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TensorFlight automates property inspection for underwriting, reinsurance and …


Byjanhavi
04/10/2019

TensorFlight uses sophisticated deep machine vision to analyse satellite, aerial, drone and street view imagery of properties. This saves substantial time and cost of in-personal property inspection which has wide value in the underwriting, reinsurance and risk assessment industries.

TensorFlight assists with commercial property insurance evaluation using …


Byjanhavi
04/09/2019

TensorFlight automatically analyzes satellite, aerial, drone and street view imagery in order to automate slow and expensive manual in-person property inspections.

Metlife reduces document processing time by 40% by …


Byjanhavi
04/08/2019

Metlife uses Captricity’s READ engine to decipher data from manual documents. The READ engine leverages computer vision to convert hand written material into digital format, processing upto a million documents in an hour. Metlife has been able to automate 42% of documentation capture process. The engine handles exception such as unreadable characters by tagging them for human review.

MS & AD Insurance Group detects 2.5 times …


Byjanhavi
02/20/2019

MS & AD Insurance Group, one of Japan's leading insurers, has implemented Shift Technology’s FORCE solution to classify claims based on the probability of the claim being fraudulent. Force's machine learning algorithms have so far achieved a hit rate of 80% and have helped speed up claims processing for vast majority of customers.

Progressive implements mobile chatbot to answer customer service …


Byjanhavi
01/16/2019

The auto insurance provider Progressive introduced a text chatbot to field customer service inquiries over Facebook Messenger using Microsoft Azure tools and natural language understanding.

Researchers from various universities and labs enhance flood …


Byjanhavi
01/10/2019

Researchers at UC Berkeley, University of Dundee, Oak Ridge National Laboratory, Tufts University and Blue Urchin LLC have employed social media and crowdsourcing data to address the lack of hyper-resolution datasets for urban flooding. Data gathered from Twitter and a crowdsourcing app, MyCoast, are analysed using natural language processing and computer vision. The complementary data gathering method can improve detailed …

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