The insurance industry’s most serious threats – societal megatrends, disruptive technology advancements, and intensifying competition from new and traditional players – also hold the greatest potential for its growth and transformation.
Simon Lim reflects on the use of AI in insurance and suggests a practical framework for assessing AI models and managing risks.
A few months ago, Zeming Yu wrote My top 10 Python packages for data science. Like him, my preferred way of doing data analysis has shifted away from proprietary tools to these amazing freely available packages. However, I extend beyond data science and into traditional actuarial applications as well.
Harrison Gee provides an inside view of the sell-out training events that were recently put on by the Young Actuaries Program.
