A Quote by Ro Khanna

We need a basic protection for people having access to their data and knowing where their data is. — © Ro Khanna
We need a basic protection for people having access to their data and knowing where their data is.
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.
Government and businesses cannot function without enormous amounts of data, and many people have to have access to that data.
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.
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.
Uncontrolled access to data, with no audit trail of activity and no oversight would be going too far. This applies to both commercial and government use of data about people.
On the allegation of withholding temperature data, we find that CRU was not in a position to withhold access to such data or tamper with it.
When a hacker gains access to any corporate data, the value of that data depends on which server, or sometimes a single person's computer, that the hacker gains access to.
I believe that it's fine if the university wants to regulate, for example, bandwidth access, but they should treat the students data as private data.
The banking industry has traditionally been characterized by physical branches, privileged access to financial data, and distinct expertise in analyzing such data.
People are very interested in having access to wireless data while they are on a plane.
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.
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.
People believe the best way to learn from the data is to have a hypothesis and then go check it, but the data is so complex that someone who is working with a data set will not know the most significant things to ask. That's a huge problem.
Connectivity offers a great opportunity for General Motors. When you look at the investment we have made in OnStar and putting 4GLT in and the access you have to not only put data in, and we haven't really tapped into the data you can use from the vehicle.
I'm going to say something rather controversial. Big data, as people understand it today, is just a bigger version of small data. Fundamentally, what we're doing with data has not changed; there's just more of it.
A data scientist is that unique blend of skills that can both unlock the insights of data and tell a fantastic story via the data.
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