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.
In the Oscar-winning film “Her,” the character played by Joaquin Phoenix falls in love with his smartphone’s artificial intelligence personal assistant named Samantha (voiced by Scarlett Johansson). In real life, Ryan Daws
“It’s happened to us all at one point or another,” writes Melanie Pinola, “the dish you’ve cooked is too salty, too spicy, or perhaps just too…meh. The key to correcting — and
According to Luke Dormehl, “The secret of human brains is pattern recognition.” [“The Algorithm That Thinks Like A Human,” Fast Company, 11 November 2013] I’m pretty sure that the human brain holds
“We all know how difficult it can be using a text term to search for multimedia content online,” writes Darren Quick. “Many Internet radio sites, such as Pandora, pay experts in music
An article in the Wall Street Journal reports, “Surging prices for food staples from coffee to meat to vegetables are driving up the cost of groceries in the U.S., pinching consumers and
“The advances we’ve seen in the past few years — cars that drive themselves, useful humanoid robots, speech recognition and synthesis systems, 3D printers, Jeopardy!-champion computers — are not the crowning achievements of
In Part 1 of this article, I discussed the widespread concern that the growth of artificial intelligence systems will create a permanent crisis in unemployment as they displace more and more workers.
To what, you might ask, does the term “Tetherless World” refer? Currently, the Tetherless World is mostly a concept. According to Wikipedia, It involves a world in which information can be accessed
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,
“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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