Language is one of the most powerful tools in our highly social, interconnected society. It takes years for a child to read proficiently, so how is it possible to translate such a nuanced, complicated human-centric concept like reading and comprehension for a computer? How do you write code to understand context cues?
Desi Gosby dedicated years to developing technology that applies advanced machine learning capabilities to translate images and characters into an easy-to-use digital experience. Desi shares unique technical challenges faced and lessons learned while applying computer vision to seeing and reading complex financial documents, as well as what is next for the future of computer vision.
Desirée Gosby is vice president of identity and profile at Intuit, where she leads a team of data and software engineers to architect and develop all aspects of identity for 50M Intuit customers. Desi began her 10-year career at Intuit as a senior engineer and has continued to take on bigger roles and responsibilities—including as a founding member of the company’s Innovation and Advanced Technology Group. Prior to her current role, she served as director of product development for Intuit’s Emerging Services Group, where her team built shared infrastructure to deliver personalized mobile, image data extraction (OCR), and search experiences used throughout Intuit’s mobile and online products, including TurboTax, QuickBooks, and Mint. She holds six patents. Desi received Intuit’s Scott Cook Innovation award in 2009 for Intuit’s first mobile application GoPayment.
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