Erik Brynjolfsson Quotes

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

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

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

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

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.

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

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.

Everything is changing now that we are in the cloud in terms of sharing our data, understanding our data using new techniques like machine learning.

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.

The big mystery of Big Data is causation versus correlation.

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.

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

Evolving technologies that allow economists to gather new types of data and to manipulate millions of data points are just one factor among several that are likely to transform the field in coming years.

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

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

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.

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.

We know now data is so powerful, and you can learn so much about yourself and creating product with data.

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.

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

The possibilities for creation and insight are endless. We're constantly collecting more data, and it's starting to be very relevant to our lives.

We're not in an information age anymore. We're in the information management age.

Across our great nation, we've begun to see an acceleration of the power of data to deliver value.