Marissa Mayer Quotes

I collect a lot of data. We all do.

Big data sets are never complete.

Data is the kind of ubiquitous resource that we can shape to provide new innovations and new insights, and it's all around us, and it can be mined very easily.

Collect it all!

Every day we have teams looking for new data sets.

Data is cost. It takes money to create data, store it, clean it, and throw resources at it to learn anything from it.

There will be hundreds of new companies that will be created to develop these very simple data devices.

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

The people who are thinking most about big data right now are corporations and governments.

You and I are streaming data engines.

Most of 'big data' is a fraud because it is really 'dumb data.'

Every company has messy data, and even the best of AI companies are not fully satisfied with their data. If you have data, it is probably a good idea to get an AI team to have a look at it and give feedback. This can develop into a positive feedback loop for both the IT and AI teams in any company.

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

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.

For me myself, I feel it's always interesting gathering data. I have my team who do that. I think they feed me through specific things that I might find valuable.

Sharing data allows us to research, communicate, consume media, buy and sell, play games, and more. In return, businesses develop products, scientists undertake research, and governments use data to enable voting, inform policies, collect tax, and provide better public services.

Companies that rely on licensing a proprietary dataset should expect to be outpaced by competitors using modern data collection techniques and more frequent updates and greater accuracy.

Apple knows a lot of data. Facebook knows a lot of data. Amazon knows a lot of data. Microsoft used to, and still does with some people, but in the newer world, Microsoft knows less and less about me. Xbox still knows a lot about people who play games. But those are the big five, I guess.

If 300 million people were to offer up the details of their private lives, you would need to hire another 300 million people just to keep up.

This is where the world is going: direct access from anywhere to any type of data, whether it's a small piece of data or a small answer but a long algorithm to create that answer. The user doesn't care about this.

Over the years, online, we've laid down a huge amount of information and data, and we irrigate it with networks and connectivity, and it's been worked and tilled by unpaid workers and governments.

We get more data about people than any other data company gets about people, about anything - and it's not even close. We're looking at what you know, what you don't know, how you learn best. The big difference between us and other big data companies is that we're not ever marketing your data to a third party for any reason.

Removed from 'Gmail' doesn't necessarily mean removed from all Google servers. In fact, your old emails are the data set from which Google models our behaviors - the real product it is offering its advertisers.

I am a data hound and so I usually end up working on whatever things I can find good data on. The rise of Internet commerce completely altered the amount of information you could gather on company behavior so I naturally drifted toward it.

Big data has been used by human beings for a long time - just in bricks-and-mortar applications. Insurance and standardized tests are both examples of big data from before the Internet.