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.
There is a well-known idiom cautioning against throwing good money after bad. John Pavlus (@johnpavlus) writes, “Any student of economics knows this basic rule, which states that rational agents should not take
Jonathan Vanian (@JonathanVanian) reports, “Artificial intelligence is so important for business success, executives said in a new survey, that most of them fear their companies will fail without it.”[1] At the same
Good decisions lead to good outcomes — or as the late Mahatma Gandhi once stated, “The future depends on what you do today.” Every day corporate leaders are required to make an
The term “artificial intelligence” (AI) invokes both hope and fear. The hope is AI will help us solve challenges like global warming, cancer, and feeding the world. The fear is AI will
Data is now considered the world’s most valuable resource — displacing oil for that title. Unlike oil, whose supply is diminishing, the pool of data grows every second of every day. The
Artificial Intelligence (AI) has become a science fiction bogeyman and, for some people, it generates a sense of unease about the future. Most of that unease is about artificial general intelligence platforms
Today’s businesses must deal with global complexity and oceans of data while making decisions faster than at any previous time in history. Fortunately, cognitive technologies are maturing just in time to help.
The late Peter F. Drucker, an Austrian-born American management consultant, educator, and author, once stated, “Whenever you see a successful business, someone once made a courageous decision.” Bain analysts, Michael C. Mankins
Every now and then I run across articles listing resources for people interested in learning more about artificial intelligence (AI), cognitive computing, and machine learning. And, on occasion, people contact me about
Many articles written about artificial intelligence (AI) actually focus on machine learning (ML) and authors often use the two terms interchangeably. Chris Meserole (@chrismeserole), a fellow in Foreign Policy at the Brookings
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