Originally published in Forbes, March 4, 2024. Which kind of AI should companies focus on—generative AI, which produces writing, computer code, images, video and other content, or predictive AI, which targets ads, marketing, fraud detection, risk management, healthcare treatment and other established operations? Those posing this question may be missing the point—similar to when someone
Originally published in Forbes, March 25, 2024. To do its job, AI needs your help. It has the potential to drive millions of operational decisions—such as whom to contact, approve, investigate, incarcerate, set up on a date...
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...
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,...
This article from Morgan Vawter, Global Vice President of Data & Analytics at Unilever, serves as the foreword to The AI Playbook: Mastering the Rare Art of Machine Learning Deployment, by Eric Siegel. Morgan will...
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...
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...
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...
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...
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...
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