Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Our Last Hope Before The AI Bubble Detonates: Taming LLMs
  Originally published in Forbes To know that we’re in...
The Agentic AI Hype Cycle Is Out Of Control — Yet Widely Normalized
  Originally published in Forbes I recently wrote about how...
Predictive AI Must Be Valuated – But Rarely Is. Here’s How To Do It
  Originally published in Forbes To be a business is...
Agentic AI Is The New Vaporware
  Originally published in Forbes The hype term “agentic AI”...

Original Content

Elon Musk Predicts Artificial General Intelligence In 2 Years. Here’s Why That’s Hype

 Originally published in Forbes, April 10, 2024 When OpenAI’s board momentarily ousted Sam Altman from his post as CEO last November, the media obsession was… intense. Why so much fuss about a corporate drama? The public mania—and perhaps the ousting itself—came in no small part from a widespread belief that the company is well on

Survey: Machine Learning Projects Still Routinely Fail to Deploy

 Originally published in KDnuggets. Eric Siegel highlights the chronic under-deployment of ML projects, with only 22% of data scientists saying their revolutionary initiatives usually deploy, and a lack of stakeholder visibility and detailed planning as key issues,...

Three Best Practices for Unilever’s Global Analytics Initiatives

    This article from Morgan Vawter, Chief Digital Officer at Unilever, serves as the foreword to The AI Playbook: Mastering the Rare Art of Machine Learning Deployment, by Eric Siegel. There’s almost no business outcome that...

Getting Machine Learning Projects from Idea to Execution

 Originally published in Harvard Business Review Machine learning might be the world’s most important general-purpose technology, but it’s notoriously difficult to launch. Outside of Big Tech and a handful of other leading companies, machine learning initiatives routinely...

Eric Siegel on Bloomberg Businessweek

  Listen to Eric Siegel, former Columbia University Professor, discuss his book The AI Playbook: Mastering the Rare Art of Machine Learning Deployment. Radio show: Bloomberg Businessweek Hosts: Carol Massar and Tim Stenovec. Producer: Paul Brennan. Click...

Effective Machine Learning Needs Leadership — Not AI Hype

 Originally published in BigThink, Feb 12, 2024.  Excerpted from The AI Playbook: Mastering the Rare Art of Machine Learning Deployment by Eric Siegel (February 6, 2024), published by The MIT Press. The ML (Machine Learning) industry has bitten forbidden...

Today’s AI Won’t Radically Transform Society, But It’s Already Reshaping Business

 Originally published in Fast Company, Jan 5, 2024. Eric Siegel had already been working in the machine learning world for more than 30 years by the time the rest of the world caught up with him. Siegel’s been...

Calculating Customer Potential with Share of Wallet

 No question about it: We, as consumers have our favorites, and as a marketer, you would certainly hope that your establishment will be top of mind when shopping decisions are being made. The fact is that while...

A University Curriculum Supplement to Teach a Business Framework for ML Deployment

    In 2023, as a visiting analytics professor at UVA Darden School of Business, I developed and “field tested” a curriculum supplement designed to augment introductory data science courses so that they cover the business-side execution...

The AI Playbook: Providing Important Reminders to Data Professionals

 Originally published in DATAVERSITY. This article reviews the new book, The AI Playbook, by my colleague here at The Machine Learning Times, Executive Editor Eric Siegel.  Free book: Come to Machine Learning Week – June 4-7, 2024 in Phoenix, AZ – to...

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