Group items tagged

You may think you choose to read one story over another, or to watch a particular video rather than all the others clamouring for your attention. But in truth, you are probably manipulated into doing so by publishers using clever machine learning algorithms

" Daniel Pink has done it again. Last time, he wrote about left and right brains and this time it's motivation. He neatly sums up recent advances in science and gives lots of practical examples of how these play out. Fascinating reading and highly applicable."

"Daniel Pink has done it again. Last time, he wrote about left and right brains and this time it's motivation. He neatly sums up recent advances in science and gives lots of practical examples of how these play out. Fascinating reading and highly applicable."

Scientists have discovered how to "read" minds by scanning brain activity and reproducing images of what people are seeing - or even remembering.

If you're out on the hunt for gathering insightful knowledge on AI, these two books are definitely going to be your food for thought, according to Bill Gates.

Read your favorite RSS or Atom feeds in your email inbox daily rather than having to check a separate RSS feed reader or a feed reader website.

How do you meet the needs of your business and create a social intranet that people actually want to use? Read our 5 stage process to help you simply succeed.

What if you could structure the content of a web page based on how humans actually read those pages, Tung asked back in 2008 when he founded Diffbot?

Worth downloading and reading this paper. One abstract: "The ultimate goal is to enable data scientists,business analysts and other users "to extract the most information they can out of data as quickly as possible....For the business, we need answers now. The market is fixing the pace, so we have to give the best answer we can at the right time."

"klink through Knowledge board to article written by Richard McDermott in 2000, still vey useful and valid points - worth a read"

"Laurie Lock Lee's home page - makes for very interesting reading..."

"Laurie Lock Lee's home page - makes for very interesting reading..."

"Useful pre-workshop reading - Wikipedia explanation of Neurological levels, a model that we will use as one way of understanding how individuals / groups learn."

Public collaboration, network effects, crowdsourcing - call it what you will, the read/write web is based largely on projects where the value of the whole is greater than the sum of countless parts. Those parts are contributed by individual people all over the world, often for free. It's world-changing stuff, but can businesses make effective use of this paradigm?

Must read book for anyone interested in why ideas spread. They have all these components..\n\nSimple\nUnexpected\nCredible\nConcrete\nEmotional\nStories

A must-read article for anyone interested in innovation in large corporations

Probably not new to the Km "old timers", but if you haven't come across the SECI model that was developed by Ikujiro Nonaka and Hirotaka Takeuchi in 1996, then worth a read. devised the SECI model in 1996. Often referred to as the "knowledge spiral," SECI stands for Socialization, Externalization, Combination and Internalization, and is heavily featured in the KM Institute's "Knowledge Manager Certification" programme.

In line with fears often read about in the media, both anti-killer robot activist Dr. Sharkey and Brandeis University's Dr. Michael Bukatin believe that autonomous machines, either superintelligences fighting themselves and obliterating us in the process or rampant autonomous armed conflict, pose a legitimate threat. Another thought is that AI aren't evil (and never will be); instead, it's the humans behind the AI that are unpredictable and often untrustworthy, with short-sighted aims such as financial and political gains. Dr. Michael Shermer sees the likeliest risk of near-future AI in the near future involving "evil humans manipulating AI toward their ends, not evil AI itself, as no such thing will develop."

"If you're anything like the average Internet user, you probably didn't spend the estimated 244 hours it would take to read every privacy policy for every website you visited last year. That's exactly why a team led by Carnegie Mellon University just launched an interactive website aimed at helping users make sense of their privacy on the web."

Interesting read, but misses the 2 key factors: Lack of 'embedding knowledge sharing in the day to day business process instead of separate from it and the 'KM' title itself . If you have to explain it to a manager or engineer etc, you have a problem.