Kenneth Cukier
speaker
76 appearances
1 recordings
1 series
first heard Mar 2013
last heard Mar 2013
Kenneth Cukier’s voice in public audio — every appearance, attributed to the second.
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Appearances
Well, there's no one single definition of big data, but a way to understand it is by its characteristics.
And it basically means that we have vastly more data than we ever have before.
And we have new techniques and tools by which we can learn from a large body of data things that we never could when we only had smaller amounts to extract new forms of economic value.
And in a way, it turns data into a new resource, a new economic input.
The data is everywhere.
We're collecting more data about things that we always collected data on before.
So every time we go to a website, everything we do, all of our interactions, even sometimes where our mouse scrolls over but we don't click, is being recorded.
Now there's another facet to it.
We're taking things that we never considered as being informational and rendering it into a data form.
So, for example, the way that you're sitting and other people are sitting.
You don't think of that as data, but if I put sensors under your chair and measured it,
I could probably create a index for you, which is almost like a fingerprint.
The way that you're sitting is unique to you.
And the service here could be an anti-theft device in cars.
Put it into a car seat and the car will know if the unauthorized driver is driving.
Well, the first company to probably think about is Google.
They are really the paragon of a big data mindset company.
The way that their algorithm works is that when you visit, where you click, the algorithm records and learns from.
So if many, many visitors are searching for the same term and they're clicking on the eighth link on a page, the algorithm knows to lift it up.
The system is constantly learning because it's watching what people are doing and adjusting based on that.
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