Tim O'Reilly Quotes

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

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.

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

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

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.

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.

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

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

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.

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.

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

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

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.

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.

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

The ability to collect, analyze, triangulate and visualize vast amounts of data in real time is something the human race has never had before. This new set of tools, often referred by the lofty term 'Big Data,' has begun to emerge as a new approach to addressing some of the biggest challenges facing our planet.

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.

If you have a lot of data and you want to create value from that data, one of the things you might consider is building up an AI team.

Big data knows and can deduce more about you than Big Brother ever could.

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.

Data is the new oil.