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Data Visualization is a method of presenting information in a graphical form. Good data visualization should appear as if it is a work of art. This intrigues the viewer and draws them in so that they can further investigate the data and info that the graphic represents. In this post there are 15 stunning examples of Data Visualization that are true works of art.

This presentation’s content was based on these two original posts: “Design Thinking is Killing Creativity” and its follow up post “How Can We Fix the Problems of Design Thinking“. Do have a look as the originals if you would like some more background information. For the purposes of this presentation, I took the opportunity to clean up the content and add a few new details.

Intention Web Information that provides explicit predictions of who will do what next, although it’s not happened yet.  Examples: Upcoming.org, Facebook events, Plancast. Update: Silicon Valley Insider writes about Tweetmeme, Topsy, Sency, OneRiot People can connect to each other, improving experience. Businesses can provide a more contextualized experience for customers or prospects using Social CRM Explicit intentions may not be true, the future is always uncertain. Companies can barely keep up with real time web –let alone predict the future.

You can think of building your own Personal Learning Network as an attempt to create this “learning loop” for yourself using the tools at your disposal. Instead of a bunch of teachers selecting challenging information for you, the Internet gives you access to a world of bloggers, tweeters, speakers, photographers, videographers, and colleagues who will teach you anything you want for nothing more than the price of your time and attention. All they ask of you is to think about it, question it, master the skills, and respond in a thoughtful way. You can participate in this conversation by writing your own blog, tweeting, organizing sources, speaking, and teaching others in the way that works best for you.

When people can learn what others think, the wisdom of crowds may veer towards ignorance.

What if a different source of value is becoming more powerful? We believe there's good reason to think that value is shifting from knowledge stocks to knowledge flows. Put more simply, we believe that flows trump stocks.

To succeed now, we have to continually refresh our stocks of knowledge by participating in relevant flows of new knowledge. But there are two challenges. First, knowledge doesn't flow very easily, especially if it is tacit rather than explicit knowledge.

To keep it simple, think of tacit knowledge as the "know how" rather than the "know what."

I was fortunate enough to get a chance to sit down with John Hagel at last week’s Web 2.0 Summit and discuss a few big-ticket emerging trends: (1) the rise of the “real time” web, (2) the move from the information web (the web of documents) to the social web (the web of people) and (3) the continued promise of mobile devices.