There is general consensus among insurance and reinsurance underwriters about the safest property risks to accept in the California market, according to the co-founder of ...
A wise statistician once said: "All models are wrong, but some are useful." The key to getting useful (accurate) model results is working with models that fit specific ...
Coming off the worst underwriting performance in over a decade, the U.S. P/C insurance industry continues to face significant headwinds that threaten profitability and ...
The movie "Terminator 2" is the first thing that comes to mind when I hear about artificial intelligence. A universe where machines take over our daily lives seems so ...
As wildfires raged across Northeastern Canada in June, spreading toxic smoke across a large swath of Eastern and Central U.S., risk and insurance executives were reminded ...
As evidenced by the recent popularity of generative AI tools, the tech landscape in insurance seems to be moving at an increasingly fast pace.
This is the second part of a two-part article. In the first part, we defined a framework that can be used to classify both systemic and emerging risks.
While insurers' use of models to analyze and quantify risk is well established in the property space, it's becoming increasingly important in the casualty space. The use ...
How to Model Systemic and Emerging Risks for Liability Risk Management
Report: Advanced Digital Economies Wary of AI
Trust in artificial intelligence (AI) varies depending on how digitally advanced a country is, a recent study by the Swiss Re Institute found. In advanced digital economies, a third of respondents on ...
