Description: Understanding how to effectively adopt AI is critical to staying competitive. This session will guide you through the five stages of AI adoption, with a deep dive into two key stages: Operational Optimization and Collaborative AI Integration. You will learn how to harness AI to streamline operations and boost efficiency, while also exploring the nuances of integrating AI in decision-making to enhance outcomes through human-AI collaboration.If you are seeking practical insights on maximizing AI's benefits while maintaining human oversight, this session will provide the tools and strategies to help you do just that—ensuring that your AI adoption journey is both effective and aligned with your business goals.

Description: A comprehensive webcast designed to bring together industry practitioners to discuss the current state of Model Risk Management (MRM) frameworks. This event will delve into the advancements in MRM, the challenges faced by professionals in the field, and emerging trends such as machine learning model validation that are set to shape the future of MRM. Engage with experts, share knowledge, and explore innovative solutions to enhance the effectiveness of your MRM framework.

Description: Join us in this webinar where we explore the intricate relationship between Professional Employer Organizations (PEOs) and insurance, diving into the art of risk management within this industry. Gain a comprehensive understanding of the diverse insurance products offered by PEOs, the positioning of PEOs in the actuarial landscape, and the strategic navigation of regulatory challenges.

Description: The webcast addresses the four stages of effective leadership, and the three main drivers of effective leadership. It provides several metrics for assessment. Use of these ideas allows any leader in a leader-subordinate situation to raise the level of the subordinate to mastery level. The material in the discussion is based on an article in Stepping Stones (Sep 2023), "Are you an Empowering Leader", by Russell Jay Hendel.

Description: CMS has pioneered innovative strategies for Medicare and Medicaid to address Social Determinants of Health (SDOH). Employers can learn from these models to implement similar approaches for their employee populations. Learn how employers can understand and address SDOH, the incentives for doing so, and the broader benefits.

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.