A Quote by Rick Smolan
As individuals, we have very little say about how our data is being used. I'm not worried about the privacy implications of it so much. But it seems to me that, as an individual, if I'm the one generating the data, I should have some kind of say in how it's going to be used.
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I'm worried about privacy - the companies out there gathering data on us, the stuff we do on Twitter, the publicly scrapeable stuff on Facebook. It's amazing how much data there is out there on us. I'm worried that it can be abused and will be abused.
TIA was being used by real users, working on real data - foreign data. Data where privacy is not an issue.
The first wave of the Internet was really about data transport. And we didn't worry much about how much power we were consuming, how much cooling requirements were needed in the data centers, how big the data center is in terms of real estate. Those were almost afterthoughts.
As our society tips toward one based on data, our collective decisions around how that data can be used will determine what kind of a culture we live in.
People should have to opt in for any kind of data sharing, and they should know what the data is being used for.
What is clear is that users own their data and should have control of how their data is used.
When dealing with data, scientists have often struggled to account for the risks and harms using it might inflict. One primary concern has been privacy - the disclosure of sensitive data about individuals, either directly to the public or indirectly from anonymised data sets through computational processes of re-identification.
We should have companies required to get the consent of individuals before collecting their data, and we should have as individuals the right to know what's happening to our data and whether it's being transferred.
I will talk about two sets of things. One is how productivity and collaboration are reinventing the nature of work, and how this will be very important for the global economy. And two, data. In other words, the profound impact of digital technology that stems from data and the data feedback loop.
I stopped worrying about how other people define me a little bit ago. I used to care a lot. Now I just don't care that much. Really, what I'm worried about is, am I being the best me I can be?
The biggest mistake is an over-reliance on data. Managers will say if there are no data they can take no action. However, data only exist about the past. By the time data become conclusive, it is too late to take actions based on those conclusions.
Radio astronomy reflects our fascination with how audio can be used to understand information or ideas. Just as scientists visualize data through charts and pictures, we can use 'data sonification' to translate radio signals into sound that help us better understand some of our most enigmatic planetary systems.
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.
I like to say I've been working on big data for so long, it used to be small data when I started working on it.
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.
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.
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