Machine Learning Times
Machine Learning Times
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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...

Machine Learning

Russia Uses A.I. to Spread Disinformation About Invasion on Ukraine

 Originally published in Marca, Feb 3, 2022. For over a decade, Russia has been at the forefront of disinformation farms that spread all over the world. Their main goal is to destabilize countries and meddle with election processes where they have a certain level of interest. But using technology to create artificial intelligence is a whole

Paradise Lost: Art Created by AI Is Ineligible for Copyright Protection

 Originally published in JDSupra, March 3, 2022. The US Copyright Office Review Board (“Board”) rejected a request to register a computer-generated image of a landscape for copyright protection, explaining that a work must be created by a...

Good News About the Carbon Footprint of Machine Learning Training

 Originally published in Google AI Blog, Feb 15, 2022. Machine learning (ML) has become prominent in information technology, which has led some to raise concerns about the associated rise in the costs of computation, primarily the carbon footprint,...

Podcast: Survey Results Show that Models Are Rarely Deployed – a Failure in Machine Learning Leadership

  Welcome to the very first episode of Machine Learning Times Executive Editor Eric Siegel’s podcast, The Doctor Data Show. Click here for all episodes and links to listen on your preferred platform. Models Are Rarely Deployed – an...

AI Hype: the Good, the Bad, and the Ugly

 The Good: American economist Robert Shiller wrote of economic bubbles in his best-selling book, Irrational Exuberance. Shiller illuminates “why it is so difficult for smart money to profit by betting against bubbles.” He writes that “psychological contagion promotes a...

Models Are Rarely Deployed – an Industrywide Failure in ML Leadership (Poll Results)

  Originally published in KDnuggets. The latest KDnuggets poll reconfirms today’s dire industry buzz: Very few machine learning models actually get deployed. In this article, I’ll summarize the poll results and argue that this pervasive failure of...

AI in Health and Medicine

 Originally published Nature Medicine, Jan 20, 2022. Abstract Artificial intelligence (AI) is poised to broadly reshape medicine, potentially improving the experiences of both clinicians and patients. We discuss key findings from a 2-year weekly effort to track...

Sharing Learnings From the First Algorithmic Bias Bounty Challenge

 Originally posted on Twitter Engineering, Sept 21, 2021. In October 2020, people on Twitter raised concerns that the saliency model we used to crop images didn’t serve all people equitably. Shortly thereafter, we published our algorithmic bias assessment which...

Amazon Reimagines In-Store Shopping with Amazon Style

 Originally published in Amazon News/Retail, Jan 20, 2022. Our first-ever physical apparel store offers a personalized, convenient shopping experience where Amazon’s technology and operations make it easy for customers to find styles they love at great prices....

IRS Will Require Facial Recognition Scans to Access Your Taxes Online

 Originally published in GIZMODO, Jan 19, 2022. Editor’s note: This article has been updated to clarify that you can still file and pay taxes without logging into an IRS account or providing biometric data. This contradicts information...

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