Anne Wojcicki Quotes

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

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

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

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.

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

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

Watson augments human decision-making because it isn't governed by human boundaries. It draws together all this information and forms hypotheses, millions of them, and then tests them with all the data it can find. It learns over time what data is reliable, and that's part of its learning process.

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

Data is a tool for enhancing intuition.

I'm an analytics girl.

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

Intuition becomes increasingly valuable in the new information society precisely because there is so much data.

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

If you want to solve very complex problems, you will have to end up letting machines work out a lot of the details for themselves, and in ways that we don't understand what they are doing.

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.

I'm a geek through and through. My last job at Microsoft was leading much of the search engine relevance work on Bing. There we got to play with huge amounts of data, with neural networks and other AI techniques, with massive server farms.

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.

A new, a vast, and a powerful language is developed for the future use of analysis, in which to wield its truths so that these may become of more speedy and accurate practical application for the purposes of mankind than the means hitherto in our possession have rendered possible.

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.

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.

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

Data is the most valuable asset in the world.

Artificial intelligence, machine learning... cell therapy, immunotherapy. There's just a constant stream of investment ideas we could pursue better in that fashion.

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.

I think of 'data science' as a flag that was planted at the intersection of several different disciplines that have not always existed in the same place. Statistics, computer science, domain expertise, and what I usually call 'hacking,' though I don't mean the 'evil' kind of hacking.