The Most Innovative Age in Human History
“Many people believe that the future of mankind is bleak because the planet can’t sustain its growing population,” writes Vivek Wadhwa, a Fellow at the Arthur & Toni Rembe Rock Center for
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.
“Many people believe that the future of mankind is bleak because the planet can’t sustain its growing population,” writes Vivek Wadhwa, a Fellow at the Arthur & Toni Rembe Rock Center for
“A Singularity has no business model,” writes Science fiction author Bruce Sterling, “no major power group in our society is interested in provoking one, nobody who matters sees any reason to create
The world is a complicated place that only gets more complex as new knowledge is created. How often have you listened to someone talking about a subject you are unfamiliar with and
In his most recent State of the Union address, President Barack Obama stated, “Last year, we created our first manufacturing innovation institute in Youngstown, Ohio. A once-shuttered warehouse is now a state-of-the
In Part 1 of this series, I discussed the importance of asking good questions at the beginning of the innovation process. Once good questions have been asked and the problem framed, serious
“Innovation is a particularly sticky problem because it so often remains undefined,” writes Greg Satell. “We treat it as a monolith, as if every innovation is the same, which is why so
“Big Data can present companies with big challenges,” writes Elyse Dupré and Melissa Mazza, from Direct Marketing News, “especially when there’s a gap between what Big Data is and how it can
With all of the hype surrounding big data, we should remind ourselves that what is most important is how it can be used to help us better understand ourselves, the decisions we
Applied mathematician and network scientist Samuel Arbesman, a senior scholar at the Ewing Marion Kauffman Foundation and a fellow at the Institute for Quantitative Social Science at Harvard University, offers a unique
Since I last focused an article on open innovation (see The Ups and Downs of Open Innovation), there have been a number of articles written on the subject. Some pundits believe that
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