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"Given that companies have broader needs that go beyond the application area of deep learning, you have to consider the technical and organizational complexity being imposed on your enterprise users by having to adopt yet another set of tools."
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Decision Intelligence News
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Decision Intelligence News
AI/BI/CI/DI: Decision intelligence (DI) solves the world's most complex problems by connecting actions to outcomes. It connects collaborating human decision makers to knowledge and also to technologies like machine learning, AI, deep learning, visual decision modeling, complex systems modeling, big data, predictive analytics, UX design, statistical analysis, business intelligence, business process management, causal reasoning, evidence-based analysis, and more. See https://en.wikipedia.org/wiki/Decision_Intelligence. For an overview, see the webinar at http://youtu.be/XRTJt3bVCaE, http://www.lorienpratt.com, and the Decision Intelligence group: http://www.linkedin.com/groups?gid=205078. Also, my company offers DI and machine learning consulting services. See http://bit.ly/1X8O2zF to learn more. Don't miss the latest DI news! Sign up at subscribe.decisionintelligencenews.com. Curated by Lorien Pratt |
Figure 3, shown here, speaks primarily to the technical aspects of providing deep-learning tools for the enterprise. What's missing upstream of the applications is the business analysis and understanding that must be brought to bear on the issue(s) for which you're seeking resolution, e.g. "what are we trying to accomplish, why do we need it, how best can we implement it?
As well, there's a huge downstream component missing, and that's the decision analysis that requires more wisdom than mere deep learning can provide. Make sure you're contemplating not merely the software stack, but also the entire workflow.