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: A disscussion of actuar R, an R package for actuarial science, and its facilities in the fields of loss distribution modeling, risk theory and credibility theory.

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

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

Description: This session is an in-depth interview of two actuaries turned Artificial Intelligence (AI) experts. We aim to have a conversation that gleans into each of their journeys and what led them to the path they are now on. We will open up the last ten minutes for audience questions. At the conclusion of this session, attendees will know Eric and Joe much better, have an understanding of what AI/machine learning/data scientist work is like for actuaries, and, for those who are curious to get more involved with AI, some encouragement to pursue their interests.

Description: The Society of Actuaries (SOA) Research Institute hosted a virtual Open House on Wednesday, April 19, 2023, from 2:00 p.m. to 3:00 p.m. Central. The topic of this virtual Open House was the Institute’s Actuarial Innovation & Technology Strategic Research Program. There was a presentation and a question-and-answer session.

Description: As data continues to become more robust and readily available, there has been a push in the actuarial field to transition away from Excel to SQL and Python native cloud-based platforms. While these platforms are widely used and powerful, they present their own challenges for the actuarial industry, requiring processes to be production-ready from the onset, technical expertise for integration, and robust requirements documentation. Low-code tools provide a unique alternative solution, which works well when the organizations operating model allows for actuarial and IT to work together, giving actuaries the flexibility they need while maintaining a level of control followed by the organization. Make use of demonstrations to showcase low-code tools (such as Alteryx and Dataiku) and their use case in the actuarial space. Learn how these low barrier-to-entry tools can be leveraged to create robust and controlled processes. Discuss how low-code tools can integrate with coding languages such as Python as well as efficiently prepare data for downstream visualization platforms such as Tableau and PowerBI.