Optical Character Recognition and Natural Language Classification in Insurance: Deep Learning Architectures for End-to-End Claims Processing Automation
Keywords:
optical character recognition, natural language classification, insurance, deep learning architectures, end-to-end claims processing automation, machine learningAbstract
Claims processing is a time-consuming and costly task within the insurance industry. The traditional method involves human assessment but is now slowly being replaced with automated systems. It is believed that AI-driven models can help in cutting down the costs that an insurance company pays to employ personnel to process claims, as well as reduce the time taken in claim processing, which, in general conditions, takes weeks.Downloads
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