Insurance companies are already starting to use image-based data and machine learning models to understand the scope of damage to vehicles, but eventually, they would want to expand the technology to assess entire geographic regions.
With climate-driven catastrophes increasing in frequency, leaving areas difficult to access for humans to understand the extent of insurance claims, bringing rich models with satellite and other data to bear makes sense. This industry is expected to need a lot of AI training and inference, especially if the “boots on the ground” approach to assessing claims becomes less important if only for speed’s sake.
Editorial note: PANN based neural networks are quick and easy to train and re-train.