Description: We explore the question of how an actuary–artificial intelligence collaboration might look in the future and how actuaries should be trained to best leverage this technology. It felt fitting to accomplish this through a conversation with an AI system, as AI involvement is warranted to ground the analysis in the technology’s true capabilities.

Description: Actuary Dave Dillon describes his role volunteering his time as a teacher in higher education, including the rewards and challenges that teaching offers. He discusses the importance of being attentive to his audience’s pre-existing knowledge and adapting his presentations accordingly. His work as a teacher typically encompasses three distinct domains: 1) acquainting young students with the actuarial profession, 2) educating non-actuaries about public policy issues related to health insurance (including the Affordable Care Act), and 3) instructing current actuaries on advanced methodologies and principles within the field. Recently he taught a health insurance course for actuarial science graduate students at Georgia State University and lectured at Boise State University’s master's program in Population & Health Systems Management. In every teaching and mentoring opportunity, actuaries can contribute to the expansion and prosperity of the profession and are encouraged to pursue these endeavors.

Description: The implementation of the IFRS 17 insurance accounting standard has brought significant changes to the financial reporting landscape of insurance companies. With new disclosure requirements and altered profit analysis, understanding and interpreting future profitability have become a topic of concern for the industry. While stability remains a key objective for insurance companies, the earning patterns might become more volatile especially when the contractual service margin (CSM) is exhausted, and a loss component (LC) needs to be established. Reinsurance, a common risk mitigation tool, can play a pivotal role in managing earnings volatility and minimizing losses for onerous measurement units. In this article, we propose a new key performance indicator (KPI) called “loss recoverability” to assess the performance of reinsurance treaties in achieving these objectives. We explain how this KPI can be utilized in multiple scenarios to evaluate the effectiveness of reinsurance strategies and pursue stability in earning patterns.

Description: Actuarial work in the life and health insurance industry is highly data-driven and complex. Actuaries perform a wide range of tasks such as experience studies, valuation, reserving, pricing, and risk modeling, all of which require vast amounts of data and sophisticated analytics. Traditionally, many of these tasks have been carried out using Excel and other legacy tools, but as data volumes grow and the need for more accurate predictions intensifies, actuaries are turning to more robust platforms. Cloud Data & Artificial Intelligence (AI) Platforms, such as t Databricks offer a unified platform that integrates data management, analytics, and machine learning, making it a powerful tool for actuaries. In this article, we’ll explore how Cloud Data & AI platforms can be used as an actuarial workbench, enabling actuaries in the life and health sector to streamline critical tasks like experience studies, valuation, and reserving.

Description: How does mortality experience impact earnings under the new GAAP financial framework? This article discusses how to isolate key components from financial models related to decrements, as well as how to handle the changes in the financial reporting landscape including: the aggregation of insurance policies into cohorts, dynamic reserving, and the limitations imposed by caps and floors. Looking at the components of earnings, such as the present value of benefits, expenses, and premiums, and how these elements interact is critical to form a comprehensive earnings story.

Description: Expanding Horizons recently had the opportunity to interview Wenjun Zhu, the winner of the Society of Actuaries’ (SOA’s) third Actuarial Science Early Career Award.

Description: The article contains a description of the Emerging Topics Community. The focus of the article is what is a community, what makes the Emerging Topics Community special, and benefits of the Community. Included after the discussion on the community are ways to get involved and be a part of the community.