Description: Convergence of Asset Management and Insurance

Description: Generative artificial intelligence (AI) tools like ChatGPT will redefine the nature of work across industries in coming years, What does this mean for the actuarial profession? Delivering generative AI tools to actuaries capable of leveraging them effectively will dramatically modernize how actuaries work and contribute to organizational growth. In this educational session, explore how generative AI can accelerate actuarial model development. Gain an introduction to generative AI and its implications for actuarial modeling. Learn how it specifically helps actuaries improve accuracy, reduce errors and save time in model development. Then explore use cases, including how generative AI can improve data cleaning, model building, as well as simulate scenarios and test model robustness. Close with a discussion on how to integrate generative AI into actuarial modeling workflows effectively, including common challenges actuaries may face during implementation and tips to overcome them. You will come away with a deeper understanding of how generative AI can accelerate actuarial model development.

Description: Focus on the importance of achieving complete and accurate technical reviews of work products that contribute to decision making. As actuaries, we often face tight deadlines and the demand is high for our team members to provide results in a timely manner. Through investing upfront time into a quality review of our work product, with an added focus on professional excellence and ethics, overall time savings can be gained and an overall higher quality work product can be achieved, not only of the technical work being performed, but of the decision making that is influenced by the result of the work. At the conclusion of this session, you will be able to understand the value of technical reviews and the methods of preparing for and implementing technical reviews across a team.

Description: There are many underwriting issues being discussed in states that challenge how information is used in the underwriting process. Learn more about a variety of rules and regulations, including Colorado's proposed regulation requiring a governance and risk management framework for life insurance carriers' use of external consumer data and information sources, as well as algorithms and predictive models using such data. Recent proposals are more far-reaching than existing requirements in states that have put up guardrails for the use of new data sets and algorithms, especially for underwriting. Listen in as experts discuss the potential issues and implications of this and other proposed regulations.

Description: Guarenteed Minimum Benefits of type x (GMxB) riders under ASU 2018-12, the Long Duration Targeted Improvements (LDTI) guidance, are now classified as Market Risk Benefits (MRBs). There are several acceptable approaches for calculating the MRB balance on a block of GMxBs. Depending on the product provisions, certain approaches may be more desirable than others. IThis session will give you the opportunity to examine different strategies for calculating the MRB liability for GMxB riders under LDTI.By the end of the session, you will understand the pros and cons of the several approaches permitted for calculating the MRB balance on a block of GMxBs.

Description: Discuss how to treat experience that is impacted by COVID-19 (e.g., 2020+) as well as expected experience moving forward in terms of excess deaths related to COVID and non-COVID topics. The session will also cover how the COVID period has impacted lapse/surrender behavior and the trends that we can expect going forward. Learn about various techniques of adjusting experience for the impact of COVID and the considerations in using such experience and setting a best-estimate assumption going forward. For mortality, the discussion will include both base mortality as well as future mortality improvement and the intersection of both of these.

Description: Speakers provide insights for adjusting historical and future mortality for COVID-19. Recent Society of Actuaries research examining historical U.S. population mortality by socioeconomic category and methodologies for removing the impact of COVID-19 from mortality rates will be presented. Additionally, results from an expert opinion survey on COVID-19 and future mortality will be discussed. Thoughts on how companies are utilizing external and internal sources to modify mortality assumptions/models for COVID-19 will be shared.

Description: Discuss population mortality improvement trends in the U.S. This will include analysis of cause of death data and trends in mortality pre-pandemic and during the pandemic. We will also discuss ways to think about translating population mortality improvement to an insured population.Learning outcomes includea better understanding of the drivers of recent mortality improvement and insights on how to create a company view on mortality improvement.

Description: Actuaries today have unique opportunities to analyze, understand and use data for strategic decision making. With nearly unlimited computing power and a broad spectrum of data sources at our fingertips, we are enabled to support our actuarial judgment with comprehensive findings backed up by deep data analyses.

Description: Learn more about recent updates to the Bermuda Market and how this may impact current and future market players. This session will cover the Bermuda reserving and capital requirements and how the recent Bermuda Consultation Paper may impact the industry. At the end of the session, you will have a better understanding of the status of the proposed changes, the implications and general observation of the industry reactions.