How machine learning is improving your business processes

Feb 23, 2017 2:18:21 PM

docBrain is a highly advanced document processing technology developed internally by Moonoia after years of experience in the Business Process Outsourcing sector.

What makes docBrain cutting-edge is the use of deep learning neural networks: high quantities of artificial neurons are being constantly trained not only to extract data and classify documents, but to become better at it every day. Training by ways of data crunching gives docBrain unprecedented accuracy levels and automation capabilities.

FEATURES

  • Handwriting recognition, regardless of language / alphabet Neural networks are fast learners. Based on the samples they get during training, they can instantly recognize and adapt to various handwriting styles for faster, more accurate extraction.
  • Deduction, or not your average auto-complete feature There is a reason why content management solutions are nowadays referred to as systems of understanding. When used to extract data, machine intelligence can fill in on words and other missing information from deteriorated documents by automatically learning the probability of occurance of certain strings of characters.
  • Image enhancement Character recognition and deduction do necessitate readable content to start with. But what if the image quality is so low that even humans cannot make sense of it? Enter Convolutional Neural Networks. These CNN's or ConvNets can de-skew, de-speckle and de-blur images before performing character recognition.
  • Automatic document classification Companies deal with high volumes of structured, semi-structured and unstructured content every day. Intelligent recognition highlights vital information from virtually any kind of document, automatically classifying it.
  • Expectations and results management docBrain is highly configurable, so that you won't waste any of that intelligence on irrelevant outcomes. Set your own user-specific rules and personalize accuracy and confidence levels according to what you expect to get from each data set.
  • Self-governance docBrain monitors neural network performance and health through recurrent quality assurance (QA) tests.

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