Mitchell Hurwitz Quotes

Netflix and Amazon know when you stop and start a program, whether you wanted the whole thing, all of that.

It is probable that Facebook boasts the broadest, deepest, and most comprehensive dataset of human information, interests, and activity ever collected.

The people at Netflix are extremely intelligent about the way they monitor activity on their platform.

If I'm reading my Facebook feed, it's using algorithms, procedures, and methods to give me what I want, or what it thinks that I want, or what suits its business plan.

Facebook is studying emotional reaction to things and bringing you fewer of things you don't engage with and more of what you do.

There is a calculus, it turns out, for mastering our subconscious urges. For companies like Target, the exhaustive rendering of our conscious and unconscious patterns into data sets and algorithms has revolutionized what they know about us and, therefore, how precisely they can sell.

Ideally, Facebook would take all our clicks and information and would magically give us everything we want, without us even knowing we want it.

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.

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

I have two or three shows that I follow, and even those are few and far, when I can see them on Netflix. I don't really watch anything on TV. It's not really a priority for me.

You can go to Pinterest, and they'll get to know who your friends are, but they don't get to know very much about what you've done in the past. They're starting with little information about you, and they have to do this personalization.

We saw that our customers required help beyond the data sets they had and that they could benefit from a wider opinion. So we built SurveyMonkey Audience, and we've now got 4 million users who signed up to take surveys. Our clients can choose the demographic they want to hear from, and we can provide that sample.

I don't watch a lot of T.V. I only watch things via Netflix, so I only watch the things that I'm choosing to watch.

We can watch every time someone looks at a profile. Do they choose to send that person a message? We can look at every message that's sent, and we can determine, was that message replied to or not.

Facebook is teachable. If you hide items, you'll see fewer of those kinds of items in the future. Like more items, and you'll see more of those in the future.

At any time of day, hundreds of different versions of Facebook are running on the Internet - with a changed color here, a moved button there - and the user response to each variation is measured. And the same is done with advertising.

I don't really watch a lot of TV, to be honest. I'm more of a movie girl, or I Netflix stuff.

Facebook's data trove is enviable, and its moves into nearly every aspect of our lives - from payment to media, will create even more of it. The company also has created a huge base of developers for its platform, but the ecosystem is incomplete compared to vertically integrated OSes like iOS, Mac or Windows.

I have Netflix, but I don't watch television.

We are moving into a world where companies will be able to offer us products and services based on our last two hours of activity. This is both exciting and frightening at the same time.

Every check-in should mean something. Foursquare should get smarter every time that you continue to check in. We should be able to offer special deals that you may be interested in, and we should be able to offer recommendations for the type of things you should do next.

We're living in a world where Google beats Gallup.

My hope for AI and Facebook in the next decade is you can sit down and tell Facebook, 'This is what I want to hear about today.' Like, I'm having a bad day; I want to hear some good news. If we make our products better, more people will use it - people use it more. It's fairly easy to understand.

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.

Facebook and Twitter have a ton of information they're trying to make sense of.