Description: With the growing threat of cyber incidents, organizations and governments are rightfully concerned. In recent years, cyber incidents have caused significant losses to entities and insurers across the world. Therefore, there is a need to understand and provide greater context around the topic of catastrophic cyber risk, which has implications for insurance companies, reinsurers, regulators, consumers, and society. Taking a multi-disciplinary, holistic approach, an expert panel study was conducted on catastrophic cyber risk in this four-part series of discussions and subsequent reports.

Description: As the healthcare industry becomes increasingly complex, actuaries are under pressure to analyze vast amounts of data and make informed decisions quickly. Artificial intelligence (AI) technologies like ChatGPT offer a promising solution, providing powerful tools for data analysis and natural language processing. Come explore the use of ChatGPT in actuarial analysis, focusing on healthcare applications. Begin with an introduction to ChatGPT and how it works, including its ability to understand and generate natural language responses. Then expect a discussion on the potential benefits of using ChatGPT in healthcare actuarial analysis, including improved accuracy, efficiency, and scalability. Through case studies and examples, we will demonstrate how ChatGPT can be used to analyze complex healthcare data sets, including electronic health records (EHRs), claims data, and patient surveys. We will also discuss how ChatGPT can be integrated with other AI tools, such as predictive modeling and machine learning, to enhance actuarial analysis. Finally, learn about some of the potential challenges and limitations of using ChatGPT in actuarial analysis, such as data privacy concerns and the need for human oversight. There will also be guidance on best practices for using ChatGPT in a healthcare actuarial context, including data preparation, model training, and interpretability.

Description: This session will examine bias from a social science perspective. It will discuss the three types of systemic biases using the National Institute of Standards and Technology (NIST) model. The NIST model details the three types as historical bias, societal bias, and institutionalbias. The session will also provide several examples of each type to provide a framework for identifying the social structure of bias.

Description: Explore an introduction to Insurtech and a sampling of a few FSAs who have pivoted into Insurtech. You'll hear about their career journeys, how their traditional actuarial backgrounds prepared them for success in Insurtech roles, and about the Insurtech work they're currently doing in life insurance, health insurance, and property & casualty insurance.

Description: This report captures expert insights from a March 2025 roundtable on how generative AI is shaping actuarial work and insurance industry practices.

Description: Discover a modernization journey within finance, actuarial investment and risk domains. Expect to learn about the world we are striving for - an event-based, self-service, automated environment that centers around a cloud-based data lake with proper data quality and governance and provides visual, on-demand solutions for reporting and analysis. We will educate the audience on the technology used to obtain this vision and the approach (including our team structures and project management ideologies) we have taken thus far to start moving there.

Description: The InsurTech industry continues vibrant activity. Some areas of focus include transformation of the underwriting process, new data sources being used, focus on the consumer, automation and more. By the end of the session, attendees will understand some of the latest trends in InsurTech that are impacting the life insurance industry.

Description: The presenters focus on traditional and non-traditional techniques for setting IBNR and assume some experience on the topic. Take in a brief overview of the basic development of IBNRs for financial reporting. Then explore general considerations and various methods used to estimate claim costs, plus understand variability in IBNR projections as well as challenges that arise in certain situations. There will be opportunities for the audience to share ideas and considerations based on past experiences.

Description: After International Accounting Standards Board (“IASB”) issued International Financial Reporting Standard No. 17 – Insurance Contracts (“IFRS 17”), IASB received much feedback and suggestions for improvement. As a result, in early 2019, IASB made limited changes to IFRS 17. The presentation will briefly discuss the main contents and effects of those changes.

Description: Companies with the intention of being the top, trusted source(s) in an information overloaded world.