Description: This is the first in a series of calls for essays on the impact of AI on mortality and longevity. For this call for essays, we are interested in the impact of AI on mortality and longevity modeling, forecasting and prediction.

Description: Leveraging advanced technologies like Generative AI is essential for insurers looking to compete and drive business growth. In this high-level webcast, we discuss the transformative potential of Generative AI in actuarial work and how it empowers actuaries to become more efficient and effective.

Description: Explore cutting-edge advancements in virtual care, including remote patient monitoring and care delivery in the metaverse, which build on the foundation that pandemic-era telehealth built. Gain a deep understanding of how these innovations are set to shape the future of telehealth and healthcare more broadly. By attending the session, you will be equipped with a roadmap of the key trends and opportunities in virtual care, and be able to identify potential challenges and solutions for their own organizations in leveraging these new tools.

Description: At the end of December 2020, Congress enacted the Consolidated Appropriates Act, 2021, which included revisions to Section 7702. Effective for policies issued after December 31, 2020, the fixed 4% and 6% minimum annual effective rates under these tests were changed to refer to a market-based rate called the “insurance interest rate”. For contracts issued in 2021, the insurance rate was set to 2% - defined as the lower of the Section 7702 applicable federal interest rate based on the 60-month period ending December 2019 (2%) and the Section 7702 valuation interest rate in effect for 2020 (3.5%). This reduction in the rates used for compliance testing required significant product, operational, and technology changes for companies to reach product compliance. After 2021, the insurance interest rate is redetermined annually with a minimum change floor.

Description: This call for essays explores the impact of Artificial Intelligence/Large Language Models on retirement professionals and retirees. Review background information, research objectives submission guidelines, and the timeline.

Description: This document is a call for essays issued by the Society of Actuaries Research Institute. It seeks submissions that explore the impact of Artificial Intelligence/Large Language Models on retirement professionals and retirees. The document provides background information, research objectives, and a list of illustrative topics and questions that the essays can address. The submission guidelines, timeline, and evaluation criteria are also outlined.

Description: As AI becomes more pervasive, we must consider the potential repercussions and risks associated with its widespread use. The SOA seeks essays that delve into the multifaceted risks posed by (AI) over both the short and long term.

Description: This document is a call for essays issued by the Society of Actuaries Research Institute. It seeks submissions that explore the impact of Artificial Intelligence/Large Language Models on retirement professionals and retirees. The document provides background information, research objectives, and a list of illustrative topics and questions that the essays can address. The submission guidelines, timeline, and evaluation criteria are also outlined.

Description: Come discuss modeling costs and its governance, as well as introduce some platforms for more granular asset modeling.

Description: The article explores how integrating AI into insurer apps can address critical challenges in healthcare, such as patient no-shows, medication adherence, and cost management. These non-disruptive approaches aim to increase the effectiveness of patient interventions and improve medication adherence.