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For Managing Business Uncertainty, Predictive AI Eclipses GenAI
  Originally published in Forbes The future is the ultimate...
AI Business Value Is Not an Oxymoron: How Predictive AI Delivers Real ROI for Enterprises
  Originally published in AI Realized Now “Shouldn’t a great...
How To Un-Botch Predictive AI: Business Metrics
  Originally published in Forbes Predictive AI offers tremendous potential...
2 More Ways To Hybridize Predictive AI And Generative AI
  Originally published in Forbes Predictive AI and generative AI...
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9 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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