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: 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: Understanding Asian Capital Regimes

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: This session will discuss: • What is social insurance and advantages of financing LTSS that way • Design decision points for an LTSS program • Existing examples of programs in the US and Abroad • Challenges and differences in pricing state-based LTSS financial reform.

Description: This interactive webcast uses case studies and a new framework to show how retirement plans and practices can be fitted to best serve organizations’ missions and objectives, guided by data and analytics measuring their workforce impact.

Description: Join us for an engaging session packed with practical tips and interactive discussions to help you unlock the true potential of the investment in being LDTI ready and unleash its full potential.

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: 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.