Enterra Insights

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

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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Big Data Analytics Promise Big Insights

“Companies are getting more data,” writes, Michael Fitzgerald, “in fact, the typical company doubles the amount of data it stores every two years. But more data isn’t necessarily a good thing. Data,

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Old MacDonald had Big Data — EIEIO

“Big data. If you haven’t yet heard that term dropped in casual conversation with other farmers,” writes Jim Langcuster, “you likely will — soon.” [“‘Big data’ will change the way you farm,”

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