Description: James Dunseth's MBA journey at Yale’s School of Management and his startup internship taught him invaluable entrepreneurial lessons. Key takeaways include the importance of customer feedback, flexibility, technical skills, effective metrics, and achieving product-market fit. These insights emphasize customer-centric approaches, agile methodologies, technical understanding, and strategic metric use to guide business decisions and foster innovation.

Description: Feature article discussing image recognition and how it may affect actuaries in the future.

Description: In this article, Extraction, Transformation and Loading tools are discussed and information on what makes a tool successful.

Description: Over the last two years, we experimented with online peer assessment platforms in undergraduate courses and saw them deliver major learning advantages and be highly popular with students. We explain why peer assessment shows great promise for actuarial science education and the main factors to consider when designing peer assessment activities. We also detail our use of online platforms in two undergraduate courses. By sharing our experience, we hope to provide you, our fellow educators, with a solid starting point for experimenting with this format.

Description: This article discusses the publication of the “Encyclopedia of Quantitative Risk Assessment”

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: This article looks at how the underwriting process has transformed from a paper process to become fully online. Not only has the process been digitized, there has been various innovations incorporating technology thus enabling large volume process automation, better customer experience as well as higher closing ratio. Other than improvement on speed and efficiency, various smart solutions are being explored to refine risk management through data mining and analysis of underwriting data.

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.