Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
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,...
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6 years ago
AI, Machine Learning, and the Basics of Predictive Analytics for Process Management

 APQC Chair Carla O’Dell interviews Predictive Analytics Times Executive Editor and Predictive Analytics World Founder Eric Siegel about predictive analytics and machine learning’s application to process management. Dr. Siegel will be speaking at APQC’s Process & Performance Management Conference this October. Note: This is a transcript of an audio interview. Carla O’Dell: Welcome Eric! Let’s jump in and do some of the basics first. We know that big data and predictive analytics are essential for advanced technologies like machine learning and artificial intelligence. Can you talk about why and how these things fit together and give us some

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