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

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

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

In this episode, Eric Siegel narrates his article in The European Business Review, "Where FICO Gets Its Data for Screening Two-Thirds of All Card Transactions."

The detection of fraudulent credit card transactions is an ideal candidate for the application of machine learning technology. However, in order to learn how to spot attempted fraud, such a system needs someone to tell it which historic transactions were OK, and which were not.

Access the original article here: https://www.europeanbusinessreview.com/where-fico-gets-its-data-for-screening-two-thirds-of-all-card-transactions/

This article is excerpted from the book, The AI Playbook: Mastering the Rare Art of Machine Learning Deployment, with permission from the publisher, MIT Press. It is a product of the author’s work while he held a one-year position as the Bodily Bicentennial Professor in Analytics at the UVA Darden School of Business.

Other links from the article:

What Leaders Should Know About Measuring AI Project Value – why predictive AI needs – but usually doesn't have – business metrics (MIT Sloan Management Review).

Citations and other notes (PDF)

In this episode, Eric Siegel narrates his article in Forbes, "3 Ways Predictive AI Delivers More Value Than Generative AI."

Generative AI attracts headlines, but predictive AI delivers greater value. This article covers three ways predictive AI eclipses generative AI.

Access the original article here: https://www.forbes.com/sites/ericsiegel/2024/03/04/3-ways-predictive-ai-delivers-more-value-than-generative-ai/

Also listen to narrations of two of Eric Siegel's other recent, related articles on predictive AI:

1) What it takes to capitalize on predictive AI:

Getting Machine Learning Projects from Idea to Execution

Harvard Business Review (print article)

2) Why predictive AI needs – but usually doesn't have – business metrics:

What Leaders Should Know About Measuring AI Project Value

MIT Sloan Management Review (print article)

Both of these articles are adapted from Eric Siegel's new book, The AI Playbook.

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.

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.

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!