Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
AI Success Depends On How You Choose This One Number
 Originally published in Forbes, March 25, 2024. To do...
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...
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...

Original Content

What’s the Government’s Role in Big Data Surveillance?

 What if predictive analytics could help prevent acts of terrorism? With so much at stake, should the government responsibly monitor data surveillance? If data privacy surveillance is the route to take, how should the government implement this? These provoking questions are brought to mind in an article posted on The Guardian. The article, “Little Privacy

Wise Practitioner – Predictive Analytics Interview Series: John Foreman of MailChimp

  In anticipation of his upcoming conference keynote at Predictive Analytics World Boston, “Problems, then Techniques, then Toys. Keeping Your Predictive Analytics Right-side Up,” we asked John Foreman, Chief Scientist at MailChimp,  a few questions about his...

Is Predictive Analytics Insidious? National Radio Interview

 Interviewing Eric Siegel on the radio, a Hollywood big wig introduced predictive analytics as insidious, ominous, very manipulative, Machiavellian, and Orwellian; “Big Brother is watching you.” Siegel countered with how prediction is good for the world. 15...

5 Reasons Predictive Analytics World for Workforce is Different – And Better

  If you follow the workforce analytics space, you may have read yet another article about moneyball and the innovative people analytics companies leading the way around using data to optimize workforce. There are certainly some fantastic and...

Should Employee Analytics “Go Fishing” or Solve Business Problems?

 Over the years, our firm has had many discussions with employers on the eve of a new talent analytics project. Often, it is the firm’s first deep-dive look at employee data. Sometimes we act as a strategic...

Wise Practitioner – Predictive Analytics Interview Series: Sameer Chopra of Orbitz

 In anticipation of his upcoming conference keynote at Predictive Analytics World Boston, “Blackjack Analytics: A Surprising Teacher from Which All Businesses Can Learn,” we asked Sameer Chopra, GVP of Advanced Analytics, Orbitz Worldwide, a few questions about...

Wise Practitioner – Predictive Analytics Interview Series: Jack Levis of UPS

 In anticipation of his upcoming conference keynote presentation, UPS Analytics – The Road to Optimization, at Predictive Analytics World San Francisco, we asked Jack Levis – Senior Director, Process Management at UPS, a few questions about his work...

Connecting the Experts with the Data Scientists

 “Can Machines Think?” was the cover of Time magazine a generation ago. The impetus was a face-off between world chess champion Gary Kasparov and IBM’s “Deep Blue” chess machine. The first match was won by us humans,...

Why analysts should master public speaking

 Industry leader and consultant Geert Verstraeten serves as program chair for Predictive Analytics World London. Click here for information about speaking at PAW London as well as 9 other annual PAW events. Granted, the fear of public...

Defining the Target Variable in Predictive Analytics- A Not so Easy Process

 Defining a target variable is one of the preliminary steps in building a predictive model. But is this really a simple and straightforward process. For example, I want to optimize insurance sales to existing customers on a...

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