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Some History Machine Learning Models, which have historically been referred to as predictive models, are not new. Any early practitioner in this field would emphasize that the two key deliverables of any model are as follows: its benefits to the business or organization Model Explainability (i.e. what is inside the model) The model benefits are […]
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By: Sam Koslowsky, Senior Analytic Consultant,
Harte Hanks
You’re finally upgrading to a top of the line smartphone. It has the features you desire, and you’re ready to pay for it. “Wait a minute,” the sales associate states. “You might want to consider an extended warranty. Good idea, you agree. “And, of course, there are those new designer phone holsters you may also […]
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By: Jeremy Fain, CEO and Founder,
Cognitiv
We humans like to think that we are at the top of the evolutionary hierarchy. However, it is increasingly becoming clear that algorithms can execute some tasks better and more judiciously than humans can, or ever will be able to. From board games to medical diagnoses to reforming the justice system, algorithms are outperforming humans […]
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By: Terry Miller, Global Digital Strategy and Business Development,
Siemens
For more from this author, attend his virtual presentation, Industrial Asset Optimization: Machine-to-Cloud/Edge Analytics, at Predictive Analytics World for Industry 4.0, May 31-June 4, 2020. For industrial firms to realize the benefits promised by embracing Industry 4.0, the access to clean, quality asset data must improve. Most of a data , scientist’s work, in any […]
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For more information on this topic, attend the virtual conference, Predictive Analytics World for Industry 4.0, May 31-June 4, 2020. So many things are changing rapidly as the world responds to the risk from coronavirus. We know that there is no such thing as “business as usual”, but what does that really mean? Some firms […]
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By: Dr. Jennifer Lewis Priestley, Executive Director of Analytics and Data Science Institute, Kennesaw State University and Dr. Robert McGrath, Chair of Health Management and Policy,
University of New Hampshire
This is part 4 of a 5-part series on university/corporate partnerships in analytics and data science. In addition to this article, Dr. Priestley will also present on this topic at Predictive Analytics World for Business in Las Vegas, May 31-June 4, 2020. For details about her session, “How Leading Enterprises Leverage Universities to Boost Analytical […]
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Like many of you, my focus during this crisis has been less on analytics and more about family, friends, etc. which on a more positive note seems to gain greater emphasis as we reassess our priorities. But the bombardment of news regarding this crisis certainly focuses on numbers in terms of providing a perspective of […]
