Ramez Naam Quotes

I came in as an engineer and worked on artificial intelligence at Google. I worked on related sites and matching advertising to queries with some of our earliest ads.

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.

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

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

Artifical Intellegence is the most important of the coming technologies. Whoever can crack that will have a company worth 10 Microsofts.

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.

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.

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

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.

Graphics has lately made a great shift towards machine learning, which itself is about understanding data.

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

The world is now awash in data and we can see consumers in a lot clearer ways.

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.

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

This is a magical time for computer programming. We are moving towards the artifical intelligence holy grail of programming the computer to simulate the human brain.

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.

I joined Baidu in 2014 to work on AI. Since then, Baidu's AI group has grown to roughly 1,300 people, which includes the 300-person Baidu Research. Our AI software is used every day by hundreds of millions of people.

Artificial intelligence... I've been following that since I was in high school.

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

Without your data, Google couldn't pursue the dream of trying to figure out what you're really thinking when you're asking a question, of trying to discern, from the imprecision of your language, the exact answer you're looking for.

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.

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.