Category Archives: Blog

Big Data Conversion Chart & Functional Relevance

A Petabyte is a lot of data, not a generic bite from your pets























My favorite quotes from this post are:

“Data has no inherent value. To be useful, data must flow to agents who will ultimately process, analyze, and synthesize it to produce information that drives decisions. The recent conversation in DoD has focused on what is referred to as the “big data problem,” that is, since we don’t know what’s important in the data being collected, everything must be saved. But this is much harder than it sounds.”

“Data is not important. It’s the information that can be gleaned from the data that matters. The old data paradigm emphasizes precision: save only what you consider to be relevant at the time the data is collected. This approach works only so long as you are dealing with a more or less static context where “relevance” can be readily established.”

Relevance is not an attribute. It’s a relationship, or a complex mapping that has sources, targets, and attribute values on the link. Consider this abstract function:

Relevance = F(source, content, context; me, my role, my situation, my company; the environment and set of competitors and space of potential actions).

Because of these considerations, you can see why relevance is elusive and non-comparable across markets, uses, and situations. THerefore aggregate sums and statistics on relevance are even more problematic.


Robert Rauschenberg on Wikipaintings for Art in Action

This is a great website that has artists’ works with categories of art periods and techniques to allow you to see more detail of how artists contributed to genres.

WikiPaintings Click Here


Intro in classroom (15 min)

  1. Show off you 3 selected images (or text) that you brought in.
  2. Hand in your single sheet of paper from the homework assignment (with names)
  3. Select a few students: “It comes to my mind as X”
  4. Select a few students:  Why did you choose those images?
  5. Show of hands: How many of you selected images of people? why?
  6. How would you describe the relationship between those images?
  7. How do you feel about the “coherence” between them?
Create your masterpiece (30 min)
Closing Discussion (15 min)
  1. What did you notice about your image selection vs. rest of class?
  2. Why did you choose the painting style you did, on top of your images?
  3. What is the different between your point of view on society’s on your topic?
  4. Is it as ‘expected’ or unusual or controversial?  Why?
  5. People are so distracted with so many things, why would they stop to look at your work?
  6. Do you think it “pushed further” in the direction you intended?
  7. If you had to do it all over again, what images would you choose and why?
  8. Who’s painting in the room do you admire most? Why?
  9. What can you learn from looking at it?
  10. Of all these ideas on the lesson, which are most important to you?
  11. How can you apply those ideas to other endeavors, other classes?
Rauscheberg “Combines” are like our Web 2.0 “Mashups” of today. We mix different graphic design elements, different data sources,
and different user interface elements to make new “fun” destination sites or useful online tools or games.   Some cool examples:

Crowdsourcing and co-creation

This is nice graphic that explains some relationship across co-creation and crowdsourcing. Interestingly, the social media notion of UGC (user generated content) could be labeled “crowd generated content” and find its way into this umbrella. Co-creation is a great way to develop mutually beneficial relationships between brands and consumers. Engaging in consumer co-creation establishes an ecosystem that encourages interaction. Through these interactions, businesses are able to gain valuable insights, of which can be applied to various aspects of the business- be it for product development, marketing or communication strategies (Source:


Infographic source:


Crowdsourcing Umbrella infographic
Crowdsourcing Umbrella infographic