Expert perspectives on regulatory developments, emerging risks, and actuarial best practices shaping the insurance and financial services landscape
A practical experiment comparing Poisson GLMs against Gradient Boosting Machines on motor insurance data—and what four AI systems revealed about the results.
Read Full ArticleA comprehensive guide to integrating machine learning into actuarial practice—bridging GLMs, tree-based regression, and gradient boosting.
Read MoreA global perspective on why growth strategies fail—not from poor execution, but from structural risk misunderstanding.
Read MoreReflecting on the first year of IFRS 17 implementation, we examine the practical challenges insurers have faced and lessons learned.
Read MoreAn analysis of proposed amendments to the Solvency II framework and their practical implications for capital management and reporting.
Read MoreExploring methodologies for incorporating climate scenarios into actuarial models and reserving practices for both life and non-life insurers.
Read MoreA practical guide to quantifying and communicating reserving uncertainty to boards, auditors, and regulators effectively.
Read MoreHow leading insurers are leveraging their actuarial function as a strategic asset rather than a regulatory checkbox.
Read MoreAnalysing the latest CMI mortality improvement model updates and their impact on annuity pricing and reserving.
Read MorePractical strategies for cedants to optimise their reinsurance programmes in a challenging market environment.
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