Insight, the counter factual to what we know

dot dot dot

A belated response to a package I unexpectedly left for a friend who apologized for not acknowledging its arrival sooner. ended with

” more importantly , I am at a loss for words.  Truly I don’t know what to say . ”

My return reply was this:

Its ok,

“it’s possible to talk about something and have the words themselves not be very telling”

associations ..the dog that didn’t bark?
I stole the quote, but it’s applicable
We live in strange times, and life is strange.
Obviously i was feeling a bit spunky…just looking at the word, makes me laugh.

to exchanges robbed of words but positive sentiments
you are very welcome.

His response:

“Riddle me this.”

I share this as example of human to human conversations.
There’s no chance that a cheeky chatbot would have written such a response. It’s why people are less predictable, making their every move less certain and the exciting part–capable of learning–both to be good or to be bad.

This was my reply.

riddle suggests you want an answer,
don’t have a personal one,
here’s what I’ve been reading and thinking
One. Roger Schank’s latest blasts courtesy reminder from another cognitive scientist acquaintance I made recently:
(Roger writes some great pieces on this…if you find it interesting as I do, here’s another series
Two, the dog that doesn’t bark? Shorthand for a famous turn of the phrase by Conan Doyle ascribed to Sherlock holmes seeking to solve a crime in which it was the absence of information that he cleverly used to solve the crime.  (see the short story  The Adventure of Silver Blaze). He collected the data, framed it in context to get information and then  use the counterfactual to obtain the insight.  What happened, what did you see or hear? When do dogs not bark?  when they recognize someone they know, so obviously it was the trainer….
[note this reference appears in The Big Short  too…great movie!]
Three, Comment I noticed by Leda Glyptis who is now at Sapient…what a great bio!
Extracting value from a wealth of structured and unstructured data, however, is not as much a technical problem, as a business problem. Technical heavy lifting will undeniably be needed to get you from having a ‘data lake’ to being a data-driven organisation but fundamentally: saying ‘there are 10,000 species of snake in the world’ is data; ‘there’s one under your seat’ is information; ‘it is asleep right now, so you can get up and walk away’ is actionable insight.

The whole interview is here:   http://www.femtechleaders.com/europe/leda-glyptis/

My point –make the time to be human, take the time to notice and connect to more of what you know.  The payoff? Surprising insights will be yours

 

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