Bradd C. Hayes is the active editor of this blog.
In Part 1 of this series, I discussed the views of several pundits who believe that big data has been overhyped, is descending into disillusionment, and should be done away with as
Big Data is getting plenty of attention nowadays. Too much attention according to some pundits. In fact, some pundits believe that there is a Big Data bubble that is going to burst.
According to two prominent innovation gurus, companies have pursued innovation using flawed models in the past. Columbia Professor Bill Duggan asserts that “the vast majority of the methods used to try and
Rick Neil from Percepture directed me to a great infographic (shown below) that was created by neolane (www.neolane.com). The infographic is entitled “Transforming Big Data into Actionable Insight.” In my discussions about
“Honey bees are fascinating creatures,” writes Ben Coxworth. “They live harmoniously in large communities, divided into different castes, with some of the worker bees heading out on daily expeditions to gather nectar and
“The sharp slowdown in U.S. manufacturing that began last spring appears to be over,” writes Don Lee, “setting the stage for moderate expansion in the factory sector in coming months — with
Financial Times‘ columnist Sebastian Mallaby asserts that “manufacturers using ‘big data’ are setting the scene for a revival” in the United States. [“American industry is on the move,” 8 January 2013] To
Looking back on 2012, Adrian Gonzalez observes, “Some companies took proactive action to define and implement supply chain risk management practices, many more did not.” [“Rethinking Supply Chain Risk Management,” Logistics Viewpoints,
Researchers at the Cognitive Computing Research Group at the University of Memphis claim that cognitive computing, like the Roman God Janus, has two faces. In the case of cognitive computing, they claim
At first glance, it appears that Gianfranco Zaccai, co-founder and president of the global design and innovation consultancy Continuum, is on a quest to rid the world of focus groups. “Think about
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