Enterra Insights

Month: February 2014

In this blog, we discuss cognitive computing and other cutting-edge technologies with a focus on supply chain management, autonomous decision-making, and innovation. Other topics of discussion include digital enterprise transformation, autonomous intelligent enterprises, emerging technologies, and global trade. 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.

Categories

Technology and Education

In several past articles on education, I’ve mentioned the work being done by the Clayton Christensen Institute for Disruptive Innovation on a concept it calls “blended learning.” The Institute defines “blended learning as a

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Innovation: Geniuses and Perseverers

In past posts about innovation, I’ve discussed the so-called “myth of the lone genius.” Creativity gurus point out that even acclaimed inventors, like Thomas Edison, were surrounded by a talented team. Although

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Global Supply Chain Risk Management

If you’ve ever watched ABC’s Shark Tank, you have probably heard one or more the sharks (i.e., angel investors) press entrepreneurs about reducing the per piece cost to make the items they

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3D Printed Food

In a post I wrote last year entitled “Trekkies Rejoice! Food Replicators are Coming Soon,” I discussed how culinary schools, restaurants, and NASA are experimenting with 3D printers that use edible materials,

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Food Security and Climate Change

At the end of a previous post entitled “Resilience in the Food Supply Chain,” I indicated that I would write a follow-on article discussing current risk management efforts in the food supply

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The Age of Predictive Business

During the run-up to 2012 U.S. presidential election, a 34-year-old statistician named Nate Silver “used an elaborate series of calculations to correctly call the outcome in all 50 states.” At the time,

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Big Data and the Pharmaceutical Industry

“Big data has grown to prominence in the pharmaceutical market over recent years,” writes Lucy Hill, “turning into a key technology for businesses.” [“Big data becomes more prominent in pharma industry,” KL

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