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The Half-Life of Innovation

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  The Half-Life of Innovation RS Wood  <rswood@therandymon.com> - 2014-02-19 14:52 +0000
    Re: The Half-Life of Innovation wjwlsn <ibillwilson@gmail.com> - 2014-02-19 11:39 -0800
      Re: The Half-Life of Innovation RS Wood <rsw@therandymon.com> - 2014-02-20 09:02 +0000

#573 — The Half-Life of Innovation

From the we thinks newest is bestest department:
Title: The Half-Life of Innovation
Author: Lisa Morgan
Date: Wed, 19 Feb 2014 07:15:45 -0500
Link: http://feedproxy.google.com/~r/SmartBear/~3/0tTSWz3K468/

New products hit the market faster than businesses can consume them, forcing
IT executives and business managers to set priorities. If policies are too
rigid, competitiveness may suffer. If policies...[image 1]

Links:
[1]: http://feeds.feedburner.com/~r/SmartBear/~4/0tTSWz3K468 (image)

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#585

I read the article, and I'm not sure what to make of it. Here are a
few choice quotes.

"combining and collectively mining structured and unstructured data"
"improve the velocity and strategic value of the data-driven insights"
"real-time insight into customer buying behavior within and across channels"
"be able to offer promotions in context on-the-fly"

So... employ massive computational resources in order to sell more stuff?
I guess I just don't have what it takes to be in business. I'm interested
in "big data" techniques from a technical perspective, but the purpose for
its development and adoption kind of annoys me. Then again, I'm not a
normal person, so this shouldn't surprise me.

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#599

wjwlsn wrote:
> I read the article, and I'm not sure what to make of it. Here are a
> few choice quotes.
>
> "combining and collectively mining structured and unstructured data"
> "improve the velocity and strategic value of the data-driven insights"
> "real-time insight into customer buying behavior within and across channels"
> "be able to offer promotions in context on-the-fly"
>
> So... employ massive computational resources in order to sell more stuff?
> I guess I just don't have what it takes to be in business. I'm interested
> in "big data" techniques from a technical perspective, but the purpose for
> its development and adoption kind of annoys me. Then again, I'm not a
> normal person, so this shouldn't surprise me.

You're right, the article reads like a piece custom-designed to catch 
the attention of search engine 'bots, and comes across like the barf of 
a buzzword-bingo blender.

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