AI-Powered Document Understanding
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This is a podcast episode titled, AI-Powered Document Understanding. The summary for this episode is: <p>In this episode of the Wild Ducks podcast, host <a href="https://www.linkedin.com/in/jerry-cuomo/" rel="noopener noreferrer" target="_blank">Jerry Cuomo</a> welcomes <a href="https://www.linkedin.com/in/martingoodson/" rel="noopener noreferrer" target="_blank">Dr. Martin Goodson,</a> founder of <a href="https://www.evolution.ai/" rel="noopener noreferrer" target="_blank">Evolution AI</a>. They discuss the advancements in AI-powered document understanding, exploring how Evolution AI's innovative models merge computer vision and natural language processing to revolutionize data extraction. Martin shares insights from his journey in AI, the challenges of document analysis, and the future of AI in automating complex tasks. Tune in to learn how AI can potentially read and understand documents better than humans.Don't miss this fascinating conversation!</p>
Key Takeaways
From Traditional Models to AI: Document Processing Evolved
01:55 MIN
DESCRIPTION
In this episode of the Wild Ducks podcast, host Jerry Cuomo welcomes Dr. Martin Goodson, founder of Evolution AI. They discuss the advancements in AI-powered document understanding, exploring how Evolution AI's innovative models merge computer vision and natural language processing to revolutionize data extraction. Martin shares insights from his journey in AI, the challenges of document analysis, and the future of AI in automating complex tasks. Tune in to learn how AI can potentially read and understand documents better than humans.Don't miss this fascinating conversation!
Today's Host
Jerry Cuomo
|IBM Fellow | Teacher - https://www.linkedin.com/in/jerry-cuomo/
Today's Guests
Dr. Martin Goodson
|CEO and Chief Scientist at Evolution AI
In 2011, he was one of a tiny handful of attendees at a conference workshop on a little-known AI technology called ‘Deep Learning’. He realized then that deep learning could address the limitations of OCR. After years of frustration with ineffective solutions that delivered poor results, Martin was inspired to conceive a data extraction solution that ‘just works’.