A Quote by Ginni Rometty

Big data is indeed a buzzword but it is one that is frankly under-hyped. — © Ginni Rometty
Big data is indeed a buzzword but it is one that is frankly under-hyped.
Blockchain is like the new big data or AI - too many people are using it as a buzzword and not focused solving a real problem. We like to call them Blockchain tourists!
People think 'big data' avoids the problem of discrimination because you are dealing with big data sets, but, in fact, big data is being used for more and more precise forms of discrimination - a form of data redlining.
Big data is great when you want to verify and quantify small data - as big data is all about seeking a correlation - small data about seeking the causation.
In my view, our approach to global warming exemplifies everything that is wrong with our approach to the environment. We are basing our decisions on speculation, not evidence. Proponents are pressing their views with more PR than scientific data. Indeed, we have allowed the whole issue to be politicized-red vs blue, Republican vs Democrat. This is in my view absurd. Data aren't political. Data are data. Politics leads you in the direction of a belief. Data, if you follow them, lead you to truth.
There's a lot of dark horror, and a lot of sci-fi fantasy that's great, but what gets hyped a lot the big stuff. The most expensive stuff gets hyped a lot, and I love it, don't get me wrong, but there's things that fall through the cracks.
MapReduce has become the assembly language for big data processing, and SnapReduce employs sophisticated techniques to compile SnapLogic data integration pipelines into this new big data target language. Applying everything we know about the two worlds of integration and Hadoop, we built our technology to directly fit MapReduce, making the process of connectivity and large scale data integration seamless and simple.
We get more data about people than any other data company gets about people, about anything - and it's not even close. We're looking at what you know, what you don't know, how you learn best. The big difference between us and other big data companies is that we're not ever marketing your data to a third party for any reason.
One [Big Data] challenge is how we can understand and use big data when it comes in an unstructured format.
In the United States these days, 'diversity' is a big word and a buzzword.
Biases and blind spots exist in big data as much as they do in individual perceptions and experiences. Yet there is a problematic belief that bigger data is always better data and that correlation is as good as causation.
Big data will never give you big ideas... Big data doesn't facilitate big leaps of the imagination. It will never conjure up a PC revolution or any kind of paradigm shift. And while it might tell you what to aim for, it can't tell you how to get there
Big data has been used by human beings for a long time - just in bricks-and-mortar applications. Insurance and standardized tests are both examples of big data from before the Internet.
With too little data, you won't be able to make any conclusions that you trust. With loads of data you will find relationships that aren't real... Big data isn't about bits, it's about talent.
I'm going to say something rather controversial. Big data, as people understand it today, is just a bigger version of small data. Fundamentally, what we're doing with data has not changed; there's just more of it.
Frankly, I didn't know how I would react to Apple's over-hyped MP3 player until I used one. Now I would have a hard time parting with it: Consider me converted.
Woodstock is well known because this country is so hyped on amount. It was big. Half a million people doesn't necessarily mean something is good. It just means it's big.
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