April 4, 2023
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 machine. The drudgery and error-inducing process of keying in forms was reduced.
Today’s interview is with Chris 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 combine expand OCR’s ability and have it reducing clerical errors, improve performance, and deliver better customer experience. Not only that, but the solution can also be scaled to handle enormous number of documents.
"the common denominator here is we are eliminating the time tax that we all experience with these legacy processes"
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 your think about the size of your tax return last year.
Handling 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 paper document. Any effort at increasing the accuracy of that data means the end results
will improve.
If you enjoyed this episode, you may want to listen to episode #54 Robotic Process Automation and Federal Systems
John Gilroy
Has been behind a microphone since 1991. He can help you structure, launch, and promote your company podcast. johngilroy@theoakmontgroupllc.com
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