Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...
Today’s AI Won’t Radically Transform Society, But It’s Already Reshaping Business
 Originally published in Fast Company, Jan 5, 2024. Eric...
Calculating Customer Potential with Share of Wallet
 No question about it: We, as consumers have our...
A University Curriculum Supplement to Teach a Business Framework for ML Deployment
    In 2023, as a visiting analytics professor...
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  There’s a surprising twist. While some question whether the prescient machines that drive decisions by way of induction and prediction are trustworthy, an emerging problem is that they often predict too well. Predictive technology is so powerful, it reveals a future often considered private. Millions of operational decisions in finance, marketing, law enforcement, and health care are now machine–driven — often with improved dexterity — using electronic predictions of human behavior, one person at a time. The technology to do this, predictive analytics, is a booming practice that’s taken hold across many industries. Computerized prediction will never

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