Description: Come discuss modeling costs and its governance, as well as introduce some platforms for more granular asset modeling.

Description: The world of climate risk disclosures has seen dizzying levels of change in the last few years. In 2023, many regulators have publicly issued guidance on what insurance companies and other FIs should look to disclose. So what are we seeing in these disclosures and how do we use this information? Join our panel of experts to learn about the evolution of U.S. life insurance industry's climate disclosures and how insurers of all sizes and complexities are responding to NAIC's requirements.

Description: This report focuses on the risks of change in the insurance industry and adapting to the "New" New Normal. It includes survey results, analysis, and discussions on various risks affecting the industry in the current environment.

Description: Gather with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, pension, investment, product strategy, and more.

Description: Discuss how the reinsurance can be utilized to manage the risk profile of the company. Potentially we can use a case or two to demonstrate the usage of reinsurance.

Description: An attorney and a statistician will discuss the latest on GenAI, the AI regulation and litigation affecting the use of AI in insurance. Some of the topics that will be covered include: How generative AI works, Risks of generative AI systems, Use cases for AI, Regulatory trends, Litigation trends

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: Assumptions have been a critical component of actuarial work since the rise of the profession hundreds of years ago. Without well-developed, credible assumptions, reliable financial projections are an impossibility. Yet in 2023, there is still a wide range of assumption processes and governance practices in place throughout the life industry. Follow assumption and governance experts from Oliver Wyman to dig deep into results from our 2023 assumption process and governance survey. Examine what we're seeing currently practiced throughout the industry and offer insights into what we're doing well, as well as where we have opportunities to improve. Explore topics, such as assumption governance frameworks, governance costs, development and review, approval processes, implementation and usage, monitoring, and challenges.Gain a better understanding of how your own assumption processes compare against others in the industry, and learn best practices that can be implemented to improve assumption processes.

Description: Internal modernization initiatives and external changes of the financial reporting regulations (e.g., LDTI, IFRS 17) increase the amount of validation activities for actuarial models. In addition, the use of predictive analytics in actuarial modeling requires a different set of validation skillsets/techniques in model validation. These internal and external forces call for a structured, streamlined and robust model validation practice.