Transforming CAT Modeling With AI: A Framework for Insurers
Insurers are fundamentally transforming catastrophe (CAT) modeling approaches with artificial intelligence (AI), machine learning (ML) and advanced climate data ...
Insurers are fundamentally transforming catastrophe (CAT) modeling approaches with artificial intelligence (AI), machine learning (ML) and advanced climate data ...
The insurance industry continues to grapple with the twin pressures of claims inflation and natural catastrophes. While premium increases have helped offset some of these ...
Earlier this year, as residents were evacuated due to wildfires fueled by Santa Ana winds in drought-ravaged parts of Southern California, commercial and personal lines ...
The wave of technological advancements generating, storing and using data has spurred on InsurTechs interested in revolutionizing insurance businesses, including those ...
Commercial auto insurance has experienced poor performance in aggregate, but the industry has also seen pockets of improvement resulting from considerable and unique ...
Nearmap, a location intelligence provider to insurers, has announced the launch of a pre-built AI-powered tool that allows insurance carriers to analyze risk at the ...
There's no denying the frequency (aka secondary) perils have taken front and center stage when it comes to weather-related disasters and insurer claims.
Non-weather-related water perils are a part of all insurers' books of business. But our environment is experiencing what seems to be increasingly unpredictable and ...
Winter Weather Loss Prevention: A Strong ROI Opportunity for Property Insurers