Best 902 quotes in «data quotes» category

Early in a startup, product decisions should be hunch driven. Later on, product decisions should be data driven.

Education helps you to be a well-rounded person, period. It teaches you how to take in information and data, process it, and use it for life building. Education was key in my family. You were going to college.

Education is not the piling on of learning, information, data, facts, skills, or abilities--that's training or instruction--but is rather a making visible what is hidden as a seed... To be educated, a person doesn't have to know much or be informed, but he or she does have to have been exposed vulnerably to the transformative events of an engaged human life... One of the greatest problems of our time is that many are schooled but few are educated.

Education is not the piling on of learning, information, data, facts, skills, or abilities-that's training or instruction-but is rather making visible what is hidden as a seed.

E-mail, when it became mobile - what happened? Utilization of email went through the roof. Just pure Internet access and data - what happens when you mobilize it? Multiples. People are dependent upon broadband and as you mobilize it, they become even more dependent on broadband.

EMA research evidences strong and growing interest in leveraging log data across multiple infrastructure planning and operations management use cases. But to fully realize the potential complementary value of unstructured log data, it must be aligned and integrated with structured management data, and manual analysis must be replaced with automated approaches. By combining the RapidEngines capabilities with its existing solution, SevOne will be the first to truly integrate log data into an enterprise-class, carrier-grade performance management system.

Emphasize your strengths on your resume, in your cover letters and in your interviews. It may sound obvious, but you'd be surprised how many people simply list everything they've ever done. Convey your passion and link your strengths to measurable results. Employers and interviewers love concrete data.

Engineering, I think you can pick up. [A data scientist's] curiosity is built-in

English general and singular terms, identity, quantification, and the whole bag of ontological tricks may be correlated with elements of the native language in any of various mutually incompatible ways, each compatible with all possible linguistic data, and none preferable to another save as favored by a rationalization of the native language that is simple and natural to us.

Errors using inadequate data are much less than those using no data at all.

Euclid 's manner of exposition, progressing relentlessly from the data to the unknown and from the hypothesis to the conclusion, is perfect for checking the argument in detail but far from being perfect for making understandable the main line of the argument.

Even more important than statistics is then having the staff that can take the data and ensure it's presented in a way that improves individuals and teams.

Even the best data security systems can't protect private taxpayer information from entrepreneurial foreign businesses than can make huge profits selling U.S. taxpayer information.

Even the new feminist research on sex-role socialization and sex differences has sometimes had the unfortunate consequence of creating a new set of stereotypes about what women feel and how women behave. Despite the large amount of overlap between the sexes in most research, the tendency to label and polarize and thus to exaggerate differences remains in much reporting of data, which may, for example, report the mean scores of male and female populations but not the degree of overlap.

Eventually, we need to have computers that work differently from the way they do today and have for the past 60-plus years. We're capturing and generating increasingly massive amounts of data, but we can't make computers that keep up with it. One of the most promising solutions is to make computers that work more the way brains work.

Ever since Sir Isaac Newton's times, scientists have worked in the same sort of way: They show a great respect for experiment and observation, They don't cherry pick data, They take a skeptical approach to what they do. And then scientists work together to get a consensus as to what should be believed And that generates very reliable knowledge and that reliable knowledge drives innovation

Everybody is connected to everybody else, all data that can be shared will be shared: get used to it.

Every failure contains valuable data that will point you in the right direction.

Every credible scientist on earth says your products harm the environment. I recommend paying weasels to write articles casting doubt on the data. Then eat the wrong kind of foods and hope you die before the earth does.

Everyone has options. They are a fixed set of predetermined scenarios, points of view, perceived limitations that already reside in your data bank. If you depend on your options to formulate your future, that future will be no more than a rearrangement of your past. Then he says, “Possibilities are completely different. When you ask ‘what is possible?’ you must stretch your imagination out of the confines of the familiar. To live a life beyond the mediocre, ask not ‘what are my options?’ but ‘What is possible?’

Every good writer I know needs to go into some deep, quiet place to do work that is fully imagined. And what the Internet brings is lots of vulgar data. It is the antithesis of the imagination. It leaves nothing to the imagination.

Every second of every day, our senses bring in way too much data than we can possibly process in our brains.

Everyone knows, or should know, that everything we type on our computers or say into our cell phones is being disseminated throughout the datasphere. And most of it is recorded and parsed by big data servers. Why do you think Gmail and Facebook are free? You think they're corporate gifts? We pay with our data.

Everything we do in the digital realm - from surfing the Web to sending an e-mail to conducting a credit card transaction to, yes, making a phone call - creates a data trail. And if that trail exists, chances are someone is using it - or will be soon enough.

Everything I write, I believe instinctively, is to some extent collage. Meaning, ultimately, is a matter of adjacent data.

Extreme views are never just; something always turns up which disturbs the calculations formed upon their data.

Except in expert hands, stats can get in the way of story; an array of data that might better be presented in a table instead clogs up sentences.

Facts and data, rather than opinion, are the two cornerstones of problem solving, and yet they are consistently withheld from the people by American media. We must have facts and data in order to recognize where there is a problem!

Experts often possess more data than judgment.

Few intellectual tyrannies can be more recalcitrant than the truths that everybody knows and nearly no one can defend with any decent data (for who needs proof of anything so obvious). And few intellectual activities can be more salutary than attempts to find out whether these rocks of ages might crumble at the slightest tap of an informational hammer.

For all the claims one hears about the liberating impact of the data-net, the truth is that it's wished on most of us a brand-new reason for paranoia.

Film is the packaging of information in cans. Videotape is involved with the feeding back of process. Film rips information away from the situation for use elsewhere. Videotape can be fed back into a given situation and enrich experience. Film extends man as a spectator. Videotape extends man as a cybernator. Film imports information. Videotape implodes indigenous data.

Fiction is a web of lies that attempts to entangle the truth. And autobiography may well be the reverse: data tricked up and rearranged to invent a fictive self.

Finding patterns is easy in any kind of data-rich environment; that's what mediocre gamblers do. The key is in determining whether the patterns represent signal or noise

For decades, I thought that scientific truth, solid economic case studies, and common sense were enough to bring about change on the environmental front. After all, the data is so compelling! I thought that if people just understood the severity of today's environmental threats and knew about available solutions, those solutions would happen. Not so.

Getting the word out that, yes vaccines are great, the safety data's very, very clear, including any of these specific concerns, that's very important to our foundation.

For me art is a continuous discovery into reality, an exploration of visual data which has been going on for centuries, each artist contributing to the next generation's advancement. I wanted to go a step further and extend the boundaries.

Get the weirdnesses into the data where you can manipulate them easily, and the regularity into the code because regular code is a lot easier to work with

Given for one instant an intelligence which could comprehend all the forces by which nature is animated and the respective positions of the beings which compose it, if moreover this intelligence were vast enough to submit these data to analysis, it would embrace in the same formula both the movements of the largest bodies in the universe and those of the lightest atom; to it nothing would be uncertain, and the future as the past would be present to its eye.

For me the information has to remain incredibly neutral. It's what I would call 'ice-like' information. I receive very rapid impressions. I don't have to sit there and concentrate. Because, if I start to really focus, my conscious mind begins to apply data, which is not accurate.

For nearly a century the psychoanalysts have been writing op-ed pieces about the workings of a country they've never traveled to, a place that, like China, has been off-limits. Suddenly, the country has opened its borders and is crawling with foreign correspondents, neurobiologists are filing ten stories a week, filled with new data. These two groups of writers, however, don't seem to read each other's work. That's because the analysts are writing about a country they call Mind and the neuroscientists are reporting from a country they call Brain.

Generally, the craft of programming is the factoring of a set of requirements into a a set of functions and data structures.

Global warming alarmists invariably try to make their case by resorting to rhetoric, dogma, opinion, and emotion. The closest thing to scientific data in their articles is the occasional chart claiming a poorly understood correlation between atmospheric CO2 and the Earth's temperature.

Google has placed its faith in data, while Apple worships the power of design. This dichotomy made the two companies complementary. Apple would ship the phones and computers, while Google would provide Maps, Search, YouTube, and other web tools that made the devices more useful.

Good communication is not just data transfer. You need to show people something that addresses their anxieties, that accepts their anger, that is credible in a very gut-level sense, and that evokes faith in the vision.

Google is famous for making the tiniest changes to pixel locations based on the data it accrues through its tests. Google will always choose a spartan webpage that converts over a beautiful page that doesn't have the data to back it up.

Governance allows organizations...t o use critical data to drive the organization.

Good science is all about following the data as it shows up and letting yourself be proven wrong, and letting everything change while you're working on it - and I think writing is the same way.

Graphic designers are idea embalmers, loving undertakers preserving bits of data like to many butterflies pinned to felt in a jewel box.

He became another data point in the American experiment of self-government, an experiment statistically skewed from the outset, because it wasn't the people with sociable genes who fled the crowded Old World for the new continent; it was the people who didn't get along well with others.