Description: News for the SOA International Section members

Description: Read about how a great leader lays a tone upon which the harmonics of their followers are naturally amplified, rallying them together, while the tone of a great follower provides harmonics that further provide a layer of resonance for supporting those around them. These qualities help drive motivation, morale, and productivity within an organization.

Description: Mairi Mallon talks about social media and reinsurance

Description: Even if you are analytic and process oriented, you have the ability to be great at selling.

Description: The author shares the importance of creating a personal development plan.

Description: A compilation of reader responses is presented to a real life situation posed involving a management, leadership, or other business decision. This issue’s case study involved what to do about a product line that wasn't living up to expectations.

Description: A real life situation is posed involving an actuarial management decision, and readers are invited to suggest "What Would You Do?"

Description: This article discusses the determination of the proper level of centralization of functions in a company. The author makes the case that more is not always better.

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: This article outlines Georgia State University’s (GSU) innovative approach to actuarial science education in response to the evolving demands of the profession, including data science, AI, and climate risk. It highlights a comprehensive pipeline that supports students from early career exploration through high school outreach, into personalized undergraduate academic paths, and onto professional readiness. Key features include project-based learning integrated into core actuarial courses, hands-on technical training in R and Python, and industry-aligned case studies.