A Quote by Kate Crawford

There's been the emergence of a philosophy that big data is all you need. We would suggest that, actually, numbers don't speak for themselves. — © Kate Crawford
There's been the emergence of a philosophy that big data is all you need. We would suggest that, actually, numbers don't speak for themselves.
Numbers can't speak for themselves, and data sets - no matter their scale - are still objects of human design.
Hidden biases in both the collection and analysis stages present considerable risks and are as important to the big-data equation as the numbers themselves.
Big data is mostly about taking numbers and using those numbers to make predictions about the future. The bigger the data set you have, the more accurate the predictions about the future will be.
I let my numbers speak for themselves. I really do. I mean, all of these one-cut runners, you put their numbers up against mine, they're not even close.
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.
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.
Cell-site data - like mailing addresses, phone numbers, and IP addresses - are information that facilitate personal communications rather than part of the content of those communications themselves. The government's collection of business records containing these data, therefore, is not a search.
Tape with LTFS has several advantages over the other external storage devices it would typically be compared to. First, tape has been designed from Day 1 to be an offline device and to sit on a shelf. An LTFS-formatted LTO-6 tape can store 2.5 TB of uncompressed data and almost 6 TB with compression. That means many data centers could fit their entire data set into a small FedEx box. With LTFS the sending and receiving data centers no longer need to be running the same application to access the data on the tape.
I think my numbers speak for themselves.
The big thing that's happened is, in the time since the Affordable Care Act has been going on, our medical science has been advancing. We have now genomic data. We have the power of big data about what your living patterns are, what's happening in your body. Even your smartphone can collect data about your walking or your pulse or other things that could be incredibly meaningful in being able to predict whether you have disease coming in the future and help avert those problems.
With this emergence of big data and social mobility, you will, in fact, see the death of 'average,' Instead, you will see the era of you.
Maybe back in the day you didn't need to be the greatest looking to be on TV and you didn't need to speak the best, but in this day and age, I think you need to be the package. You need to look the part for your sponsors, you need to be able to speak the part for the media and to big CEOs.
..I sought a world philosophy-or an integral philosophy-that would believably weave together the many pluralistic contexts of science, morals, aesthetics, Eastern as well as Western philosophy, and the world's great wisdom traditions. Not on the level of details-that is finitely impossible; but on the level of orienting generalizations: a way to suggest that the world really is one, undivided, whole, and related to itself in every way: a holistic philosophy for a holistic Kosmos, a plausible Theory of Everything.
[Sovereignty] would break the American monopoly, but it would also break Internet business, because you'd have to have a data center in every country. And data centers are tremendously expensive, a big capital investment.
We need a moral philosophy which can speak significantly of Freud and Marx and out of which aesthetic and political views can be generated. We need a moral philosophy in which the concept of love, so rarely mentioned now, can once again be made central.
Characters on stage, like people in what we refer to as "real life," do not speak to reveal themselves. They do not speak to conceal themselves. They speak to get whatever it is that they want. It is the only reason they speak.
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