Description: This article explores strategies for optimizing actuarial models built on open system platforms. It begins by contrasting open and closed system modeling environments, emphasizing that users of open systems must take responsibility for in-house runtime optimization. The authors underscore the critical role that efficient, well-optimized models play in supporting a high-performing modeling team. To reinforce the techniques discussed, the article includes a case study focused on disability insurance modeling to offer practical insights.

Description: This article explores the evolving role of assumption management in the life insurance industry. The article highlights how behavioral, economic, and demographic assumptions are critical to pricing, forecasting, and explaining financial results, yet many insurers still struggle with fragmented practices and outdated processes. Drawing on survey insights from 15 U.S. insurers, the authors illustrate persistent challenges in governance, data integration, and automation. They argue for a more holistic, technology-enabled operating model centered on centralized assumption repositories. Such repositories provide a single source of truth, enable automated ingestion into models, support sensitivity testing, and enhance governance and transparency across actuarial, finance, and risk functions. The article offers guiding principles and design considerations for building scalable repositories that improve efficiency, consistency, and decision-making. Ultimately, it positions assumption management modernization not as a technical upgrade but as a strategic imperative to unlock clarity, agility, and competitive advantage in a complex market.

Description: The article is a chairperson’s update from Arthur da Silva on the Society of Actuaries (SOA) Emerging Topics Community, written to recap the past year’s accomplishments and outline potential priorities for the year ahead. Its intent is both informational while inviting community member participation and ideas for the year ahead. It also provides insight into the new AI subgroup and how it operates to help community members and other community leaders understand what it delivers and how to get involved.

Description: Actuarial models increasingly drive critical decisions, yet traditional governance - shared drives, file names, and Excel changelog tabs - create confusion and weak auditability. Version control systems, especially Git, offer a proven alternative by recording every change with author, time, and rationale, enabling reproducibility, collaboration, rollback, and transparent peer review. Git’s ecosystem (GitHub, GitLab, Bitbucket) adds pull requests, issue tracking, and centralized documentation, supporting auditors and regulators with a single source of truth. Actuarial use cases can include code and spreadsheet models, assumption management, and even monthly SQL queries. Adoption requires tooling, standards, and security discipline, but overall strengthens integrity and readiness for data-driven work.