Machine Learning Times
Machine Learning Times
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Three Best Practices for Unilever’s Global Analytics Initiatives
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Getting Machine Learning Projects from Idea to Execution
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Eric Siegel on Bloomberg Businessweek
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Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...
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4 years ago
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, the access to clean, quality asset data must improve.  Most of a data , scientist’s work, in any vertical, involves cleaning and contextualizing data, or “data prep”.  In the industrial segment, this remains true, and, considerably more challenging. Enterprise-wide data ingest platforms tend to yield inefficient, incomplete data necessary to optimize assets at the application layer.  In order to improve this,

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