Case Study

Improving the Speed and Efficiency of AI-Enabled Damage Assessment in Insurance

Improving the Speed and Efficiency of AI-Enabled Damage Assessment in Insurance

Pages 16 Pages

Improving the Speed and Efficiency of AI-Enabled Damage Assessment in Insurance Authors: Anant Nawalgaria, Staff ML Specialist Engineer, Google Johannes Kuhn, Sr. Technical Data Specialist, Munich Re Dr. Ulrich Nöbauer, Sr. Technical Data Specialist, Munich Re John McSpedon, ML Engineer, Taktile Special thanks: Raviteja Vemulapalli, Research Scientist, Google Genquan Duan, Sr. Software Engineer, Google Dr. Henna Karna, Global Insurance, Google2 Executive Summary The combination of high-resolution aerial imaging and artificial intelligence has practical applications for multiple use cases, such as manufacturing defects detection, environmental impact studies and planning, urban vegetation mapping, and precision agriculture. Now, as major natural disasters have increased, the insura

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