AI, Machine Learning, and the Basics of Predictive Analytics for Process Management - Predictive Analytics Times - machine learning & data science news

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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 examples? Machine learning, also known as predictive analytics, is when the computer learns from data how to make predictions. Data is not a bunch of dry facts or boring ones and zeros.

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