Nate Silver Quotes

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.

You need to use data science and machine learning to get the ground truth of what's happening inside of a company.

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.

The whole concept of data science is that the software becomes the expert, and you, as the average user, are able to understand what's going on.

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 premise and promise of Big Data is that there are no stories, only patterns; that the human preference for story is aligned with the human tendency for error; and that only through dislocations in scale - the scale of sample size and of time - will truth emerge.

In disciplines as disparate as baseball, financial services, trucking and retail, people are realizing the power of data to help make better decisions.

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

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.

The answers to today's most important scientific, business, and social problems lie in data.

Deep learning allows you to create predictive models at a level of quality and sophistication that was previously out of reach. And so deep learning also enhances the product function of data science because it can generate new product opportunities.

I learned analytics. It's a point of reference, of information. It has to be a factor in decision making.

Technologies like Ayasdi's exist now to automatically discover information from data without having someone making guesses up front.

My mission is to bring the power of big data insights and analytics to every company.

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.

For me, the most exciting aspect of my success is how the insights that Ayasdi's technology has found in data can truly impact people's lives.

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

Networks love data. They love to be able to look at numbers and try to predict what they think will work.

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.