Description: The Inflation Reduction Act represents the largest change to the Medicare Part D program since its inception in 2006. With a complete redesign of the Part D program coming in 2025 (the next bid cycle), there are health plan, operational and analytical challenges that lie ahead. In this session, you will: Hear highlights on some of the key changes occurring in 2025 Learn about key considerations for health plans and other stakeholders in the Medicare and commercial markets Discover potential winning strategies and potential analyses that could inform those strategies

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: In this session, attendees will understand the role of AI in risk management and underwriting. You will see insightful case studies highlighting AI-driven techniques for enhancing precision and efficiency in these areas. Additionally, the session will cover advanced AI applications in claim management and fraud detection, showcasing cutting-edge strategies to mitigate risks and streamline operations.

Description: The rising interest rate environment has presented more attractive alternatives for VA risk management, but the benefits of different strategies can vary significantly by block of business. This session will highlight key drivers for risk management decisions for variable, fixed index, and registered index-linked annuities. With the viewpoints from different direct writers, reinsurers and preliminary findings of the 2024 Milliman Derivatives Study, the session will then show how product mix, tenure, and regulatory regime influence strategic decision-making. At the end of the session, the audience will help make strategic decisions on sample blocks of business and see how their choices play out in different hypothetical scenarios.

Description: Keynote Speaker: J.D. Kleinke, Author and Medical Economist J.D. Kleinke has been instrumental in the creation of four health care information organizations; has served on the Boards of several health care companies; and spent many years advising both sides of the political aisle on non-partisan, practical approaches to health policy and legislation.

Description: Session 4B: Impact of GLP-1 Drugs on Health Care Cost Trend and Clinical Outcomes

Description: Explore the use of conjoint analysis to understand what employees say they want and/or need in a retirement plan in newly released research material sponsored by the SOA’s Retirement Section. Retirement plans of the past were defined as a benefit or a defined contribution in nature with their attendant features. As today’s hybrid plan designs consider features of the two historical archetypes, this research methodology identifies which features of a retirement program are most important to employees. This research, coming from the SOA’s Aging and Retirement Strategic Research program, includes a tool for testing preferences for different combinations of features by different demographic groups (age, income, gender, race/ethnicity, etc.) By attending the webcast, you will be able to understand: What conjoint analysis is and how it works. Which features of retirement programs are most important to employees. How to use a tool to compare the importance of features for different demographic groups. How to use a tool to compare the level of acceptance of different retirement packages for various demographic groups. Come look at alternative plan designs (either inside or outside of what is possible today) to better understand how employees in different situations are likely to respond to the design combinations.

Description: "Can you answer the question 'what are the chances we will lose more than $1 million next year?' without saying 'it depends'? If you miss a projection, can you quantify the chances that the miss was due to random variation vs. an incorrect projection? ten in as presenters demonstrate how to answer these questions and others using total risk analysis. Total risk analysis includes quantifying both the random variation risk and the projection risk associated with actuarial functions like pricing and reserving. After attending this session, you will be able to describe total risk analysis, apply total risk analysis to many actuarial functions."

Description: ReMark's Global Consumer Study delivers 10 key insights to empower customers. Insurers can design products that meet customers' needs and enhance client experiences and add significant value to their business. At the same time with new products being launched seemingly continuously, it is important to take a step back and assess risk throughout the product management cycle.

Description: Long-term care insurance (LTCI) covers the cost of long-term care services and supports, which can include skilled nursing, assisted living facility, and home-based care. LTCI may be used both to cover care costs and protect beneficiaries’ assets. The rapidly increasing number of older people in the United States will greatly increase the need for long-term care. As the landscape of long-term care continues to evolve, recent trends indicate a significant shift towards product design innovation, inforce management strategies, and policyholder engagement. This session will address several facets of the current state of LTCI as well as potential future evolutions of the product.