Best 902 quotes in «data quotes» category

What we have is a data glut.

What we know is smartphones are everywhere and they are rich in data. What we know is that there are apps once downloaded by the consumer that will also in turn download the consumers' contact book. Most consumers don't want that to happen and don't know it's happening.

When a human being becomes a set of data on a website like Facebook, he or she is reduced. Everything shrinks. Individual character. Friendships. Language. Sensibility.

When a manager asks for hard data, that's usually just his way of saying no.

When an idea comes, spend silent time with it. Remember Keats's idea of Negative Capability and Kipling's advice to "drift, wait and obey". Along with your gathering of hard data, allow yourself also to dream your idea into being.

When an economist says the evidence is "mixed," he or she means that theory says one thing and data says the opposite.

When evaluating a model, at least two broad standards are relevant. One is whether the model is consistent with the data. The other is whether the model is consistent with the 'real world.'

When future generations look back on the global-warming scare of the past 30 years, nothing will shock them more than the extent to which the official temperature records – on which the entire panic ultimately rested – were systematically “adjusted” to show the Earth as having warmed much more than the actual data justified.

When human judgment and big data intersect there are some funny things that happen

When I first began examining the global-warming scare, I found nothing more puzzling than the way officially approved scientists kept on being shown to have finagled their data, as in that ludicrous "hockey stick" graph, pretending to prove that the world had suddenly become much hotter than at any time in 1,000 years. Any theory needing to rely so consistently on fudging the evidence, I concluded, must be looked on not as science at all, but as simply a rather alarming case study in the aberrations of group psychology.

When it comes to exploring the mind in the framework of cognitive neuroscience, the maximal yield of data comes from integrating what a person experiences - the first person - with what the measurements show - the third person.

When I was standing there on top of the world, you become so humble, you do not think about breaking records anymore, you do not think about gaining scientific data. The only thing you want is to come back alive

When we miss with all the metadata collection we've had, the San Bernardino couple and the Tsarnaev brothers, what that suggests to me is that we are using the wrong algorithms to search through all this data.

When I was working in Japan, I created a system for ensuring that intelligence data was globally recoverable in the event of a disaster. I was not aware of the scope of mass surveillance. I came across some legal questions when I was creating it. My superiors pushed back and were like, "Well, how are we going to deal with this data?" And I was like, "I didn't even know it existed.

When we have all data online it will be great for humanity. It is a prerequisite to solving many problems that humankind faces.

When we share our personal data with business, its use should be transparent and secure.

While I was there, Voyager flew by Saturn. I got involved with a person who was a member of the imaging team and started working on data from Saturn. With all that data coming in, the imaging team didn't have enough hands or scientists to work on all of it.

When writing gateway software of any kind, take pains to disturb the data stream as little as possible - and never throw away information unless the recipient forces you to!

Whereas much of what we know from ancient history is derived from one or two sources, we have no fewer than nine ancient sources, inside and outside the New Testament, corroborating the disciples' conviction that they encountered the resurrected Jesus. That's an avalanche of data.

Where big data is all about seeking correlations - and thus to make incremental changes - small data is all about causations - seeking to understand the reasons why.

Whether we look at capitalism, taxes, business, or government, the data show a clear and consistent pattern: 70 percent of Americans support the free enterprise system and are unsupportive of big government.

While data can only tell you what has happened in the past, it can in some ways give you a sense of what might be of interest to an audience in the future.

While it's wonderful that investors have access to all the data now available to them, it has become a full-time job to sift through it and separate out the valuable news from the useless noise.

While traditional BI is interested in the 'what and the where,' data scientists are interested in the 'how and why'.

While the ranking of individual years can be affected by chaotic weather patterns, the long-term trends are attributable to drivers of climate change that right now are dominated by human emissions of greenhouse gases...

Whole communities are growing up without fathers or male role models. Bringing up a family in the best of circumstances is not easy. To try to do it by placing the entire burden on women - 91% of single-parent families in Britain are headed by the mother, according to census data - is practically absurd and morally indefensible.

When you live in a networked environment, it's possible to separate data from applications.

When you see data, doubt [them]! When you see measurements, doubt them!

Will Hillary [Clinton] survive or will the villains...? [James] Comey and the FBI and the Republicans, will they succeed? There isn't any coverage of whether or not Hillary actually broke the law. The media's not interested in whether or not she actually trafficked in classified data.

Why don't I talk about Big Data? Because I am focused on intelligent answers and not speeds and feeds. It doesn't matter if it is quick if it's the wrong answer.

Wikipedia was offline after an overheating problem at one of its data centers. It was pretty bad. For a while there, people had nowhere to go for phony, inaccurate information.

Why is there such insistence that AGW has occurred and needs drastic solutions? This is a puzzle, but my short answer is that the IPCC has been built on the AGW proposition and of course keeps plugging it, whatever the data say. The IPCC has considerable clout. Most people shy off inspecting the evidence because it looks like science and must therefore be hard. The media have been captured by AGW (it makes for great stories), the environmental movement and the Greens love it, and business is reluctant to get involved.

Windows Updates have sometimes been a pain point for users. The update pop-ups can interrupt a movie or a video game, and the automatic restarts can result in lost data or confused users.

Without big data analytics, companies are blind and deaf, wandering out onto the Web like deer on a freeway.

With insufficient data it is easy to go wrong.

Yet the companions of the Muses will keep their collective nose in my books And weary with historical data, they will turn to my dance tune.

With the old economics destroyed, organizational forms perfected for industrial production have to be replaced with structures optimized for digital data. It makes increasingly less sense even to talk about a publishing industry, because the core problem publishing solves — the incredible difficulty, complexity, and expense of making something available to the public — has stopped being a problem.

Would you like to work at home and earn $150 per hour with data entry?

Years ago a statistician might have claimed that statistics deals with the processing of data. . . to-days statistician will be more likely to say that statistics is concerned with decision making in the face of uncertainty.

Without the hard little bits of marble which are called 'facts' or 'data' one cannot compose a mosaic; what matters, however, are not so much the individual bits, but the successive patterns into which you arrange them, then break them up and rearrange them.

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.

Yelp is in a very nice spot: local data, and especially review data, is one of the killer apps on mobile phones.

You can be a fanatical millennialist religious mystic, and you are, in a certain way, not outside of ideology. Your position can be that of perfectly describing the data and nonetheless your point is ideological.

You can lead a horse to water but you can't make him enter regional distribution codes in data field 97 to facilitate regression analysis on the back end.

You can only analyze the data you have. Be strategic about what to gather and how to store it

You cannot have 300-some million Americans - and really, right, the global citizenry be at risk of having their phone conversations intercepted with a known flaw, simply because some intelligence agencies might get some data. That is not acceptable.

You can't publish a paper on physics without the full experimental data and results; that should be the standard in journalism.

You can remain friends, even without EU membership. The Prüm Convention, according to which data for combatting crime is exchanged, is a good example of international cooperation.

You can use all the quantitative data you can get, but you still have to distrust it and use your own intelligence and judgment.

You can use data wrong. It's just like polling. There have been a lot of politicians who go conduct a poll to figure out what they believe.