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...
A University Curriculum Supplement to Teach a Business Framework for ML Deployment
    In 2023, as a visiting analytics professor...
The AI Playbook: Providing Important Reminders to Data Professionals
 Originally published in DATAVERSITY. This article reviews the new...

Predictive Analytics

“Doing AI” Is a Mistake that Detracts from Real Problem-Solving

  A note from Executive Editor Eric Siegel: Richard Heimann’s forthcoming book, Doing AI, takes on the problems with “AI” as a brand with a style so crisp, clear, and unique, it just pops off the page. He surveys the litany of troublemakers who’ve misguided the world with AI mythology, but then greets this mishap

Getting the Green Light for a Machine Learning Project

  This article is based on the transcript of one of 142 videos in Eric Siegel’s online course, Machine Learning Leadership and Practice – End-to-End Mastery. Originally published by SAS Blogs How do you internally sell a...

How AI Will Help Keep Time at the Tokyo Olympics

 Originally published in Wired, July 24, 2021. Omega, the official timekeeper of the Games, is now using computer vision and motion sensors for events like swimming, gymnastics, and beach volleyball. Timing of Olympic races has not always...

LinkedIn’s Job-Matching AI Was Biased. The Company’s Solution? More AI

 Originally published in MIT Technology Review, June 23, 2021. ZipRecruiter, CareerBuilder, LinkedIn—most of the world’s biggest job search sites use AI to match people with job openings. But the algorithms don’t always play fair. Years ago, LinkedIn...

South Florida Cops Used Facial Recognition in ‘Horrifying’ Scheme to Target Peaceful Protesters: Newspaper

 Originally published in Raw Story, June 26, 2021. During the George Floyd protests in South Florida, facial-recognition technology was deployed to identify protesters — who had committed no crimes – by the Broward County sheriff, and the...

8 Lessons from 20 Years of Hype Cycles

 Originally published in LinkedIn, Dec 7, 2016 As a VC at Icon Ventures and a twenty year veteran of productizing and marketing high tech for VMware, Netscape and others, I’ve always been fascinated by how new technologies...

Real-Time Machine Learning: Why It’s Vital and How to Do It

Organizations often miss the greatest opportunities that machine learning has to offer because tapping them requires real-time predictive scoring.

Remote-Control Robots and the Limits of AI

 Originally published in Wired.com, April 7, 2021. A growing number of robots are operated remotely, often by workers thousands of miles away. Could it be a job of the future? David Tejeda helps deliver food and drinks to...

Liftoff: The Basics of Predictive Model Deployment

  This article is based on the transcript of one of 142 videos in Eric Siegel’s online course, Machine Learning Leadership and Practice – End-to-End Mastery. Developing a good predictive model with machine learning isn’t the end...

Sharing Learnings About Our Image Cropping Algorithm

 In October 2020, we heard feedback from people on Twitter that our image cropping algorithm didn’t serve all people equitably. As part of our commitment to address this issue, we also shared that we’d analyze our model again for bias. Over the last...

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