Convince & Convert
APRIL 15, 2016
When you look up a person on Google, say “Barack Obama,” Google will refer to its data bank (the Knowledge Graph) and will display everything about Obama. Google’s Knowledge Graph is its own pool of data, where all the information is collected from authoritative sites. The search results are presented based on a user’s search patterns.
Bill Hartzer
APRIL 8, 2011
Wikipedia’s definition of QR Code is as follows: A QR code (short for Quick Response) is a specific matrix barcode (or two-dimensional code), readable by dedicated QR barcode readers and camera phones. The code consists of black modules arranged in a square pattern on a white background. QR really means “Quick Response&#.
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Buzz Marketing for Technology
JUNE 27, 2008
data center. Stewart Mader compares organizational and public wikis (Wikipedia vs. enterprise wiki), offers several examples of organizations actively using wikis today, and outlines the main business drivers and use cases inside organizations. change management. citizen journalism. Clay Shirky. collaboration. Collaborative Technology.
Buzz Marketing for Technology
JULY 27, 2008
And, of course, we have data as well as ample anecdotal evidence that Google can make you "smarter" (in the sense of being knowledgable in deep and useful ways) about how you think about things, not "stupid" (quoting from the title of the Carr piece), and it can do so in ways that go beyond just allowing you access to more facts.
Mindjumpers
JUNE 19, 2014
Attending the European Conference of Information Systems in Tel Aviv last week, I was happy to find that areas such as data visualization, predictive analytics, social CRM and ROI etc found their way into the conference. Facebook data was collected from over 60k users and 1.5m Tracing Patterns in Online Social Media Artifacts.
Buzz Marketing for Technology
JULY 11, 2008
MediaWiki - the platform that Wikipedia, amongst many other wikis, runs on - is probably the best of the free self-hosted options. Let’s hope they’ll get it up and running asap again and not too much of the 1.000.000 users data will be lost… July 9, 2008 at 5:05 pm. See Wiki patterns for more on this.
Buzz Marketing for Technology
JUNE 27, 2008
Of course, as you can see in the second map above, “there are obvious biases in the data, with 15- to 30-year-olds being by far the biggest groups of users. Geographically, the majority of users were in North America, Europe and Japan; large areas of the developing world provided no data at all. Here is the second version.
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