Description: This study would assess the impact of recent patient care innovation(s) on health care and the health insurance industry.

Description: As the speed of technological innovation increases, actuarial leaders are trying to determine how to use emerging technologies to unlock more business value and improve competitive positioning. This includes enabling new capabilities, improving process efficiency, and increasing the effectiveness of human capital. The session will discuss what we are hearing from clients who are in the process of transforming their business, how they are approaching these transformations, and what they are focusing on. This will include different aspects of transformation, including visualization dashboards, data science applications, no-code platforms, automation, data, and the cloud. Find out how organizations are thinking of human capital and collaboration between actuaries, IT, and other professionals.

Description: Research demonstrates that agile companies have outperformed others in adapting to COVID-19. This presentation will establish the need for organizational agility to keep pace with industry changes and share research and tools related to psychological safety to help create behaviors that lead to organization agility. Hear the importance of company purpose to motivate, engage and empower a workforce and discuss execution structures that can be put in place to create effective test and learn innovation teams that are creative, efficient and results-oriented.

Description: In this session, we will explore the opportunities and challenges of leveraging AI tools to support valuation actuaries in their work. We will begin by introducing the concept of large language models (LLMs), discussing their capabilities, limitations, and potential errors. We will then delve into case studies that demonstrate how LLMs can be effectively utilized to reference actuarial documents.

Description: We will share the latest research from the Actuarial Innovation and Technology (AIT) Strategic Research Program, with a focus on research relevant to health actuaries. Attendees will learn about leading-edge technology that has impacts on actuarial functions, both broad and specific innovations and breakthrough technology, and the resulting impacts.

Description: We're introducing a new “cutting edge” wealth accumulation predictive framework, the predictive equity analytics (PEA) for life products (annuity, insurance, group employer benefits, retirement plan). PEA enables life insurers and policyholders to avoid market downturns and capture returns from equities (stocks, ETFs and mutual funds) predicted to increase in next one to three trade days via fund prediction advisory by insurers, additionally by individual policyholders. The capability does not exist in insurance markets nor in financial intermediary markets.

Description: Biases can creep up in models in numerous ways. After discussing various forms of bias, presenting a framework useful to manage bias in models, and contextualizing this effort in the current environment, this session will focus on practical issues faced by the industry.

Description: As VM-22 becomes the new standard for statutory valuation of non-variable annuities, insurers must navigate a range of implementation challenges and strategic considerations. This session will provide attendees with a comprehensive roadmap for preparing for VM-22, addressing critical questions that will shape a successful transition: What are the key considerations when deciding between early adoption and waiting until the end of the transition period? How will reserve levels shift under the new framework, and what strategies can help mitigate financial volatility? What models, tools, and analyses are needed not only to comply but also to interpret results, manage risks, and help leadership gain confidence in the results?

Description: Virtual - Session 5A: Leveraging Gamification and Personalized Wellness to Grow the Business

Description: Session 2F: Artificial Intelligence and Actuarial Modeling - Ask an Expert!