These days, there's a lot being
said about big data and the value that comes from properly utilizing it.
Every morning I would go to sleek, tall glass buildings to
learn about big data and what it takes to make a powerful data visualization.
If there's consensus on one
thing about big data it's that it really doesn't have a specific definition.
Everywhere we turn, there is a
piece about big data, artificial intelligence and how data is the most important asset for an organization.
We hear a
lot about Big Data, but we don't usually get many easy - to - relate - to examples of it.
To date though, we hear
more about Big Data from the vendor side (e.g., Lex Machina, Premonition, and FiscalNote).
And there's the rub: As easy as it may be to talk
big about big data, the actual doing is a slog — plumbing and janitorial tasks that take a lot of effort and yield marginal benefits.
Much of the
conversation about Big Data surrounds the topic of its actual collection, but unless both your internal and external users can easily consume data, it is worthless.
According to its July 2016 publication The Data Revolution: The Big
Deal About Big Data, GSAM observes that «investors have access to an enormous amount of information on every public company — information that can potentially influence stock prices and other investment opportunities».
The existing
dialogue about BIG data uses language about insights — and to be sure there is insight to be had quantitatively.
For all the dimensions of compatibility, the press
releases about big data, the tech meetups, big IT infrastructure, data centers, Hadoop, etc., you would think they spent a few days securing passwords.
There has been a lot of academic
discussion about Big Data, but how can they really be used in practice in the K12 publishing?
New York Times reporter Steve Lohr published an article on March 24th entitled «Big Data is Opening Doors, But Maybe Too Many» which raised
issues about Big Data and privacy, invoking the ever - terrifying Big Brother reference from Orwell's future - horror novel 1984.
But people talked about AI, Apple watch, a little
bit about big data, Amazon Echo — that we'll talk about in the next segment.
With the hue and
cry about big data, artificial intelligence and law being accentuated by all the talk around Watson / Ross, I was interested to see this thoughtful, carefully carried out and documented piece of research into the qualities of brief writing before the US Supreme Court from US political scientist Adam Feldman.
Foreman, MailChimp's chief data scientist, has a fascinating take on what the Disney entertainment colossus can teach the
world about big data and analytics and whether we should be delighted or creeped out by it.
Big Data Cloud, is a not - for - profit organization for evangelizing to individuals and
organizations about Big Data and Cloud technologies.
That gets at the heart of many real estate practitioners and companies»
fears about big data: a further loss of control.
Librarians from all over North America were in attendance, talking about the shift to digital and participating in many sessions
talking about big data and how libraries can get into ebooks.
One of the best
things about Big Data is that it allows businesses to scan through vast amounts of customer information to find relevant patterns and insights.
Forget kissing babies: Success on the trail is
more about big data, online advertising, and ferreting out undecided voters by following a digital trail.
Here we delve into the whats whys and how your career can end up benefiting from knowing all there is to
know about Big Data.
With over 25 years of experience in technology, marketing and real estate, Will is a data geek and
passionate about big data.
If you have been keeping up with technological and business trends in the last couple of years, you probably
heard about big data and you could be wondering what this fuss is all about.
(Read More: Investors Are Getting «Psyched»
About Big Data)
Everyone is talking
about Big Data.