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Today's guest is John-Clark Levin, Research Lead at Kurzweil Technologies. Kurzweil Technologies, Inc. (KTI) is a research and development company developing and marketing technologies in pattern recognition and artificial intelligence. In this episode, John-Clark unpacks the challenges of deploying AI in healthcare, focusing on reliability, risk tolerance, and the gap between model performance and real-world trust. He explores why even small error rates can derail adoption in high-stakes settings and how legal, institutional, and educational barriers often slow progress more than the technology itself. Want to share your AI adoption story with executive peers? Click emerj.com/ex2 for more information and to be a potential future guest on Emerj's flagship' AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!
By Emerj Technology Research3.8
44 ratings
Today's guest is John-Clark Levin, Research Lead at Kurzweil Technologies. Kurzweil Technologies, Inc. (KTI) is a research and development company developing and marketing technologies in pattern recognition and artificial intelligence. In this episode, John-Clark unpacks the challenges of deploying AI in healthcare, focusing on reliability, risk tolerance, and the gap between model performance and real-world trust. He explores why even small error rates can derail adoption in high-stakes settings and how legal, institutional, and educational barriers often slow progress more than the technology itself. Want to share your AI adoption story with executive peers? Click emerj.com/ex2 for more information and to be a potential future guest on Emerj's flagship' AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

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