Ep. 60 Solving a Billion Dollar Paper Problem

When the history of technology of the twentieth century is written, one of the giants will probably be Ray Kurzweil. As most listeners know, he designed the first Optical Character Recognition (OCR) machine.  The drudgery and error-inducing process of keying in forms was reduced. 

Today’s interview is with Chirs Harr from Hyperscience.  During the interview, he gives listeners an understanding of how OCR has become Intelligent Document Processing.  He argues that the founders of Hyperscience produced innovation that combines expanding OCR’s ability and have it reducing clerical errors, improving performance, and deliver better customer experience.  Not only that but the solution can also be scaled to handle the enormous number of documents.

The ability to scale saves taxpayers money. In a recent study conducted last year, there is a report that four agencies process over 800 million documents a year.  This number seems high until you think about the size of your tax return last year.

Handling a massive number of documents applies to artificial intelligence.  It may not have occurred to you that a large part of the information that is poured into machine learning is generated with a paper document.

Any effort at increasing the accuracy of that data means the results will improve.

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