David Willetts Quotes

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.

I'm very lucky to work at bitly, with a data set that allows us to explore human social behavior at the scale of human social behavior.

There's a whole company called Palantir that does nothing but derive and create algorithms riches to search through big data. We're not using their capabilities. For heaven's sake, some of this is just ineptitude.

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.

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

I think you can have a ridiculously enormous and complex data set, but if you have the right tools and methodology then it's not a problem.

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

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.

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.

When I look at the next set of technologies that we have to build in Salesforce, it's all data-science-based technology. We don't need more cloud. We don't need more mobile. We don't need more social. We need more data science.

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'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.

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.

I'm an analytics girl.

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

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

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.

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?

I want to leverage the creativity of researchers across mathematics, statistics, data mining, computer science, biology, medicine, and the public at large.

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

While data can only tell you what has happened in the past, it can in some ways give you a sense of what might be of interest to an audience in the future.

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