No one who has experienced the intense involvement of computer modeling would deny that the temptation exists to use any data input that will enable one to continue playing what is perhaps the ultimate game of solitaire.
I had. . . come to an entirely erroneous conclusion, which shows, my dear Watson, how dangerous it always is to reason from insufficient data.
Have the models been successful in predicting anything? They, of course, predict substantial global warming. This is not surprising given the expressed belief of some of the model builders in the global warming Hypothesis and the many parameters in the model that need to be introduced. However, the models also predict unambiguously that the atmosphere is warming faster than the surface of the earth; but all the available observational data unambiguously shows the opposite!
[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.
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.
Data-driven predictions can succeed-and they can fail. It is when we deny our role in the process that the odds of failure rise. Before we demand more of our data, we need to demand more of ourselves.
There is so much data available to us, but most data won't help us succeed.
I think that having good data, good statistics-and the United States generally has better macroeconomic statistics than most countries-and having good economists to interpret those data and present the policy alternatives, has a substantially beneficial effect on policymaking in the United States.
So you will see us continue to advance the state of the art or take information that we have in our response data bases and have that drive automation or an automated response by some of our products.
I might take from the current political chaos a desire to somehow reflect its essential qualities in a story - the blatant lies that get accepted with repetition; the way mass media seems to be agitating people en masse; the way, particularly, that a relatively lucky and affluent and privileged population can be undone by a certain spoiled quality; that feeling when two decent people violently disagree, because they are arguing from two non-intersecting data sets - well, the list goes on.
A basic principle of data processing teaches the folly of trying to maintain independent files in synchonism.
The physicist, in his study of natural phenomena, has two methods of making progress: (1) the method of experiment and observation, and (2) the method of mathematical reasoning. The former is just the collection of selected data; the latter enables one to infer results about experiments that have not been performed. There is no logical reason why the second method should be possible at all, but one has found in practice that it does work and meets with reasonable success.
People are free or cheap. Marketing: using Twitter or blogs. Cheap or free. Infrastructure: call up Amazon, call up Rackspace, terabytes of data in the clouds, thousand dollars, two thousand dollars.
Data can actually make us more human.
We're entering a new world in which data may be more important than software.
The danger of parachuting young enthusiastic scientists into a flower bed of selected data and fully bloomed conceptions should be underestimated.
The investigation of causal relations between economic phenomena presents many problems of peculiar difficulty, and offers many opportunities for fallacious conclusions. Since the statistician can seldom or never make experiments for himself, he has to accept the data of daily experience, and discuss as best he can the relations of a whole group of changes; he cannot, like the physicist, narrow down the issue to the effect of one variation at a time. The problems of statistics are in this sense far more complex than the problems of physics.
Data only exists within the framework of a vision you're building to, a hypothesis of where you're moving to.
Scientists do not collect data randomly and utterly comprehensively. The data they collect are only those that they consider *relevant* to some hypothesis or theory.
This years keynote session is a clear reminder that wireless data technology is expanding its reach beyond that of an alternative to wireline telephony. We have gathered an exclusive group of business leaders to share how wireless is being integrated into their companys business strategies and what it means for their bottom lines. The presence of these telecom, media and entertainment giants on our center stage is a great indicator of the impact wireless data has made on countless industries.