Description: Article discusses what is your book idea and will it advance your business goals with applications to thoughtleading image.

Description: This article summarizes a survey on career satisfaction and advancement conducted last fall via FutureRisk.org. The survey asked actuaries about topics ranging from their current job situation, employer and professional aspirations to job satisfaction, career advancement activities and training received via various resources.

Description: Discussion of practice areas, the Society of Actuaries' strategic plan, and the Implementation Task Force on Sections and Practice Areas.

Description: The average person spends from one third to one half of every waking hour thinking about the past or present. We talk to ourselves when we do. Psychologists have identified three steps you can take to make your self-talk more positive. This will make you happier and better able to achieve the goals you set at home and at work.

Description: The article talks through my personal journey of passing actuarial exams during the pandemic. The purpose of the article is to provide readers a different perspective on how to successfully navigate and balance work-study commitments. The article provides 6 tips that helped me overcome exam challenges.

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: True diversity and belonging happens we create opportunities to learn and make connections. In addition, when companies increase employee visibility and embrace the future, measurable results can be achieved. This session will help attendees better understand ally ship and workplace inclusion. Moreover, key DEI definitions and current concepts will be shared with attendees.

Description: In this report, we will try to provide an in-depth review of current Machine Learning and Deep Learning models and will explain how those models works and their possible applications in the actuarial field. The recent studies and successes from the industry will also be discussed. We intend to bring more actuaries onboard about those technologies and start to think about how to bring them into our daily work.

Description: The 2025 Student Research Case Study Challenge provides an opportunity for teams of students to apply their actuarial skills on a real-world problem in a business setting.