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Advanced analytics in insurance: Utilizing building footprints derived from machine learning and high-resolution imagery

Advanced analytics in insurance: Utilizing building footprints derived from machine learning and high-resolution imagery

 

Presented by Milliman

Geospatial imagery and high-resolution image technology have a wide variety of applications for the property and casualty insurance industry, including underwriting, rating, and claims settlement. New methods for determining building location, such as the use of structure footprints, may offer significant improvements in risk determination in certain cases. In this paper, published for the Society of Actuaries Research Institute, Milliman experts discuss using building footprints derived from machine learning and high-resolution imagery.

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