Machine Learning Leadership and Practice: End to End Mastery

Machine Learning Leadership and Practice: End to End Mastery

This end-to-end course will empower you to lead and 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 leadership best practices.

Operating as usual

March 1, 2024 - Machine Learning Dr. Eric Siegel and Digital Marketing TJ Murphy - School for Startups Radio 02/03/2024

Listen to Eric Siegel on a broadcast to 73 radio stations discuss some of the good news and bad news about machine learning and what it takes to capitalize on it:

March 1, 2024 - Machine Learning Dr. Eric Siegel and Digital Marketing TJ Murphy - School for Startups Radio The supposed threat of AI taking over roles, I think that is part of the hype that is hurtful for everybody. It causes nerves where they are not needed and oversells the technology. It is not autonomous. We are not creating artificial humans.

Data scientists: Still the sexiest job - if anyone would just listen to them 01/03/2024

"Only about one in five machine learning models developed by data scientists make it to actual deployment, survey finds. What's the problem?" This article quotes work by Karl Rexer, Eric Siegel, Tom Davenport, and DJ Patil:

Data scientists: Still the sexiest job - if anyone would just listen to them Only about one in five machine learning models developed by data scientists make it to actual deployment, survey finds. What's the problem?

S6 | 489: Machine learning in the enterprise with Eric Siegel, Machine Learning Week — Greg Kihlström Marketing Technology 29/02/2024

Do machine learning projects fail to deploy for the same reason digital transformation projects in general do? In this podcast interview, Eric Siegel points out that ML projects have their own very particular sticking points and requirements. Let's get those ML projects deployed!

S6 | 489: Machine learning in the enterprise with Eric Siegel, Machine Learning Week — Greg Kihlström Marketing Technology Today we’re going to talk about machine learning in the enterprise and how, despite a less than stellar success rate, organizations can achieve success with the right approaches. To help me discuss this topic, I’d like to welcome Eric Siegel, Founder of Machine Learning Week and author of The AI...

The AI Playbook | Eric Siegel, author | bizML 28/02/2024

Thomas LaRock, who's been in data science for 25+ years, reviewed Eric Siegel's new book, The AI Playbook: "This book provides the right framework (bizML) for successful AI/ML deployments at the right time. Anyone, or any company, looking to deploy (or has deployed) AI/ML projects should buy copies of this book for all stakeholders." Click here for the review: https://www.linkedin.com/pulse/book-review-ai-playbook-thomas-larock-lxiqe/ Click here for the book: http://www.bizML.com

The AI Playbook | Eric Siegel, author | bizML In his bestselling first book, Eric Siegel explained how machine learning works. In The AI Playbook, he shows how to capitalize on it.

SMR Article: The Rare, Crucial Move to Business Metrics for Establishing ML's Value | The Dr. Data Show with Eric Siegel 27/02/2024

Most AI/machine learning projects report only on technical metrics that don’t tell leaders how much business value could be delivered (such as lift and AUC). To prevent project failures, press for business metrics instead (such as profit, savings, and ROI). In this pod, listen to Eric Siegel narrate his article in MIT Sloan Management Review, "What Leaders Should Know About Measuring AI Project Value."

SMR Article: The Rare, Crucial Move to Business Metrics for Establishing ML's Value | The Dr. Data Show with Eric Siegel In this episode, Eric Siegel narrates his article in MIT Sloan Management Review, "What Leaders Should Know About Measuring AI Project Value." Most AI/machine learning projects report only on technical metrics that don’t tell leaders how much business value could be delivered. To prevent project f...

26/02/2024

In this episode, Eric Siegel narrates his article in MIT Sloan Management Review, "What Leaders Should Know About Measuring AI Project Value."
Most AI/machine learning projects report only on technical metrics that don’t tell leaders how much business value could be delivered. To prevent project failures, press for business metrics instead.
Access the original article here: https://sloanreview.mit.edu/article/what-leaders-should-know-about-measuring-ai-project-value/
This article is excerpted from Eric's new book, The AI Playbook: http://www.bizML.com
The full details of the article's central example are within a sidebar of the original article (not read through in detail within this podcast episode). You can also access this spreadsheet with the same calculations if you would like to try out different scenarios — such as varying the model lift, the number of transactions held, or the cost of each FP and FN.

AI Washing cartoon- Marketoonist | Tom Fishburne 24/02/2024

This article begins with: “AI suffers from an unrelenting, incurable case of vagueness,” Eric Siegel told the BBC...

AI Washing cartoon- Marketoonist | Tom Fishburne “AI suffers from an unrelenting, incurable case of vagueness,” Eric Siegel told BBC reporter James Clayton. At the same time, Gartner pegged Generative AI in its most recent Hype Cycle as being on the “Peak of Inflated Expectations.” That combined “vagueness” and “hype” is a recipe f...

Join Dean Abbott for His Unmissable Workshop and Session 23/02/2024

Come to Machine Learning Week 2024 (June 4-7 in Phoenix) for Dean Abbott's workshop – "Automating Building of Predictive Models: Predictive AI + Generative AI" – as well as his conference session, "Enterprise ML Projects Need More Than AutoML."

Join Dean Abbott for His Unmissable Workshop and Session

How to Sell a Machine Learning Project 20/02/2024

Never sell “AI.” Instead, pitch operational improvements, with no more than a footnote to mention machine learning as part of the solution. Most machine learning leaders focus more on the technology than its deployment, so most new machine learning initiatives fail.

How to Sell a Machine Learning Project Never sell “AI.” Instead, pitch operational improvements, with no more than a footnote to mention machine learning as part of the solution. Elevator pitch.

How machine learning (or AI) can help business operations 18/02/2024

What science is better suited for "Cool Science Radio" than ? That's a rhetorical question! Listen to Eric Siegel's radio appearance on the show, where he covers the true purpose of machine learning: issuing actionable predictions.

How machine learning (or AI) can help business operations Eric Siegel, author of the new book “The AI Playbook, Mastering the Rare Art of Machine Learning Deployment," talks about how machine learning can enhance business operations.

Effective machine learning needs leadership — not AI hype 16/02/2024

"The machine learning industry has bitten forbidden fruit: It has chosen to promote itself as AI, an ill-defined umbrella term that includes ML within its malleable scope. This tends to mislead, especially when discussing a more typical, practical ML initiative designed to improve business operations and not, for example, meant to generate humanlike writing or to achieve human-level “intelligence.” While the world largely knows of ML as AI, the term AI is also how the world largely misunderstands ML."

Effective machine learning needs leadership — not AI hype Practical ML can radically improve business operations — but planning and deployment issues need to be addressed.

What Leaders Should Know About Measuring AI Project Value 15/02/2024

Major cause of failure: Most AI/ML projects report only on technical metrics that don’t tell leaders how much business value could be delivered. To prevent project failures, press for business metrics. Read Eric Siegel's article in MIT Sloan Management Review:

What Leaders Should Know About Measuring AI Project Value When deciding whether to deploy a machine learning model, focus on business metrics, not technical ones.

ML leaders featured in "The AI Playbook" will keynote at MLW 2024 14/02/2024

Machine Learning Week 2024 (June 4-7 in Phoenix) will present four keynotes from ML leaders featured in Eric Siegel's new book, "The AI Playbook" – who have led ML initiatives at UPS, FICO, Unilever, and prominent dot-coms. Register for MLW by this Friday for the Early Bird price and receive a free copy of the book.

ML leaders featured in "The AI Playbook" will keynote at MLW 2024

Five insights from "The AI Playbook" | The Dr. Data Show with Eric Siegel 13/02/2024

This pod episode covers five insights from Eric Siegel's new book, The AI Playbook – check it out:

Five insights from "The AI Playbook" | The Dr. Data Show with Eric Siegel This episode covers five insights from the new book, The AI Playbook, which come from a piece originally published by The Next Big Idea Club. On a related note, the book has been included as a Next Big Idea Club Must Read. Also, here is the book's recent Bloomberg Businessweek Radio segment, which w...

13/02/2024

This episode covers five insights from the new book, The AI Playbook, which come from a piece originally published by The Next Big Idea Club.
On a related note, the book has been included as a Next Big Idea Club Must Read.
Also, here is the book's recent Bloomberg Businessweek Radio segment, which was mentioned herein.
For more about The AI Playbook, see the details, endorsements, and ordering options at www.bizML.com.

Dr. Eric Siegel, Founder of Machine Learning Week, on 6 steps to usher in successful ML projects - AI and the Future of Work 12/02/2024

"AI is intrinsically a sci-fi concept... We're going to always have AI winters so long as we call it AI. Instead, focus on concrete value." Eric Siegel was interviewed by Dan Turchin on the "AI and the Future of Work" pod, discussing , a 6-step process to usher programs from conception to deployment.

Dr. Eric Siegel, Founder of Machine Learning Week, on 6 steps to usher in successful ML projects - AI and the Future of Work Dr. Eric Siegel 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 World, th...

"The AI Playbook" by Eric Siegel > Marketing Book Podcast 09/02/2024

Douglas Burdett – the world's most entertaining business podcast host – interviewed Eric Siegel about his new book, "The AI Playbook"... and also his dancing.

"The AI Playbook" by Eric Siegel > Marketing Book Podcast "The AI Playbook" by Eric Siegel > Marketing Book Podcast

How to Capitalize on Artificial Intelligence - Bloomberg Businessweek 08/02/2024

Listen to Eric Siegel's 10 minute spot on Bloomberg Businessweek radio from a couple days ago, discussing his new book, "The AI Playbook" (www.bizML.com). How do you clarify the whole machine learning versus AI thing under time pressure on national media? What about the AGI killer robot fears? Here's how it went down: https://omny.fm/shows/bloomberg-businessweek/how-to-capitalize-on-artificial-intelligence

How to Capitalize on Artificial Intelligence - Bloomberg Businessweek Watch Carol and Tim LIVE every day on YouTube: http://bit.ly/3vTiACF. Eric Siegel, former Columbia University Professor, discusses his book The AI Playbook: Mastering the Rare Art of Machine Learning Deployment. Hosts: Carol Massar and Tim Stenovec. Producer: Paul Brennan.

Roomba Go Home - Motley Fool Money 07/02/2024

The Motley Fool Money podcast interviewed Eric Siegel about "The AI Playbook" (which dropped yesterday – see www.bizML.com) and the challenges facing companies looking to adopt machine learning. To listen, click here and fast forward to the 16:55 mark: https://www.fool.com/podcasts/motley-fool-money/2024-01-29-roomba-go-home/

Roomba Go Home - Motley Fool Money Amazon ends its deal with iRobot leaving the Roomba maker’s path forward unclear. (00:21) Jason Moser and Deidre Woollard discuss: - Why Amazon ended the iRobot deal. - Where iRobot could go next. - If Sofi is building the next big bank. (17:12) Eric Siegel, author of The AI Playbook, explains the...

06/02/2024

"The AI Playbook" published today! The book presents the bizML framework for getting ML models deployed.

It's been recommended by the likes of Fast Company, Scott Galloway, Charles Duhigg, Mustafa Suleyman, and DJ Patil. Coverage in Harvard Business Review, MIT Sloan Management Review, Bloomberg Radio, Motley Fool, and much more. A Next Big Idea Club Must Read.

Learn more and order your copy here: www.bizML.com

https://www.facebook.com/datacampinc/videos/1352863645432939/

06/02/2024

I'm excited to announce that today, my new book has published!
The AI Playbook: Mastering the Rare Art of Machine Learning Deployment
Info at: http://www.bizML.com
In my first book, Predictive Analytics, I explained how machine learning works. Now, in The AI Playbook, I show how to capitalize on ML. The book presents a greatly-needed business framework that I call bizML.
See all the details, recommendations from the likes of Scott Galloway, Charles Duhigg, Mustafa Suleyman, the CEO of FICO, and DJ Patil, the first Chief Data Scientist of the US – and order the book at: www.bizML.com
It's available there as a hardcover, ebook, and audiobook.
This podcast episode includes the book's "FAQ: What This Book Is about and Who It’s For," which can also be read here: https://www.predictiveanalyticsworld.com/machinelearningtimes/faq-for-eric-siegels-new-book-the-ai-playbook/13205/
Here is some early media coverage:
Fast Company called the book, "An antidote to overheated rhetoric of all-powerful AI." https://www.fastcompany.com/91005340/eric-siegel-ai-playbook-interview
It is a Next Big Idea Club Must Read: https://nextbigideaclub.com/magazine/next-big-idea-clubs-february-2024-must-read-books/46393/
Also read or listen to my Next Big Idea Club five-insights overview: https://nextbigideaclub.com/magazine/5-guidelines-successfully-launching-machine-learning-business-bookbite/47774/
Harvard Business Review: https://hbr.org/2024/01/getting-machine-learning-projects-from-idea-to-execution
Book review from Barbara Oakley – co-instructor of the world's most popular course, Coursera’s Learning How to Learn. She writes, “Siegel is a master story-teller... We LOVED this book and cannot recommend it more highly!” https://barbaraoakley.com/recommendation/the-ai-playbook/
Even before its release, the book hit the #1 slot on Amazon’s top 100 Hot New Releases in Technology.
Here’s to accelerating progress as the world improves business with science — thanks and happy reading!

How to succeed in applied machine learning 05/02/2024

Ben Dickson reviewed Eric Siegel's new book, The AI Playbook. "Siegel delves into the reasons machine learning projects fail and provides a framework [bizML] for implementing machine learning in business... What is interesting about bizML is that model training and deployment are the very last steps of the process. This is in contrast to what you experience in ML courses..." Read the full review here:

How to succeed in applied machine learning In his book "The AI Playbook," Eric Siegel presents bizML, a framework for achieving success in applied machine learning projects.

The AI Playbook - Barbara Oakley 02/02/2024

"The AI Playbook" ships on Tuesday! Barbara Oakley – co-instructor of the world's most popular course, Coursera’s Learning How to Learn – writes, "Siegel is a master story-teller... We LOVED this book and cannot recommend it more highly!" Read her book review (below) and order your copy (www.bizML.com). https://barbaraoakley.com/recommendation/the-ai-playbook/

The AI Playbook - Barbara Oakley ORDER NOW > The AI Playbook By Eric Siegel Recommended on: 16th January 2024 The AI Playbook: Mastering the Rare Art of Machine Learning Deployment, by Eric Siegel. Whether you are an AI expert or know nothing about AI, this book will teach you, through compelling examples of success and failure, wh...

5 Guidelines to Successfully Launching Machine Learning in Your Business 01/02/2024

The Next Big Idea Club selected Eric Siegel's new book, "The AI Playbook," as one of their February Must Reads and dropped this "five insights" overview into their popular app – but you can also listen to or read it here:

5 Guidelines to Successfully Launching Machine Learning in Your Business Author Eric Siegel shares 5 key insights from his new book, The AI Playbook: Mastering the Rare Art of Machine Learning Deployment.

HBR Article: The AI Hype Cycle Is Distracting Companies | The Dr. Data Show with Eric Siegel 31/01/2024

Including all ML initiatives under the “AI” umbrella oversells and misleads, contributing to a high failure rate for ML business deployments. For most ML projects, the term “AI” goes entirely too far — it alludes to human-level capabilities. In fact, when you unpack the meaning of “AI,” you discover just how overblown a buzzword it is: If it doesn’t mean artificial general intelligence, a grandiose goal for technology, then it just doesn’t mean anything at all. In this podcast episode, I narrate my article in The Harvard Business Review, "The AI Hype Cycle Is Distracting Companies."

HBR Article: The AI Hype Cycle Is Distracting Companies | The Dr. Data Show with Eric Siegel In this episode, Eric Siegel narrates his article in The Harvard Business Review, "The AI Hype Cycle Is Distracting Companies." Access the original article here: https://hbr.org/2023/06/the-ai-hype-cycle-is-distracting-companies Learn more about and order Eric's new book, The AI Playbook: http://www...

31/01/2024

In this episode, Eric Siegel narrates his article in The Harvard Business Review, "The AI Hype Cycle Is Distracting Companies."
Access the original article here: https://hbr.org/2023/06/the-ai-hype-cycle-is-distracting-companies
Learn more about and order Eric's new book, The AI Playbook: http://www.bizML.com
Machine learning has an “AI” problem. With new breathtaking capabilities from generative AI released every several months — and AI hype escalating at an even higher rate — it’s high time we differentiate most of today’s practical ML projects from those research advances. This begins by correctly naming such projects: Call them “ML,” not “AI.” Including all ML initiatives under the “AI” umbrella oversells and misleads, contributing to a high failure rate for ML business deployments. For most ML projects, the term “AI” goes entirely too far — it alludes to human-level capabilities. In fact, when you unpack the meaning of “AI,” you discover just how overblown a buzzword it is: If it doesn’t mean artificial general intelligence, a grandiose goal for technology, then it just doesn’t mean anything at all.

Mastering the rare art of machine learning deployment with Eric Siegel - Forecasting Impact 30/01/2024

One week from today, my new book "The AI Playbook" drops. Listen to my podcast interview about the book – with The International Institute of Forecasters – and pre-order yourself a copy (www.bizML.com): https://forecastingimpact.buzzsprout.com/1641538/14364471-mastering-the-rare-art-of-machine-learning-deployment-with-eric-siegel

Mastering the rare art of machine learning deployment with Eric Siegel - Forecasting Impact In this episode of our podcast, we delve into the intricate world of machine learning (ML) deployment with Dr. Eric Siegel, author of the book "AI Playbook, Mastering the Rare Art of Machine Learning Deployment". Dr. Siegel, once an avid advo...

How to Succeed With Predictive AI 26/01/2024

Join me on February 8 for a live webinar with MIT Sloan Management Review. Learn about bizML – six business steps to successful machine learning deployment.

How to Succeed With Predictive AI Machine learning is the engine of predictive AI. Yet too many machine learning projects fail at deployment. The primary reason? They’re viewed as technology rather than business projects. And organizations often fail to foster a connection between business and technology functions. In this webinar...

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Videos (show all)

SMR Article: The Rare, Crucial Move to Business Metrics for Establishing ML's Value
Five insights from "The AI Playbook"
The AI Playbook – book launch, early reviews, FAQ
HBR Article: The AI Hype Cycle Is Distracting Companies