The Dr. Data Show with Eric Siegel

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

Listen on:

  • Apple Podcasts
  • Podbean App
  • Spotify
  • Amazon Music
  • TuneIn + Alexa
  • iHeartRadio
  • PlayerFM
  • Listen Notes
  • Podchaser
  • BoomPlay

Episodes

3 days ago

In this episode, listen to a narration of Eric Siegel's article in Forbes:
To Deploy Predictive AI, You Must Navigate These Tradeoffs
Before deploying predictive AI, you must strike a balance between competing business factors. Here's how.
Access the original article here: https://www.forbes.com/sites/ericsiegel/2024/08/27/to-deploy-predictive-ai-you-must-navigate-these-tradeoffs/
 

Tuesday Mar 18, 2025

Welcome to the very first Dr. Data Show episode with a guest: Michael Griebe, Chief Data Officer at Hahn Agency!
 
With the great changes brought to data science careers by genAI, Michael addresses pressing open questions that should be top of mind for every data scientist:
 
One compelling reason to focus on predictive AI more than genAI.
Why it's a safe bet that some consumer-facing LLMs will eventually be given too much "power," resulting in unexpected exposed vulnerabilities and costly lessons – and one way in which we can now work against that.
How Michael's team created a pilot AI assistant in less than a day – and then launched it into wide-scale production in less than a week.
Excuse my furious typing noises (as I absorbed Michael’s compelling input) and I hope you find his insights as exciting as I did!

Monday Mar 10, 2025

In this episode, listen to a narration of Eric Siegel's article in Forbes:
How Generative AI Helps Predictive AI
Large language models can act as predictive models. Here's an example for misinformation detection—and an introduction to savings curves.
Access the original article here: https://www.forbes.com/sites/ericsiegel/2024/08/21/how-generative-ai-helps-predictive-ai/
 

Monday Mar 03, 2025

In this episode, listen to a narration of Eric Siegel's article in Forbes:
The Quant's Dilemma: Subjectivity In Predictive AI's Value
When machine learning fails to detect misinformation, medical conditions or spam, the cost of each error is subjective. Here’s how to apply predictive AI nonetheless.
Access the original article here: https://www.forbes.com/sites/ericsiegel/2024/09/30/the-quants-dilemma-subjectivity-in-predictive-ais-value/

Monday Feb 24, 2025

In this episode, listen to a narration of Eric Siegel's article in Forbes:
The Great AI Myth: These 3 Misconceptions Fuel It
The impending arrival of artificial general intelligence is a story of wish fulfillment that lacks concrete evidence.
Access the original article here: https://www.forbes.com/sites/ericsiegel/2024/07/29/the-great-ai-myth-these-3-misconceptions-fuel-it/

Tuesday Feb 18, 2025

In this episode, listen to a narration of Eric Siegel's article in Forbes:
The 3 Things You Need To Know About Predictive AI
Stakeholders involved with predictive AI must ramp up on a semi-technical understanding that comes down to 1) what's predicted, 2) how well and 3) what's done about it.
Access the original article here: https://www.forbes.com/sites/ericsiegel/2024/06/29/the-3-things-you-need-to-know-about-predictive-ai/

Monday Feb 10, 2025

In this episode, listen to a narration of Eric Siegel's article in Forbes:
Why You Must Twist Your Data Scientist's Arm To Estimate AI's Value
For every machine learning model that you consider deploying, make sure that your data scientists provide you with a full view of its potential business value.
Access the original article here: https://www.forbes.com/sites/ericsiegel/2024/06/11/why-you-must-twist-your-data-scientists-arm-to-estimate-ais-value/

Monday Feb 03, 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/

Monday 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/

Monday 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/

More from Eric Siegel:

 
COURSE:
This end-to-end, three-course series will empower you to launch machine learning. Accessible to business-level learners and yet vital to techies as well, it covers both the state-of-the-art techniques and the business-side best practices.
 
 
BOOK:
A bestseller | 12 translations | 6 book awards
 
CONFERENCE:
The premier machine learning conference series
 
NEWS SITE:
The machine learning professionals' leading resource

Copyright 2022 All rights reserved.

Podcast Powered By Podbean

Version: 20241125