Description: This session will explore the considerations and best practices for developing AI tools that are useful, safe, and transparent for actuarial work. While large language models (LLMs) offer exciting possibilities, it is crucial to understand when and how to use them effectively. The session will cover key concepts of LLMs and case studies on developing AI tools for retrieval-augmented generation and summary creation of actuarial documents. Attendees will learn about the importance of designing workflows that nudge users towards safe and effective processes. By the end of the session, participants will gain insights into the responsible use of LLMs in actuarial practice and learn how to leverage their potential to support professional growth.

Description: Join us as we delve into the dynamic landscape of the Fixed Indexed Annuity industry. Presenters will discuss trends observed in recent FIA experience, observations from their own company's data, and findings from Milliman's FIA industry experience studies. Key results include a view of surrender behavior relative to market dynamics and comparisons with industry predictive models, serving as a benchmark to explore where industry experience aligns with expectations and where potential surprises have emerged. Through a combination of data-driven analysis and expert interpretation, attendees will gain valuable perspectives on the evolving FIA landscape, enabling them to make informed decisions to navigate future challenges.

Description: This session reviews the importance of using benchmarks in healthcare utilization management to improve organizational and patient outcomes and increase efficiency. It highlights how benchmarks can inform decisions about utilization management strategies and benefit members, payers, and providers. The presentation includes best practices, successful examples, and solutions to challenges, focusing on claim utilization, risk adjustment efficiency, quality metrics, and overall performance. Additionally, insights into the future of benchmarks and the value of analyzing the entire distribution of data for deeper insights will be shared.

Description: Delve into the nexus of actuarial science in the heart of D.C. This session offers an in-depth look at the sophisticated mechanics behind additional health insurance reserves, framed by the unique regulatory landscape of national policy. As we explore premium deficiency reserves and additional reserve requirements, attendees will understand how regulatory oversight and frameworks influence these critical actuarial items. Through engaging discussions and case studies, we'll uncover the strategic intersections between actuarial decisions and policy implications, offering insights into effectively navigating the complexities of governance and regulation as they relate to additional health insurance reserve. Join us for a compelling journey through the art and science of actuarial work in the political arena.

Description: The session will address the potential benefits of (re)opening corporate defined benefit plans for plans for plan sponsors and participants alike. Despite a shift from DB to DC trend over the last 20 years, this topic is particularly relevant as many US plan sponsors are enjoying overfunded DB plan funded status, struggling with retirement income solutions in DC plans, and navigating workforce management and recruiting considerations. This session will discuss how innovative plan designs, such as market-return cash balance plans and variable-annuity plans, reduce plan sponsor risks associated with traditional DB designs. We will also discuss investment, balance sheet, retirement readiness, and implementation considerations.

Description: In this session, we will discuss best practices in ALM and Strategic Asset Allocation (SAA) modeling approaches to account for the complex relationships between insurance liabilities and the portfolios backing them. We will highlight how robust modeling techniques not only result in optimal asset decisions from a long-term value perspective but can also result in better capital efficiency. At the conclusion of this session, attendees will be able to identify the key aspects of a successful ALM and SAA framework for liabilities subject to PBR.

Description: In this session, we will review how the previous and current concerns of pharmacy actuaries will affect the forecasting and review of upcoming pipeline events. After this session, attendees will have a broader understanding of the implications of what is coming next in the pharmacy pipeline and how they can be thinking about it.

Description: As health insurance self-funding becomes more popular among smaller group sizes, risk is evolving for the MGUs, stop loss writers, and reinsurers that cover them. Assessing more small groups at lower attachment points means rethinking traditional stop loss underwriting techniques.

Description: Elatia Abate, the founder of the Future of Now and Futurist in Residence at Paylocity, is an entrepreneur whose mission is to revolutionize the way trailblazing leaders understand, train and fuel their leadership. Named a Forbes leading female futurist, she is a globally recognized expert on the future of work and strategy. Her Future-Led Leadership™ learning and development content has been utilized in organizations including PwC, Verizon, and CME Group. Elatia is a sought-after keynote speaker on the topics of the future of work, leadership, and resilience. She is an instructor for LinkedIn Learning, at Stanford University in the Continuing Studies Department, and the Executive Education Department of The University of Chicago’s Booth School of Business.

Description: Every year an AI topic goes through a hype cycle. Since 2022 and now in 2023 we continue to hear more about the ChatGPT models and how an everyday person is able to interact with AI. As more startups and applications are riding the hype, what does it all mean for our industry? Is this just a buzz or real? This talk intends to cover at a high level what are large language models, what does it mean for audit or regulatory space, and what might be some pitfalls or tolerance of error when it comes to selecting a right application for such models in insurance use cases.