Saturday, April 05, 2014

Darwin Ecosystem's Tweetzup in action at Big Data TechCon 2014

Here is a demonstration that was filmed about tweetzup during the Big Data TechCon event this week in Cambridge.

Monday, January 27, 2014

Who reads tweets anyway?

Who reads tweets anyway?  Mostly brands and organizations hoping to understand what people think.  What does Twitter give people in return, other than the motivation to be followed? Not much, and Twitter fatigue could be felt sooner than you think.

Twitter is missing that content consumption by the consumer is essential to keep people committed to express themselves.  After all this is not Facebook where people can be extraverts and peeping Toms.

Twitter's one-way "take", and lame "give", needs to be revisited soon.  And their poor search or TweetDeck does not cut it.  Have you tried make sense of what's up by reading tweet searches line by line.  Fun right?

This is why I developed   I want to let anyone to know what's up in a meaningful way without having to read many tweets.  The collective emergence of trends focused on what you care about is more revealing than reading everything and wasting time.  Furthermore, you can set tweetzup alerts about keywords that are trending on the topics you follow.  And yes tweetzup can tweet the alert for you.

Let the machine service the human.  Not the other way around.  Sorry Twitter, but it is time to think about giving back to the people instead of expecting them to express themselves knowing very well that their individuality has next to zero chance of being noticed without a ridiculous amount of promotional effort.

That being said, I think that Twitter is also a great channel for targeted campaign or event communication.  In this context it serves as an open communication utility for a short period of time. And that is very useful.

Monday, January 06, 2014

Patterns and Collective Cognitive

When I first postulated in 2007 that the patterns from chaotic systems found in the natural world could also be found in the world of the human cognitive, I was only transposing principles from one closed environment to an other. The natural world is comprised of rules of physic interacting in the time-space continuum where we can observe, for example, weather patterns that are somewhat predictable partly because of measurable cycles such as the earth rotating around the sun for 365 days. The natural world’s clockwork model helps us establish some ground-rules and references that make, the seemingly chaotic interaction of elements, understandable and predictable. This is best demonstrated by Edward Norton Lorenz who was an American mathematician and meteorologist, and a pioneer of chaos theory. He discovered the strange attractor notion and coined the term butterfly effect.

But patterns are only meaningful if a conscious entity is there to observe them — the old philosophical principle of existence versus the reality we perceive. This perception is what drives our personal and collective awareness. From this simple observation one can extrapolate that our own cognitive capability, although immaterial and only real in our neural pathways, is in its own right a closed environment, and that information is the artifact that we create and consume in the same manner that the natural world creates matter and consumes it. Like the natural world, our own cognitive is subjected to time-space to build patterns that create and reinforce our perception of reality. Likewise, an event causes us to react physically in some cases, but also triggers expressions that are embodied in the form of information. This information, until the age of the internet, was curated with care in order to be recorded for prosperity. The alternative is for such information to be ephemeral and communicated orally to shape our evolving perception. Today this ephemeral information is now captured and becomes palpable. But more importantly, each expression can now be associated with other expressions through temporal proximity. This is no different than observing weather patterns being formed over time and becoming observable.

By applying a purely organic temporal correlation algorithm to information, we were able to show patterns of emerging themes, or keyword memes™, that are connected without any machine-based inference of meaning. This means that we can reveal targeted patterns that can be of interpreted by an intelligent entity - human or machine.

You can see keyword memes about Big Data on tweetzup to experience how we use our core awareness engine to show the movement trending tweets.

Happy New Year.