Description: Read how the world’s largest provider of specialty insurance for classic vehicles uses its media department’s YouTube videos to its full advantage.

Description: The document explores how AI-supported underwriting influences mortality slippage in accelerated underwriting and evaluates real-world applications, risks, and industry impacts.

Description: Open source programming languages have become a common part of the actuarial toolkit over the years. Using tools like R and Python, highly technical actuaries can automate onerous processes, easily work with massive amounts of data, create models and generate reports. Although these tools excel at turbo-charging analysts, it can be difficult for benefits to inure to the rest of the organization given the learning curve (“Can’t you just put this in Excel?”), control risks (“So your entire process could break overnight if some random person in Nebraska changes something?”), and internal IT environments. Listen in on a panel discussion where presenters share their personal stories of working with open source in a production setting. Hear about real world business problems, how open source tools were used, what risks were present, how they were overcome and the final business result.

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: This report outlines a framework for interpretable machine learning algorithms for detecting fraud in health insurance. It discusses the challenges of using black-box machine learning models in the insurance industry and proposes various interpretable methods to enhance transparency and understanding.

Description: This paper reviews the applications of operations research methods in the insurance industry. From Transactions of Society of Actuaries 1995, Vol. 47.

Description: Big data, predictive analytics, machine learning and AI will likely transform the insurance market and the actuarial profession. The actuarial profession is seeing changes many markets, including health and property and casualty. This article describes these trends and provides an introduction into what companies and the Society of Actuaries (SOA) are doing to adapt and capitalize on these trends.

Description: Recent and pending changes in financial reporting standards and regulations such as IFRS 17 and US GAAP Targeted Improvements are ramping up the performance pressures on actuarial models. New infrastructure technology in the cloud is driving modeling options that may well help actuaries successfully and economically meet these challenges and unlock even greater transformational change.

Description: Despite the advent of COVID-19, autonomous vehicle (AV) market leaders continued to invest in technology and to establish partnerships with vehicle original equipment manufacturers (OEMs)

Description: A discussion of techniques that can help manage model risk and complexity.