Description: This article discusses a new procedure for correcting inadvertent failures to satisfy the diversification requirements applicable to variable annuity and life insurance contracts under section 817h of the Internal Revenue Code.

Description: Presented at Living to 100 and Beyond symposium 2002. Discussion on 'Living to Age 100 in Canada in 2000' by Doray and 'Oldest-Old Mortality Rates and the Gompertz Law: A Theoretical and Empirical Study Based on Four Countries' by Yue papers.

Description: This article provides a review of the topics discussed at Refocus 2008.

Description: This report explores AI bias in insurance and health data, highlighting the ethical role of actuaries and offering cross-disciplinary guidance for fairer decision-making systems.

Description: 2014 marked a new beginning for small group(SG) health insurance market ushered in with adjusted community rated products priced from a single risk pool. It was anticipated that the mandated pooling of the risk would result in higher rates, especially for healthier groups. It is the aim of this article to show whether that view bears out in the actual market rates and if it is higher, then by how much. The article provides a point in time(1st quarter 2025) comparison of premium rates under two segments of the small group market, namely Qualified Health Plans(QHP) available under the small group ACA market versus self-insured Multiple Employer Welfare Arrangements(MEWA) plans.

Description: This article enumerates many important considerations for a managing general underwriter(MGU) desiring to contract with an insurance carrier to issue and service provider excess of loss policies covering catastrophic medical risks assumed by accountable care organizations (ACOs).

Description: This article summarizes statutory reporting and the Pinciple-Based Initiative that the Academy, the industry and the regulators have been working on in the U.S. It addresses whether a principles-based approach will simplify reporting regulations and make them more flexible.

Description: It's your first full day of productive learning! Start it off right with a delicious breakfast and warm welcome.

Description: The use of data to assess risk is not new to the life insurance industry, but has historically been limited to leveraging structured data. Join us as we discuss the next frontier: unstructured data.

Description: The recent wave of innovation in GenAI has unlocked an entirely new category of AI applications. Whereas AI has traditionally focused on automation and predictions, LLM’s and Generative AI give us the opportunity to create AI applications that act as copilots. This emphasis on contelligence and empowering knowledge workers has already begun to change the way work is done. High expertise knowledge workers such as actuaries will be able to use this wave of AI Apps to make better decisions and dedicate more of their attention to the parts of the role that require domain expertise and judgement. Join Charles Morris, Microsoft’s Chief Data Scientist for Financial Services, as he talks about the latest advancements in this space and the opportunities it creates for expert knowledge workers. Charles Morris is the Chief Data Scientist for Financial Services at Microsoft. Charles has deep expertise in the financial services domain and works with many of the world’s leading asset managers, banks, insurance companies, and financial platforms to develop and execute their AI strategies.Currently, Charles is focused on applying Generative AI to financial services and advising many top financial institutions in building their own copilots and reimagining their businesses.Charles is a data scientist and machine learning engineer by profession and an expert in MLOps. Before joining Microsoft, Charles practiced data science, machine learning, and cloud engineering in the asset management industry. He has been a featured keynote speaker at several prestigious events and forums and is a highly sought after public speaker in the domain of AI and Innovation.