Description: As data science continues to expand across industries, actuaries are increasingly called upon to collaborate with data scientists to unlock new insights and enhance decision-making. This webcast explores how actuaries can effectively partner with data science teams by building a shared understanding of key terminology, aligning on project goals, and leveraging complementary skill sets. Attendees will gain practical strategies for fostering clear communication, setting measurable objectives, and ensuring that actuarial expertise and data science methods work hand-in-hand to deliver value.

Description: The innovation landscape in life insurance is increasingly shifting towards providing benefits that extend beyond traditional death benefits. This evolution often manifests in the form of combination products, product bundling, and ancillary benefits. These innovative designs aim to enhance customer value throughout the policyholder's lifetime, addressing a wider array of financial and lifestyle needs while managing costs effectively. This webcast encapsulates research on how U.S. insurers are innovating in the realm of non-life benefit offerings.

Description: This webcast explores the impact of climate change on mortality trends, drawing insight from a recent study that examines the relationship between rising temperatures, extreme weather events, and excess deaths. This webcast will discus the key findings, statistical methods used and the broader implications for insurers, reinsurers, and policymakers. The most recent SOA Emerging Risk Survey in India listed Climate Risk as the top risk, so this topic will be very relevant for the India marketplace.

Description: This webcast will cover the foundation of bias, provide an update on the status of the US regulation on racial bias, and discuss metrics around bias in algorithms.

Description: Session 4B: Impact of GLP-1 Drugs on Health Care Cost Trend and Clinical Outcomes

Description: Session 3G: Enhancing ERM - Practical Applications of ASOP 46 and ASOP 47

Description: Session 6B: Unraveling the Mysteries of Cell & Gene Therapy Eligibility and Demand

Description: Session 5C: The Large Group Market - Navigating Its Evolution: Past, Present, and Future

Description: AI Use Case for Research and Regulations

Description: The post COVID-19 period exhibited a fast-changing capital market with higher interest rates, uncertain monetary policies, and revaluation of asset classes. At the same time, regulators introduced changes to reward better risk management, such as the scenario-based approach for reserving under Bermuda regulatory framework. For life reinsurers, while new opportunities arising from these changes, challenges also exist to be able to adjust reinsurance portfolios and ALM strategies appropriately. A holistic modeling framework can assist companies better position themselves in front of these challenges and other potential future unknowns. In particular, a well-designed stochastic and dynamic modeling framework enables the quantifications of such probabilities and potential impacts.