Archive

  • What insurers should consider when deploying AI

    10 July 2026

    Pete Carvill investigates the key decisions firms must make when embedding AI tools in their business

  • Why Insurance Risk Suite - Prophet AI Stands Out

    Neil Covington, Vice President, Product Management, Insurance Risk at FIS, explains why Insurance Risk Suite - Prophet's artificial intelligence (AI) approach is aimed at insurance-specific needs, and how Prophet embeds AI inside the insurance risk platform

  • FIS launches Insurance Risk Suite AI Assistant

    02 March 2026
  • Actuaries consider GPU hype and limitations at IFoA conference

    10 November 2025

    Actuaries hear that GPU technology could be game-changing and trigger the beginning of the end for proxy models

  • Climate risk and sustainability winners crowned in InsuranceERM's 2025 awards

    22 October 2025

    Bruno Gardner is named the climate and sustainability champion of the year

  • Enterprise Risk Management Technology Guide 2025-26 goes live

    08 September 2025

    The latest guide features over 130 risk, capital and modelling technology tools for insurers

  • The power of SaaS for actuarial modelling

    With a software-as-a-service (SaaS) computing model, actuaries are in a stronger position to reduce operating costs and add value for insurers. Andy MacLennan, vice president of solutions management at FIS®, explains how

  • Rewriting the script on actuarial process automation

    05 August 2025

    Process automation promises to eliminate the dull and repetitive tasks actuaries typically undertake. The reality sometimes falls short, but AI technology could be a game changer. Christopher Cundy reports

  • Actuarial operations adapt to the evolving risk landscape

    31 July 2025

    As actuarial operations become more automated, employ AI and rely on cloud infrastructure, firms are grappling with the implications. Martin Assmann reports

  • More power for actuarial modelling

    11 July 2025

    Christopher Cundy investigates the strengths, weaknesses and applicability of two technologies - cloud and GPUs - that are helping improve the speed of actuarial modelling