Best 902 quotes in «data quotes» category

...a vocal minority of scientists so mistrusts the models and the complex fragmentary data, that some claim that global warming is a hoax. They have made public statements accusing other scientists of deliberate fraud in aid of their research funding. Both sides are now hurling personal epithets at each other, a very bad development in Earth sciences.

Bad programmers worry about the code. Good programmers worry about data structures and their relationships.

Because we're always more woundable when caught at exactly the time where we're in the mood for that particular product or service - and as Big Data increasingly are able to pick up on clues revealing desire - automated systems are increasingly able to hit at exactly those moments, across those channels we move - with an offer matching exactly what we're desiring.

Before anything can be reasoned upon to a conclusion, certain facts, principles, or data, to reason from, must be established, admitted, or denied.

Belief Systems contradict both science and ordinary "common sense." B.S. contradicts science, because it claims certitude and science can never achieve certitude: it can only say, "This model"- or theory, or interpretation of the data- "fits more of the facts known at this date than any rival model." We can never know if the model will fit the facts that might come to light in the next millennium or even in the next week.

Beware of the problem of testing too many hypotheses; the more you torture the data, the more likely they are to confess, but confessions obtained under duress may not be admissible in the court of scientific opinion.

Big data isn’t about bits, it’s about talent.

Big data is at the foundation of all of the megatrends that are happening today, from social to mobile to the cloud to gaming.

Big data is great when you want to verify and quantify small data - as big data is all about seeking a correlation - small data about seeking the causation.

Big data will never give you big ideas... Big data doesn't facilitate big leaps of the imagination. It will never conjure up a PC revolution or any kind of paradigm shift. And while it might tell you what to aim for, it can't tell you how to get there

Big Data will spell the death of customer segmentation and force the marketer to understand each customer as an individual within eighteen months, or risk being left in the dust.

Birth order effects are like those things that you think you see out of the corner of your eye but that disappear when you look at them closely. They do keep turning up but only because people keep looking for them and keep analyzing and reanalyzing their data until they find them.

Both history and contemporary data show that countries prosper more when there are stable and dependable rules, under which people can make investments without having to fear unpredictable new government interventions before these investments can pay off.

Bosses and leaders everywhere should cherish the people who bring them bad news, disappointing data or hard problems.

Both Newton and Darwin were driven by the data and were forced to recognize that they couldn't explain everything. It may be a characteristic of great scientists to know what to accept and what to leave out.

[Brazil] went to the UN and said, "We need new standards for this." We need to take a look at what they're calling "data sovereignty.

But even if you thought they were adequate at the time, when you're collecting data in bulk-you've got it. The data lasts until you delete it; the rules only last until you decide to change them, and change them in secret.

But actually theory is very practical. Gravity is a theory, for example. It allows you to predict that if you step off a cliff you will fall; you don't have to collect data on that.

But what I would say to my successor is that it is important not just to shoot but to aim. And it is important, in this seat, to make sure that you're making your best judgments based on data, intelligence, the information that's coming from your commanders and folks on the ground and you're not being swayed by politics.

Chemistry is necessarily an experimental science: its conclusions are drawn from data, and its principles supported by evidence from facts.

By analyzing data from Greenwich Observatory in the period 1836-1953, John A. Eddy [Harvard-Smithsonian Center for Astrophysics and High Altitude Observatory in Boulder] and Aram A. Boornazian [mathematician with S. Ross and Co. in Boston] have found evidence that the sun has been contracting about 0.1% per century during that time, corresponding to a shrinkage rate of about 5 feet per hour. And digging deep into historical records, Eddy has found 400-year-old eclipse observations that are consistent with such a shrinkage.

Cancer is really a slew of rare diseases. Lung cancer has 700 sub-types, breast cancer has 30,000 mutations which means that every cancer in its own right is a rare disease. Sharing data globally in this context is really important from a life-threatening perspective.

Cats vary so widely that all data is meaningless and the professional classifiers gnash their teeth trying to come up with even a single fact common to all.

Companies that actually survive and flourish are going to change their business model from production to aggregating the networks and the network services and solutions. If you're a construction company or an IT company or a logistics company or an information data operation, to the extent that you can find ways to help build the commons, you can get some commercial value in that.

Cloud storage in data centers will utilize the latest developments in physical storage virtualization, deduplication and other methods to make the most effective use of physical storage assets. Software defined storage could allow a further level of abstraction and cost effectiveness. The vast bulk of content stored "in the cloud" will reside on large SATA interface HDDs with some on magnetic (mostly LTO) tape (particularly for "archives.")

Computer science only indicates the retrospective omnipotence of our technologies. In other words, an infinite capacity to process data (but only data -- i.e. the already given) and in no sense a new vision. With that science, we are entering an era of exhaustivity, which is also an era of exhaustion.

Concepts are vindicated by the constant accrual of data and independent verification of data. No prize, not even a Nobel Prize, can make something true that is not true.

Cloud computing offers individuals access to data and applications from nearly any point of access to the Internet, offers businesses a whole new way to cut costs for technical infrastructure, and offers big computer companies a potentially giant market for hardware and services.

Data coming out our ears but we lack narrative.

Context is to data what water is to a dolphin

Data about an innovative idea is rarely crystal clear.

Data can't speak for itself; it's up to you to give it a voice. Try to speak truthfully.

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.

Data is a precious thing and will last longer than the systems themselves.

Data is great, but strategy is better

Data is not information, Information is not knowledge, Knowledge is not understanding, Understanding is not wisdom.

Data really powers everything that we do.

Data in our psychic program is often nonlinear, nonhierarchical, archaic, alive, and teeming with paradox. Simply booting up is a challenge, if not for no other reason than that most of us find acknowledging the unknowable and monitoring its intrusions upon the familiar and mundane more than a little embarrassing.

Data is the fabric of the modern world: just like we walk down pavements, so we trace routes through data, and build knowledge and products out of it.

Data only exists within the framework of a vision you're building to, a hypothesis of where you're moving to.

Daymark asks the right question. So we get it right the first time. We didn't want to overbuy or underbuy. They understood our business and our data. Daymark knew exactly which models we should order - not too much, not too little.

Consumers deserve to know exactly what they're getting for their money when they sign-up for a 4G data plan.

Customers need to be given control of their own data-not being tied into a certain manufacturer so that when there are problems they are always obliged to go back to them.

Data are just summaries of thousands of stories - tell a few of those stories to help make the data meaningful.

Data don't generate theory - only researchers do that.

Data-driven statistics has the danger of isolating statistics from the rest of the scientific and mathematical communities by not allowing valuable cross-pollination of ideas from other fields.

Data is a lot like humans: It is born. Matures. Gets married to other data, divorced. Gets old. One thing that it doesn't do is die. It has to be killed.

Data is gathered all the time. Just take your mobile phone. Geo-location data collected by your (mobile phone service) provider is not just about your movements. It's about who you are with and what you will do next.

Data isn't information, any more than fifty tons of cement is a skyscraper.

Data is of course important in manufacturing, but I place the greatest emphasis on facts.