Darren Remington Quotes

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.

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.

Formula creation is magnitudes harder for computer algorithms than actually executing within a formula. But once the genre is created and the formula is known, then the computer can do the repetitive task of executing within the genre.

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 can be theory but, you know, the problem is you've got to be able to test it. So theories are one thing, testing is another.

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

An algorithm must be seen to be believed.

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.

Every part of your business will change based on what I consider predictive analytics of the future.

I got really excited about the idea of data-driven startup just as I was starting Kaggle.

It's difficult to imagine the power that you're going to have when so many different sorts of data are available.

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

Technology is such a broad kind of term, it really applies to so many things, from the electric light to running cars on oil. All of these different things can be called technology. I have kind of a love-hate relationship with it, as I expect most people do. With the computer, I spend so many hours sitting in front of a computer.

A graphic representation of data abstracted from the banks of every computer in the human system. Unthinkable complexity. Lines of light ranged in the nonspace of the mind, clusters and constellations of data. Like city lights, receding.

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

Men and machines are good at different things. People form plans and make decisions in complicated situations. We are less good at making sense of enormous amounts of data. Computers are exactly the opposite: they excel at efficient data processing but struggle to make basic judgments that would be simple for any human.

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

A year spent in artificial intelligence is enough to make one believe in God.

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.

When human judgment and big data intersect there are some funny things that happen.

The goal of 'Data Detectives' is to spark the imagination of students around the globe by making them think about new technologies that will impact humanity in ways similar to language and art.

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.

Systems are going to get a lot more sophisticated.

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

There will always be plenty of things to compute in the detailed affairs of millions of people doing complicated things.