodology, the evaluation of Enterprise Risk Management (ERM) Programs for insurers, and how ERM evaluations are incorporated into ratings. AM Best staff will present the results of a study of AM Best-rated health insurers' ERM programs.

Description: "Informal caregiving is far more costly than many people realize. And not just in the immediate future. Current demographic trends suggest that caregiving will become even more necessary and costly as the Baby Boomers continue to age and require more support and services. In 2022, the SOA engaged Milliman, Inc. to conduct an analysis of the need for informal caregiving and its impacts on employees, employers, and other stakeholders. The purpose of this research was to educate stakeholders, policymakers, and other interested parties on the realm of informal caregiving, as well as how the challenges associated with providing informal care of all kinds might be addressed. Discover key findings and themes from the research project, as well as stories highlighting the various forms this role can take, and solutions currently being developed around the country. An open discussion on ways our profession can impact this growing need with the work we do every day in our respective roles will also be included."

Description: Analyze the market volatility behavior in context with historical extreme events during this webcast. There will be a focus on understanding volatility clustering and relationships, both contemporary and temporal, in addition to key economic and capital market variables. You'll also learn from a comprehensive attribution analysis, which uses economic data, asset data, retail investor data and event data as explanatory variables. Dive into investment-related Reddit comments used to capture features of retail investors and tree-based models, including Random Forests and Gradient Boosting Machines to justify changes in volatility modeling. Expect this webcast to end with an example of liability-driven investment optimization that illustrates the potential impact of increased volatility assumption, how to adopt stochastic volatility models, how to reflect volatility clustering and return jumps.

Description: "Advancing health equity is one of the five strategic objectives outlined in the CMS Innovation Center's strategic objectives for the next ten years and is an increasing area of focus across many states. Focus in on recent developments in addressing Medicaid beneficiary needs related to social determinants of health (SDOH), health-related social needs (HRSN), and health disparities and inequities in Medicaid. Several states have introduced non-traditional benefits into their programs in recent years to address these areas, such as various types of housing supports, nutrition-related benefits, and enhanced/advanced case management support. Expect a discussion on the benefits introduced recently in states such as AZ, CA, MA, NC, and OR, including funding considerations around these benefits as well as the 1115 demonstration waiver authorities granted to these states to allow coverage for these non-traditional health care services.

Description: "Examine the exciting possibilities for artificial intelligence (AI) in health care and its potential to transform the patient journey. You will learn about the various touchpoints where AI is being applied along the patient/care journey, including provider search tools, claims analysis, and fraud detection. By attending the session, you will be able to: Have a comprehensive understanding of the opportunities and challenges presented by AI in health care Evaluate the potential impact of AI on their own organizations Be equipped with strategies for effectively implementing AI solutions and maximizing their benefits for patients, providers, and payers"