In this blog, we discuss cognitive computing and other technologies with a focus on supply chain management and innovation. Other topics of discussion include digital enterprise transformation, marketing, the Internet of Things, and smart cities. Our goal is to advance the public discussion about how cognitive computing and other advanced technologies affect the world in which we live.
Bradd C. Hayes is the active editor of this blog.
Christine Hassler (@ChristinHassler), a life coach and member of Generation Y (i.e., a Millennial) told Meagan Parrish, “The generational divide is the biggest diversity issue facing the workforce — even bigger than
Gregory Unruh (@gregoryunruh), the Arison Group Endowed Professor at George Mason University, believes the time has come for businesses to start making the kinds of carbon reduction commitments that governments are making.
No manufacturer wants to suffer decreased profit margins as a result of shipping delays that can result in product time-to-market and retailer chargebacks. Sometimes retailer chargebacks are the result of perturbations associated
Nearly 4 billion people in the world are struggling at the bottom of the economic pyramid. Sixty percent of them live in India and China. That’s both the bad news and the
When David A. Bell wrote the hit tune “Stormy Weather,” he had love rather than supply chains on his mind. Nevertheless, supply chain risk managers could well be singing, “Life is bare,
Mae West reportedly stated, “Too much of a good thing can be wonderful.” While that may apply to some areas of your personal life, it certainly doesn’t apply to business inventory. Having
It would be foolish to argue that some jobs now being performed by humans aren’t going to be lost to technology (be it hardware (e.g., robots) or software). One of the motivations
To succeed in the world you have to understand the world. That’s a tall order since the world is in a constant state of flux. It’s one reason that analysts are always
“When you think of science, technology, engineering and mathematics, you might think of high tech fields like Nanotechnology or microchip processing, but more and more, these days they’re starting to show up
In Part 1 of this article, I noted that there are five principal ways that machines learn. They are: Supervised learning — where you teach it Unsupervised learning — where you let
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