Jan Chipchase Quotes

The natural flow of technology tends to move in the direction of making surveillance easier, and the ability of computers to track us doubles every eighteen months.

The world that our children living in is going to be completely different because of big data.

Digital surveillance programs require concrete data centres; intelligence agencies are based in real buildings. Surveillance systems ultimately consist of technologies, people, and the vast network of material resources that supports them.

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.

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

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

It's time to wake up to the fact that you're just another avatar in someone else's MMO. Worse: From where they stand, all-powerful Big Data analysts that they are, you look an awful lot like a bot.

Marketers use big data profiling to predict who is about to get pregnant, who is likely to buy a new car, and who is about to change sexual orientations. That's how they know what ads to send to whom. The NSA, meanwhile, wants to know who is likely to commit an act of terrorism - and for this, they need us.

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.

Collect It All Process It All Exoloit It All Partner It All Snff It All Know It All

Venture capitalists are pouring billions of dollars into commercial surveillance satellites, unmanned aerial vehicles, social media analytics, biometric technologies, and cyberdefenses to meet surging market demand. Heavy competition is driving down the cost of and improving the information available to individuals, businesses, and governments.

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

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.

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.

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

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.

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

The power of Ayasdi is its unique ability to automatically discover insights - regardless of complexity - without asking questions.

Emotion AI uses massive amounts of data. In fact, Affectiva has built the world's largest emotion data repository.

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.

People are building apps that are doing super-crazy things, and there's a lot of talk about modeling and microtargeting. Facebook can predict when people are going to break up, and Target is able to predict if a woman is pregnant before she knows just based on the type of lotion she bought.

Data is something we create, but it's also something we imagine.