Synthetic data can fill the risk modelling gap

Generative artificial intelligence tools can be deployed to extrapolate existing data and fill gaps in the information available to models, says Xceedance’s Brandon Nuttall

Climate risks are evolving fast – so fast insurance models are struggling to turn historical data into reliable predictive tools to keep up with the heightened frequency and severity of perils such as floods and droughts.