Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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...
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,...

Machine Learning

Specification Gaming: The Flip Side of AI Ingenuity

 Orginally published in Deep Mind, April 21, 2020. Specification gaming is a behaviour that satisfies the literal specification of an objective without achieving the intended outcome. We have all had experiences with specification gaming, even if not by this name. Readers may have heard the myth of King Midas and the golden touch, in which

8 Things That Algorithms Can Do Better Than Humans

 We humans like to think that we are at the top of the evolutionary hierarchy. However, it is increasingly becoming clear that algorithms can execute some tasks better and more judiciously than humans can, or ever will...

With Questionable Copyright Claim, Jay-Z Orders Deepfake Audio Parodies off YouTube.

 Originally published in Waxy, April 28, 2020 On Friday, I linked to several videos by Vocal Synthesis, a new YouTube channel dedicated to audio deepfakes — AI-generated speech that mimics human voices, synthesized from text by training...

Machine Learning Engineers Will Not Exist In 10 Years

 Originally published in Medium, April 28, 2020 The landscape is evolving quickly.  Machine Learning will transition to a commonplace part of every Software Engineer’s toolkit. In every field we get specialized roles in the early days, replaced...

Whole Foods is Reportedly Using a Heat Map to Track Stores at Risk of Unionization

 Originally published in The Verge, April 20, 2020 The heat map apparently uses more than two dozen different metrics to track which Whole Foods stores may unionize. The heat map focuses on monitoring three main areas: “external...

Industrial Asset Optimization: Connecting Machines Directly with Data Scientists

 For more from this author, attend his virtual presentation, Industrial Asset Optimization:  Machine-to-Cloud/Edge Analytics, at Predictive Analytics World for Industry 4.0, May 31-June 4, 2020.  For industrial firms to realize the benefits promised by embracing Industry 4.0,...

Data Science Strategies for Banks and Credit Unions During COVID-19 and Beyond

 For more information on this topic, attend the virtual conference, Predictive Analytics World for Industry 4.0, May 31-June 4, 2020.  So many things are changing rapidly as the world responds to the risk from coronavirus. We know...

4 Steps to Ensure Your AI/Machine Learning System Survives COVID-19

 Originally published in KDNuggets, April, 2020. Many AI models rely on historical data to make predictions on future behavior. So, what happens when consumer behavior across the planet makes a 180 degree flip? Companies are quickly seeing...

AI is an Ideology, Not a Technology

 Originally published in Wired.com, March 15, 2020. At its core, “artificial intelligence” is a perilous belief that fails to recognize the agency of humans. A leading anxiety in both the technology and foreign policy worlds today is...

“If We Place Graduates Into the Private Sector, We Failed”: Why Universities and Companies Need to Rethink the Role of the PhD

 This is part 4 of a 5-part series on university/corporate partnerships in analytics and data science. In addition to this article, Dr. Priestley will also present on this topic at Predictive Analytics World for Business in Las...

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