Description: How are regulation and innovation intertwined? How to regulate artificial intelligence/machine learning in the insurance industry? We will cover how regulators are striking the balance between protection of their constituents and supporting innovation. We will zoom into the case of predictive analytics and the regulatory attempt at avoiding undue discrimination. Let's discuss what this really mean.

Description: 2024 is the 50th anniversary of ERISA and enough time has passed since the enactment of Secure 2.0. The U.S. Retirement system is mostly defined contribution. Gaps remain in U.S. Retirement Security and there are very different perspectives on how the system is doing. What is going well and what is not? Have plan sponsors capitalized on the opportunities in Secure 2.0?

Description: This session will provide insights into current industry allocations to asset classes with a focus on emerging and growing allocations to complex assets. Additionally, participants will gain an understanding of the risks associated with complex assets and the associated regulatory discussions.

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: "This video features Jing Lang, FSA, FCIA, MAAA , FLMI. Jing is an AI expert and Actuary with over 15 years working in the Insurance Industry. Here he provides an insightful overview of Artificial Intelligence (AI) and its various manifestations, from generative AI generating divers content to everyday applications like smart speakers and self-driving cars. It distinguishes between Artificial General Intelligence (AGI), which can perform tasks akin to humans, and Artificial Narrow Intelligence (ANI), which focuses on specific tasks.The narrative delves into key AI subfields like Machine Learning (ML), Deep Learning (DL), and Generative AI (GenAI), explaining their functionalities and differences.

Description: Actuarial modernization is defined as a significant step change in an organization's productivity resulting from improvements to the operating model (people, processes, and technology). As an integral part of insurance companies, actuarial departments play a crucial role in the ongoing change of the industry. This webcast will define this transformation, including who is involved, and provide examples on how it is being implemented.

Description: Join our panel as we explore key trends in private credit and its growing role in investment portfolios. We'll discuss the benefits of private credit, including potential yield enhancements and diversification relative to public bonds, as well as its applications for P&C insurance, life insurance, and pension plans. We'll also examine different types of private credit, such as real estate debt, direct lending, mezzanine debt and specialty credit, looking at both US and Canadian markets.

Description: Join us for an insightful webcast as we delve into the far-reaching implications of the recent Supreme Court decision to overturn Chevron deference. This landmark ruling, which previously granted federal agencies significant leeway in interpreting ambiguous statutes, is set to reshape the landscape of healthcare policy.

Description: Recording for Unmasking Mystery of Actuarial Innovation – Loyalty Analytics and CI Product Transformation

Description: Over the past three years, we have seen technology take hold of consumerism, becoming the key operational component to remaining competitive in an increasingly digital marketplace. In the insurance sector, today's consumers want digital, personalized solutions for all of their needs, and they are willing to offer up personal information in exchange for more personalized coverage that is based on their behaviors and lifestyle choices. If insurers want their products to be recognized as an essential in the virtual 'wallet' of Millennial consumers, they must re-assess their digital service strategy with an emphasis on customer service and rewarding the consumer. Participate in this session to explore consumer trends in the life insurance industry. You can also join the discussion about the key facets of a successful digital solution, based on the digital service strategies of current market makers who have capitalized on the boom of custom apps, social media sites and other digital distribution channels to market their products to Millennials.