• The Dr. Data Show with Eric Siegel

  • Auteur(s): Eric Siegel
  • Podcast

The Dr. Data Show with Eric Siegel

Auteur(s): Eric Siegel
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  • Résumé

  • Eric Siegel covers why machine learning is the most important, most potent, and most misunderstood technology. And did I mention most important? Yup, it’s the most important – yet most new ML projects fail to deliver value. This podcast will help you: - Make sure machine learning is effective and valuable - Catch common machine learning oversights - Understand ethical pitfalls – concretely - Sniff out all the ”artificial intelligence” malarky This podcast is for both data scientists and business leaders of all kinds – such as executives, directors, line of business managers, and consultants – who are involved in or affected by the deployment of machine learning. To get machine learning to work, both the tech and business sides must make an effort to reach across wide chasm. About the host: Eric Siegel, Ph.D., is a leading consultant and former Columbia University professor who helps companies deploy machine learning. He is the founder of the long-running Machine Learning Week conference series and its new sister, Generative AI Applications Summit, the instructor of the acclaimed online course “Machine Learning Leadership and Practice – End-to-End Mastery,” executive editor of The Machine Learning Times, and a frequent keynote speaker. He wrote the bestselling ”Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die,” which has been used in courses at hundreds of universities, as well as ”The AI Playbook: Mastering the Rare Art of Machine Learning Deployment.” Eric’s interdisciplinary work bridges the stubborn technology/business gap. At Columbia, he won the Distinguished Faculty award when teaching the graduate *computer science* courses in ML and AI. Later, he served as a *business school* professor at UVA Darden. Eric has appeared on numerous media channels, including Bloomberg, National Geographic, and NPR, and has published in Newsweek, HBR, SciAm blog, WaPo, WSJ, and more. https://www.machinelearningweek.com http://www.bizML.com http://www.machinelearning.courses http://www.thepredictionbook.com
    Copyright 2022 All rights reserved.
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Économie
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Épisodes
  • The Rise Of Large Database Models (article)

    The Rise Of Large Database Models (article)
    Feb 3 2025

    In this episode, listen to a narration of Eric Siegel's article in Forbes:

    The Rise Of Large Database Models

    Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models.

    Access the original article here: https://www.forbes.com/sites/ericsiegel/2025/01/13/the-rise-of-large-database-models/
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    8 min
  • 3 Predictions For Predictive AI In 2025 (article)

    3 Predictions For Predictive AI In 2025 (article)
    Jan 27 2025

    3 Predictions For Predictive AI In 2025 (article)

    In this episode, listen to a narration of Eric Siegel's article in Forbes:

    3 Predictions For Predictive AI In 2025

    1) GenAI hybrids, 2) ML valuation, 3) bizML—these advances will bring predictive AI back into the spotlight and further amplify its value.

    Access the original article here: https://www.forbes.com/sites/ericsiegel/2025/01/06/3-predictions-for-predictive-ai-in-2025/
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    6 min
  • Alphabet Uses AI To Rush First Responders To Wildfires (article)

    Alphabet Uses AI To Rush First Responders To Wildfires (article)
    Jan 20 2025

    In this episode, listen to a narration of Eric Siegel's article in Forbes:

    Alphabet Uses AI To Rush First Responders To Wildfires — Takeaways For Businesses

    An initiative from Google’s parent company that rushes the National Guard to climate disasters stands ready to review aerial images from the LA wildfires.

    Access the original article here: https://www.forbes.com/sites/ericsiegel/2025/01/13/alphabet-uses-ai-to-rush-first-responders-to-disasters-takeaways-for-businesses/
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    7 min

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