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...
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4 years ago
Wise Practitioner – Predictive Analytics Interview Series: Rajagopalan Chandrasekharan at General Electric

 By: Steven Ramirez, Conference Chair, Predictive Analytics World for Industry 4.0 In anticipation of his upcoming conference presentation at Predictive Analytics World for Industry 4.0 May 31-June 4, 2020, we asked Rajagopalan Chandrasekharan, Senior Engineer at General Electric, a few questions about their deployment of predictive analytics. Catch a glimpse of his presentation, Engineering Analytics, and see what’s in store at the PAW Industry 4.0 conference in Las Vegas Q: What are the challenges in translating the lessons of predictive analytics from other verticals into manufacturing? A: Data. While much of the other verticals deal with plenty of data, manufacturing

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