Big data has Big flaws

Big data fractal

As more and more science-fiction becomes reality (talking phones, self-driving cars…) the more and more we expect machines to understand and think for us. But that ‘singularity’ is still at least 30 years away.

In the meantime, Matti Heikkonen points out that ‘big data’ analysis is very real already and a powerful tool for competitive advantage and decision-making… but the final decisions are still best left to humans.

Human insights

While data can give clues to what is happening, it takes humans to discover why it is happening.


You are learning wrong [quiz]

Woman with thoughts

It is estimated that 2/3 of us think more in words & logic and 1/3 think more in images & concepts.

It’s useful to know which of these camps you are in so that you can help yourself to succeed when studying or trying to learn something new. Knowing your type becomes even more important when someone of the other type is trying to teach you!


Hustling fate to win the ‘right place, right time’ game

Right place right time cityscape

Wouldn’t it be nice to find success in your career by happening to be ‘in the right place at the right time’?

According to network scientist Ron Burt, your best chance is to hang around the places that are most likely to become ‘right’, and those elusive places are the ‘structural holes’ in networks of people.

There are always certain groups within a network that tend not to mix due to their different cultures. Yet it is that very mixing of different viewpoints that more often sparks off innovative ideas. So this creates an opportunity for you to bridge these gaps in networks to create a new possibility of innovation.

Open your network

I like how journalist Michael Simmons recently took a fresh look at Steve Jobs’ success at Apple. He found it was less about his personality quirks and more about how he joined-the-dots in the right places (between diverse communities and viewpoints).

What’s more, you can replicate this yourself.


Exciting milestone release – creating the Global Brain!

We are very excited to share our milestone release, which sows the first seeds in our ‘global brain’ vision. 

People abstract


New peer knowledge-sharing feature 

Knowledge is profoundly social and comes from people, not machines. We’re proud that our intelligence engine finds and suggests information ‘out there’ that’s specifically relevant to your Thought Canvas. But where we really want to go is person-to-person suggestions – the sharing of human know-how from a global brain.

We have started moving our intelligence engine into its next stage of evolution – sharing the knowledge built up within the Thought Canvases created between the people who created them. Our intelligence engine can now make suggestions relevant to your Canvas from the connections your colleagues, friends, or classmates have made on their Canvases.

Group Knowledge Sharing

Our vision is to enrich human life by empowering the world with the ability to advance all critical thinking and to apply previously unforeseen insights.

A common barrier to achieving these new ‘Aha! moments’ is that you don’t know what questions to ask or who to ask them to. We are building a bridge over this barrier by adding contextual intelligence into our platform’s social layer.

You can now create groups or trust communities within InsightNG and add in the group’s members. You no longer need to know who to talk to as the intelligence engine will take care of that automatically, in the background. It’s still people helping people; we are just simplifying the process. (more…)