A Quote by Padmasree Warrior

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.
What happened on "As Cool As I Am" was, you know how in the `90s, "the personal is political, the political is personal"? That was a really big thing. Choices you made about how you recorded and what instruments you used and how much real versus how much synthetic. Those were choices that were seen as very political at the time.
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.
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.
At the close of life the question will be not how much have you got, but how much have you given; not how much have you won, but how much have you done; not how much have you saved, but how much have you sacrificed; how much have you loved and served, not how much were you honored.
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.
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.
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.
Biases and blind spots exist in big data as much as they do in individual perceptions and experiences. Yet there is a problematic belief that bigger data is always better data and that correlation is as good as causation.
[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.
The most important question regarding Big Data at almost any company is: How much are your customers really worth?
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.
In the future, it's going to move from being just a data transport to really becoming a media experience platform. The Internet will be more about media, more about collaboration, much more virtualized and much more green.
I could only try to comfort the women that I came face-to-face with. I was really moved by how much they wanted to talk, how much they needed to be comforted, and how happy they were that we were there.
There is so much information that our ability to focus on any piece of it is interrupted by other information, so that we bathe in information but hardly absorb or analyse it. Data are interrupted by other data before we've thought about the first round, and contemplating three streams of data at once may be a way to think about none of them.
The brain has about ten thousand parameters for every second of experience. We do not really have much experience about how systems like that work or how to make them be so good at finding structure in data.
We know now data is so powerful, and you can learn so much about yourself and creating product with data.
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