Description: Our panel of experts will explore 'Blue Zone' communities, the common denominators slowing the aging process and the potential impacts these initiatives could have on disability and long-term care insurance.

Description: When actuaries and consultants evaluate various pharmaceuticals for inclusion in an employer’s benefits offering, it can be commonplace to look at the advertised list price, or WAC (wholesale acquisition cost), between products and use that as a primary driver in the evaluation process.

Description: The true cost of a drug and its therapeutic outcome is impacted by a myriad of factors. This session will utilize case studies in high-cost, chronic diseases to illustrate to participants what factors can be critical to evaluating the true cost of a pharmaceutical intervention. Differing from session one, session two will focus on site of care, buy-and-bill aspects, and the differences between a medical and pharmacy benefit and how these factors ultimately impact the total cost of patient care.

Description: Presenters will explore specific actuarial use cases, showcasing custom-built demonstrations and discussing a wider range of applications.

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: Since most cash flows being discounted in the value calculation are dependent on the forward rates, in the key-rate calculation forwards (not spots) should be shifted. I will show that if spots are shifted up/down, they would not necessarily result in forwards being up/down for all the years in the particular key rate, resulting in unexpected results. I will further show how metrics calculated by shifting forwards versus spots enhance the accuracy of the approximation of projected value in various rate environments.

Description: State of the Industry

Description: Convergence of Asset Management and Insurance

Description: Questionnaire section