The science of decision making, reimagined
Large volume of insurance documentation needing to be manually validated resulting in an error-prone process
Image processing techniques used to eliminate noise and improve quality of documents
ML based solution that can classify the documents and extract the required entities from them
Incorporate feedback from the user for active learning of the entity extraction reduced manual effort by 70%
Feedback on actual day volumes to continuously improve the predictions
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