Selling AI to the Enterprise with Kathryn Hume

800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

This week my guest is Kathryn Hume. Kathryn is the President of Fast Forward Labs, which is an independent machine intelligence research company that helps organizations accelerate their data science and machine intelligence capabilities. If Fast Forward Labs sounds familiar, that’s because we had their founder, Hilary Mason on a few months ago. We’ll link to that in the show notes. My discussion with Kathryn focused on AI adoption within the enterprise. She shared several really interesting examples of the kinds of things she’s seeing enterprises do with machine learning and AI, and we discussed a few of the various challenges enterprises face and some of the lessons her company has learned in helping them. I really enjoyed our conversation and I know you will too!

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Future of Data Summit


The Future of Data Summit

I invite you to join me at the Future of Data Summit, an event I’m organizing in conjunction with the Interop ITX conference in Las Vegas. At the event you’ll learn from industry leaders and technology users on how they’re taking advantage of emerging data-centric technologies like IoT, blockchain, deep learning, and more. To learn more about the Summit visit The code I provide on that page, which is simply my last name, CHARRINGTON, provides TWIML listeners with a 20% discount when they register for Interop.

About Kathryn Hume

1 comment
  • Abdurrahman

    I loved this quote about realistic expectations of AI in practice in the near future:

    “Their default assumption is: they can go from manual to completely automated in the first pass, which I think is leading to what I call some of the big distractions in discussions around AI: where we assume that in the next ten years, the workplace is going to radically shift and everybody is going to lose their jobs and we are going to be replaced by machines. And our humble experience from working with companies in practice is that, that is not happening any time soon.”

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