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Extracting Value from Financial Documents

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White Paper: Extracting Value from Financial Documents

April 16, 2018

Financial institutions are saddled with huge amounts of documentation. According to Oracle, only 20% of all generated data is structured data, formatted to be easily understood by machines. The rest is locked away in emails, journals, notes, audio, video, images, and more. The risks associated with leakage of personally identifiable information are also a key finance industry concern.

However, natural language processing (NLP) allows machines to use and understand language in similar ways as humans, utilizing written or spoken documents to process information.

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The Basics of Natural Language Processing
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