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.
The news has recently been filled with stories about large language models (LLM) such as ChatGPT and Bard — often referred to as generative artificial intelligence (AI) systems. You can test the
Large natural language programming (NLP) systems are making headlines thanks to the remarkable conversations in which they can now engage. Some of those conversations have convinced individuals they are, in fact, talking
The phrase “a picture is worth a thousand words” sounds like something William Shakespeare might have written; however, according to Gary Martin (@aphraseaweek), the idiom can be traced to more modern sources.[1]
The deeper we journey into the Information Age the more likely we are to find ourselves conversing with smart machines. For the technically-challenged among us, communicating with a computer can sound daunting.
Machine learning (ML) is a subset of artificial intelligence (AI). In recent years, however, ML has taken center stage in the business world. Bernard Marr (@BernardMarr), a strategic performance consultant, writes, “At
There is, and likely will remain, confusion about terms used in the field of artificial intelligence — terms like artificial intelligence (AI), machine learning, and cognitive computing. Having a basic understanding of
“Sometime in the not too distant future,” predicts Jordan Novet (@jordannovet), “your doctor could write you a prescription for a smartwatch and an app to track your health. Data will flow out
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
Interest in natural language processing (NLP) began in earnest in 1950 when Alan Turing published his paper entitled “Computing Machinery and Intelligence,” from which the so-called Turing Test emerged. Turing basically asserted
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