Abstract
Now that we have defined the basics of the data-to-learning-to-action process, it’s time to dive into the details of its intermediate steps. And while birds do it, we do it, and even educated machines can now do it, our focus, of course, will be on the elements of this universal process that specifically pertain to its execution within organizations.
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Adaptive fuzzy networks and their applications are described in detail in Flinn, Steven, and Naomi Moneypenny, “Adaptive Recombinant Systems”. World International Property Organization, publication no. WO/2005/054982 (June 16, 2005).
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The Microsoft Graph is a current notable enterprise example: https://developer.microsoft.com/en-us/graph/docs/concepts/overview
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Pariser, Eli. The Filter Bubble: What the Internet Is Hiding from You, Penguin Press (New York, May 2011).
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Bang, Dan, and Chris Frith, “Making better decisions in groups”, Royal Society Open Science, August 2017. http://rsos.royalsocietypublishing.org/content/4/8/170193
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© 2018 Steven Flinn
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Flinn, S. (2018). Data-to-Learning-to-Action. In: Optimizing Data-to-Learning-to-Action. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3531-7_3
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DOI: https://doi.org/10.1007/978-1-4842-3531-7_3
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