Property insurers are discovering the advantages of using imagery models in their property underwriting processes. Imagery models, for example, can help predict windstorm damage and these images can be used to analyze millions of properties to provide a risk assessment for a geographic area. This can help you as an insurer prioritize inspections and make better decisions during underwriting. These models can detect specific attributes that can be useful throughout a policy cycle, from rating and underwriting, to inspection and renewal.
In the video below, Prasanth Kambhatla, Director of Data Science, shares how using aerial imagery can create a more consistent and reliable picture of risk, limiting human error that can lead to misclassifications and higher risk.
This is the final entry in a series of vlogs by Prasanth Kambhatla sharing insights into how imagery analytics can be used to accurately assess risk and improve the customer experience. Other vlogs in this series are linked below. You can watch Prasanth’s entire vlog here.