A Quote by Cathy O'Neil
I think big data companies only like good news. So I think they're just hoping that they don't get sued, essentially.
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Sure, some employers are are afraid of letting older workers go because they think they're going to get sued. And they probably will get sued. But the reality is, you could get sued at any time by any kind of worker. I think its incumbent on an employer, if they want to be smart, to figure out what is the benefit of keeping this employee or letting them go. Do the calculation and just go ahead and either keep them or let them go based on what's good for the business.
People think 'big data' avoids the problem of discrimination because you are dealing with big data sets, but, in fact, big data is being used for more and more precise forms of discrimination - a form of data redlining.
I think the first wave of deep learning progress was mainly big companies with a ton of data training very large neural networks, right? So if you want to build a speech recognition system, train it on 100,000 hours of data.
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.
I think it would be a mistake for social media companies to try to, on their own, determine or deign what is a fake news story and what isn't and shut it off, or what's a good news organization or a bad news organization. That's a very, very slippery slope.
I've made quite a number of movies like Castaway and a few others where I'm the only guy in the movie and the only place to be is right next to the camera in costume ready to go in order to get it. The years, and more specifically probably the four months prior to beginning shooting, is where the big preparation is that the director does because I knew we were going to get on the set. And the good news is, if you're the boss, if it ain't good, you don't use it. You just cut it out.
A lot of people like the idea of companies being socially involved in their community, but if you want big companies to get involved in social issues, what makes you think they're going to come down on your side?
Let's look at lending, where they're using big data for the credit side. And it's just credit data enhanced, by the way, which we do, too. It's nothing mystical. But they're very good at reducing the pain points. They can underwrite it quicker using - I'm just going to call it big data, for lack of a better term: "Why does it take two weeks? Why can't you do it in 15 minutes?"
I want a big career, a big man, and a big life. You have to think big - that's the only way to get it... I just couldn't stand being anonymous.
Go out and collect data and, instead of having the answer, just look at the data and see if the data tells you anything. When we're allowed to do this with companies, it's almost magical.
When we first started our internet company, 'China Pages', in 1995, and we were just making home pages for a lot of Chinese companies. We went to the big owners, the big companies, and they didn't want to do it. We go to state-owned companies, and they didn't want to do it. Only the small and medium companies really want to do it.
Well, I'm kind of an urban girl, I like big cities. I like New York, I like London, I like L.A. I like people, I get lonely, really, really easily. But, I think it was good. It was very different and I think that's good.
One of the myths about the Internet of Things is that companies have all the data they need, but their real challenge is making sense of it. In reality, the cost of collecting some kinds of data remains too high, the quality of the data isn't always good enough, and it remains difficult to integrate multiple data sources.
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.
I think my dad's done a great job of letting others have their turn when his term was over and not being out there grandstanding and trying to say, 'Well, this is what I think, and I need to get the news and be on the news and' - he's not like that.
If I don't watch the news in a day, I think the potential for humanity is incredible. But anytime I look at the news, I'm like, 'We're in really big trouble.'
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