This session will address use cases for machine learning. and in particular deep learning. to extract quantifiable information from high resolution aerial imagery. The implementation and scaling of this capability facilitates the derivation of accurate and timely property-level statistics. which may be used for underwriting. assessment. adjustment. and general evaluation all to increase ROI for insurers. Machine learning specific cases will be illustrated and discussed and the basics of the technology and implementation.
Case Study 2: Encompass Insurance Improved Analytical Insurance Data for Machine “Deep” Learning for Better ROI
4:35 p.m. - 5:05 p.m.