A Quote by Tim Cook
I'm not targeting government. I'm not saying hey, I'm closing it because I don't want to give you any data. I'm saying that to protect out customers, we have to encrypt. And a side affect of that is, I don't have the data.
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I promoted Hyderabad to the world by saying that there was privacy in India and their data will be sage. Data is wealth.
Any time scientists disagree, it's because we have insufficient data. Then we can agree on what kind of data to get; we get the data; and the data solves the problem. Either I'm right, or you're right, or we're both wrong. And we move on. That kind of conflict resolution does not exist in politics or religion.
Dell will participate in tablets and all sorts of client devices. Our main business is helping our customers secure, protect their data and access it from any device they want to.
You can harvest any data that you want, on anybody. You can infer any data that you like, and you can use it to manipulate them in any way that you choose. And you can roll out an algorithm that genuinely makes massive differences to people's lives, both good and bad, without any checks and balances.
We don't use the term 'big data' - not on our website, not with customers. Saying it sets up expectations, the wrong expectations.
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.
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.
If I was in government and running government, I think I would use the government data, because I wouldn't know where else to look, quite frankly. And if I didn't like that data, I would work hard to make sure it got better and better and better, whether it was at the state or local or federal level.
If we all say the same thing, then I think the government has to listen. But because no one is saying it, I become singled out, even though what I'm saying is common sense. It's very essential values that we all have to protect. But in Chinese society, people are giving up on protecting these values.
With too little data, you won't be able to make any conclusions that you trust. With loads of data you will find relationships that aren't real... Big data isn't about bits, it's about talent.
Scientific data are not taken for museum purposes; they are taken as a basis for doing something. If nothing is to be done with the data, then there is no use in collecting any. The ultimate purpose of taking data is to provide a basis for action or a recommendation for action. The step intermediate between the collection of data and the action is prediction.
With customers' permission, fintech firms have increasingly turned to data aggregators to 'screen scrape' information from financial accounts. In such cases, data aggregators collect and store online banking logins and passwords provided by the bank's customers and use them to log directly into the customer's banking account.
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.
We all say data is the next white oil. [Owning the oil field is not as important as owning the refinery because what will make the big money is in refining the oil. Same goes with data, and making sure you extract the real value out of the 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.
The information highway is being sold to us as delivering information, but what it's really delivering is data... Unlike data, information has utility, timeliness, accuracy, a pedigree... Editors serve as barometers of quality, and most of an editor's time is spent saying no.
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