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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7 years ago
Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Richard Semmes at Siemens PLM

 In anticipation of his upcoming Predictive Analytics World Manufacturing Chicago, June 19-22, 2017 conference presentation, Closing the Loop with Predictive Product Performance, we interviewed Richard Semmes, Senior Director, R&D at Siemens PLM. View the Q-and-A below for a glimpse of what’s in store at the PAW Manufacturing conference. Q: What are the challenges in translating the lessons of predictive analytics from other verticals into manufacturing? A: The objective for predictive analytics in manufacturing is really to enable actionable business decisions that impact the way you design, build, or service your products.  The most successful practitioners of predictive analytics in manufacturing use continuously updated

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