Ben Bernanke Quotes

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.

We have entered an era where the kinds of data and analyses that people run have gotten incredibly complicated. So you have researchers using sophisticated software programs that they probably don't understand but are generally accepted and everyone [in the field] uses.

We are going to completely change what it means to do advanced analytics with our data solutions. We have machine-learning stuff that is about really bringing advanced analytics and statistical machine learning into data-science departments everywhere.

The big mystery of Big Data is causation versus correlation.

A lot of people seem to think that data science is just a process of adding up a bunch of data and looking at the results, but that's actually not at all what the process is.

Data science is the combination of analytics and the development of new algorithms.

Big data is mostly about taking numbers and using those numbers to make predictions about the future. The bigger the data set you have, the more accurate the predictions about the future will be.

There are a number of fascinating stories included in 'The Human Face of Big Data' that represent some of the most innovative applications of data that are shaping our future.

We're entering a new world in which data may be more important than software.

The people who are thinking most about big data right now are corporations and governments.

Most of 'big data' is a fraud because it is really 'dumb data.'

We're rapidly entering a world where everything can be monitored and measured. But the big problem is going to be the ability of humans to use, analyze and make sense of the data.

The world is now awash in data and we can see consumers in a lot clearer ways.

Social media has given companies access to unprecedented amounts of information on client behavior and preferences - so-called Big Data. But making sense of it all and turning it into actionable policy has been elusive.

Forget artificial intelligence - in the brave new world of big data, it's artificial idiocy we should be looking out for.

People are saying, 'Big Data is the new oil.'

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.

I like to say I've been working on big data for so long, it used to be small data when I started working on it.

Data drives success. That is how we began our success with eSpeed. It was always based on the data.

The world is looking for big data scientists, and there just aren't enough to go around.

The next darwin is more likely to be a data wonk than a naturalist wandering through an exotic landscape.

I keep saying the sexy job in the next ten years will be statisticians. People think I'm joking, but who would've guessed that computer engineers would've been the sexy job of the 1990s?

Big Data is just that - big. But, it's a term that is largely misunderstood and difficult to explain.

There's definitely a huge opportunity for businesses to transform their operations and decision making by using data.

Our ability to do great things with data will make a real difference in every aspect of our lives.