Going Long with Big Data
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
Bradd C. Hayes is the active editor of this blog.
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
In two recent posts (The Future of Big Data, Part 2 and Part 3), I discussed some observations about the connections between big data and marketing made by marketing technologist Scott Brinker.
Richard Florida, Co-Founder and Editor at Large at The Atlantic Cities, recently penned an article that focuses on two of my favorite topics innovation and cities. [“Innovation and the Wealth of Cities,”
A year ago Lisa Arthur reported, “Marketing is now a fundamental driver of IT purchasing, and that trend shows no signs of stopping – or even slowing down – any time soon.”
In previous posts about big data and targeted marketing, I have repeatedly pointed out that the elephant in the room is not Hadoop but issues involving privacy and access to consumer information.
Ray Gallagher reports that defense contractor Raytheon “has secretly developed software capable of tracking people’s movements and predicting future behaviour by mining data from social networking websites.” [“Software that tracks people on
Recently, the blogsite Riskviews: Commentary on Risk and ERM posted an article entitled Five components of resilience — robustness, redundancy, resourcefulness, response and recovery. [24 January 2013] The post was “adapted from
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
“There’s an ongoing debate among neuroscientists, cognitive scientists, and even philosophers,” writes George Dvorsky, “as to whether or not we could ever construct or reverse engineer the human brain. Some suggest it’s
In yesterday’s post, I cited a number of pundits who worry that no clear model has emerged as the obvious candidate for what follows globalization. I noted that fifteen years ago Daniel
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