Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...

Bill Luker Jr.

Data Reliability and Validity, Redux: Do Your CIO and Data Curators Really Understand the Concepts?

 Here are two recent entries on the big but neglected issue of data reliability and analytic validity (DR&AV), from the vast commentariat that is LinkedIn: One of my complaints with hashtag#bigdata, is there isn’t enough focus on getting the right kind of data. We deal with this in healthcare all the time. Much of our

New Book: Stephen Few’s “Big Data, Big Dupe” Smackdown

 Five years ago, in 2013, two emerging advocates for Big Data raised its public profile to the highest level it had enjoyed by then, and possibly since. They punched through the oblivion of anyone who needed to...

The “Data Science” of Computer Science and IT Is Not the Only Data Science

 For reasons perhaps having to do with “siloed thinking” or “not-invented-here” syndrome (things that can affect all teams from time to time), many participants on the Big Data Management (BDM) and Big Data Analysis (BDA) scene have...