• The Dr. Data Show with Eric Siegel

  • By: Eric Siegel
  • Podcast
The Dr. Data Show with Eric Siegel cover art

The Dr. Data Show with Eric Siegel

By: Eric Siegel
Listen for free

  • Summary

  • 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.
    Show More Show Less
Episodes
  • Forbes Article: Meta’s New GenAI Is Theatrical. Here’s How To Make It Valuable

    Forbes Article: Meta’s New GenAI Is Theatrical. Here’s How To Make It Valuable
    Apr 21 2024

    In this episode, Eric Siegel narrates his article in Forbes, "Meta’s New GenAI Is Theatrical. Here’s How To Make It Valuable."

    Concern about a generative AI bubble is growing. To defend against disillusionment, measure its concrete value.

    Access the original article here: https://www.forbes.com/sites/ericsiegel/2024/04/21/metas-new-genai-is-theatrical-heres-how-to-make-it-valuable/

    See/listen also to Eric Siegel's Harvard Business Review article: HBR Article: The AI Hype Cycle Is Distracting Companies

    Also see/listen to his Forbes article: Artificial General Intelligence Is Pure Hype
    Show More Show Less
    8 mins
  • Forbes Article: Artificial General Intelligence Is Pure Hype

    Forbes Article: Artificial General Intelligence Is Pure Hype
    Apr 10 2024

    In this episode, Eric Siegel narrates his article in Forbes, "Artificial General Intelligence Is Pure Hype."

    The belief that we’re gaining ground on AGI is misguided—reports of the human mind's looming obsolescence have been greatly exaggerated.

    Access the original article here: https://www.forbes.com/sites/ericsiegel/2024/04/10/artificial-general-intelligence-is-pure-hype/

    See/listen also to Eric Siegel's Harvard Business Review article: HBR Article: The AI Hype Cycle Is Distracting Companies
    Show More Show Less
    9 mins
  • Forbes Article: AI Success Depends On How You Choose This One Number

    Forbes Article: AI Success Depends On How You Choose This One Number
    Mar 26 2024

    In this episode, Eric Siegel narrates his article in Forbes, "AI Success Depends On How You Choose This One Number."

    AI can drive millions of operational decisions, but first the business must strategically select a single number that differentiates the yeses from the nos.

    Access the original article here: https://www.forbes.com/sites/ericsiegel/2024/03/25/ai-success-depends-on-how-you-choose-this-one-number/

    Links from the article:

    3 Ways Predictive AI Delivers More Value Than Generative AI (or read the original non-narrated article)

    What Leaders Should Know About Measuring AI Project Value – why predictive AI needs – but usually doesn't have – business metrics (or read the original non-narrated article in MIT Sloan Management Review).

    The AI Playbook: Mastering the Rare Art of Machine Learning Deployment by Eric Siegel
    Show More Show Less
    9 mins
Economics
Show More Show Less

What listeners say about The Dr. Data Show with Eric Siegel

Average Customer Ratings

Reviews - Please select the tabs below to change the source of reviews.

Audible.com.au reviews

Amazon Reviews
No Reviews are Available
In the spirit of reconciliation, Audible acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.