Description: Financial planning and analysis (FP&A) has become increasingly important to the life insurance industry in recent years. Insurance companies must navigate complex changes in financial reporting and capital requirements to manage risk effectively. Furthermore, technological growth has changed the landscape of the theoretical capabilities of FP&A; however, many FP&A areas struggle to implement the sophisticated modeling techniques required to manage the long-term liabilities associated with life and annuity products.

Description: This session will cover the current and potential use of artificial intelligence (AI) in the health care space. Participate in this interactive session and learn how AI is being used today and discuss its potential to reshape and revolutionize health care. You will get an opportunity to learn how AI can influence patient experience in every phase of healthcare delivery and talk about the challenges and limitations that arise with the use of this technology.

Description: In this session, we will do a deep dive into the potential of large language models; we will explore how new AI tools can be combined with traditional modeling to automate aspects of risk assessment. Industry experts focused on operationalizing this technology will talk through their approaches, lessons learned and demo use cases. We will also share insights around creating a robust AI strategy based on business objectives and regulatory considerations. Learning Outcomes: • Applications of large language models in risk assessment use cases • Regulatory considerations around the use of generative AI

Description: A disscussion of actuar R, an R package for actuarial science, and its facilities in the fields of loss distribution modeling, risk theory and credibility theory.

Description: This article discusses the publication of the “Encyclopedia of Quantitative Risk Assessment”

Description: James Dunseth's MBA journey at Yale’s School of Management and his startup internship taught him invaluable entrepreneurial lessons. Key takeaways include the importance of customer feedback, flexibility, technical skills, effective metrics, and achieving product-market fit. These insights emphasize customer-centric approaches, agile methodologies, technical understanding, and strategic metric use to guide business decisions and foster innovation.

Description: Over the last two years, we experimented with online peer assessment platforms in undergraduate courses and saw them deliver major learning advantages and be highly popular with students. We explain why peer assessment shows great promise for actuarial science education and the main factors to consider when designing peer assessment activities. We also detail our use of online platforms in two undergraduate courses. By sharing our experience, we hope to provide you, our fellow educators, with a solid starting point for experimenting with this format.