Description: Getting people to think beyond retirement about future care needs and how they will be paid for is critical for a healthy aging plan. However, most people avoid the topic and make rushed decisions when finding long-term care services. Hear from experts in this advisory field explain what a successful plan looks like and what it takes to get people to plan ahead.

Description: Navigate a perspective on the process of developing estimates and projections of mortality rates, based on a Living to 100 paper by the teacher. Discover the approach and considerations an actuary (or others) can take to develop a mortality rate assumption for five time periods. It will describe techniques to estimate historical mortality rates from which to project future mortality rates.

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 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: 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: 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: "Issues surrounding end-of-life and palliative care are not well understood and there is little research in the actuarial literature. From an actuarial perspective, however, end-of-life is important because of the significant cost to the healthcare system. Ian Duncan will discuss some of his research on the financial implications of end-of-life care, as well as the outcomes of a palliative care program. Dr. Matzo is an engaging personality with decades of experience in gerontology and palliative nursing, including training and teaching professionals in the field. Dr. Matzo focuses on educating the public on the importance and benefits of palliative care and hospice (care given in the final six months of life). In this session on “Palliative Care Public Education,” Dr. Matzo will give us an overview of the benefits of palliative care and how this knowledge empowers the individual to make important decisions about their healthcare options. Attendees will have the opportunity to discuss the role that the actuarial profession may play in this area."

Description: "Weighted compositional data analysis for modeling and forecasting life-table death counts – Han Lin Shang, Ph.D., Professor of Business Analytics and Director of Research at the Department of Actuarial Studies and Business Analytics at Macquarie Business School, Macquarie University, Sydney, Australia, Steven Haberman, PhD, Bayes Business School, City University of London, UK Compensation Effect of Mortality as a Challenge to Life Extension – Natalia S. Gavrilova, Ph.D., Leonid A. Gavrilov, Ph.D. Academic Research Centers, NORC at the University of Chicago"

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: In this presentation, actuaries and data scientists from Cleveland Clinic and Milliman discuss the development of a sepsis prediction model using machine learning. Presented with a unique challenge of handling massive amounts of data for near real-time risk scoring, the team took their model development to the cloud and delivered a product in less than a week through a unique virtual engagement.