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Tuesday, October 15 • 9:30am - 10:00am
Using Deep Learning to Understand Documents

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Bill.com is working to build a paperless future. We parse through 60M documents a year ranging from invoices, contracts, receipts and a variety of other types. Understanding those unstructured documents is critical to building intelligent products for our users. While the field of optical character recognition (OCR) has been around for almost half a century, document parsing and field extraction from images remain an open research topic and challenging problem to date. Computer vision algorithms utilizing deep learning have rapidly progressed and allow image segmentation at the region and pixel level in domains such as self-driving cars and scenery embeddings. We utilize an end-to-end deep learning and OCR architecture to predict regions of interest within documents and extract their text."

avatar for Eitan Anzenberg

Eitan Anzenberg

Director of Data Science, Bill.com
Eitan Anzenberg is the Director of Data Science at Bill.com. He has 7+ years experience in Data Science with a background in machine learning, applied statistics, modeling and engineering. Eitan was a Postdoctoral Scholar at Lawrence Berkeley National Lab, received his PhD in Physics from Boston University and his B.S. in Astrophysics fr... Read More →

Tuesday October 15, 2019 9:30am - 10:00am CDT
BRC 103

Attendees (6)