Best 902 quotes in «data quotes» category

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

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

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.

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 don't have to give us your name and we don't ask for your email address. We don't know your birthday. We don't know your home address. We don't know where you work. We don't know your likes, what you search for on the internet or collect your GPS location. None of that data has ever been collected and stored by WhatsApp, and we really have no plans to change that.

You don't get to cut that chain of evidence and start over. You're always going to be pursued by your data shadow, which is forming from thousands and thousands of little leaks and tributaries of information.

You don't just wake up one day with dementia or Alzheimer's; these conditions are developmental. Even when a problem triggers the need to collect data, it's reviewed by a specialist and filed away. There's no central repository allowing information to be shared across a multitude of researchers worldwide.

You have to be willing to have the decision-making follow the data.

You need to marry the qualitative with the quantitative. It better informs us so we can decide what to do. We can't be afraid of data and analysis. We have to use that lens.

A better world won’t come about simply because we use data; data has its dark underside.

Young people live in a society in which every institution becomes an "inspection regime" - recording, watching, gathering information and storing data.

You need to take your gut feeling as an important data point, but then you have to consciously and deliberately evaluate it, to see if it makes sense in this context.

Aim for simplicity in Data Science. Real creativity won’t make things more complex. Instead, it will simplify them.

All data has its beauty, but not everyone sees it.

All businesses could use a garden where Data Scientists plant seeds of possibility and water them with collaboration.

As long as museums and universities send out expeditions to bring to light new forms of living and extinct animals and new data illustrating the interrelations of organisms and their environments, as long as anatomists desire a broad comparative basis human for anatomy, as long as even a few students feel a strong curiosity to learn about the course of evolution and relationships of animals, the old problems of taxonomy, phylogeny and evolution will gradually reassert themselves even in competition with brilliant and highly fruitful laboratory studies in cytology, genetics and physiological chemistry.

Although data can make a compelling case for something, data rarely create the emotions needed to spur people into action

Are you willing to accept anything less than the credit you want, the credit you need and the credit you deserve?

A procession of the damned: By the damned I mean the excluded. We shall have a procession of data that science has excluded. Battalions of the accursed, captained by pallid data that I have exhumed will march. You'll read them, or they'll march. Some of them livid and some of them fiery and some of them rotten. Some of them are corpses, skeletons, mummies, twitching, tottering, animated by companions that have been damned alive. There are giants that will walk by, though sound asleep. There are things that are theorems and things that are rags. They'll go by, like you could, arm-in-arm with the spirit of anarchy. Here and there will foot little harlots. Many are clowns, but many are of the highest respectability. Some are assassins. There are pale stenches and gaunt superstitions and mere shadows and lively malices, whims and amiabilities, the naive and the pedantic and the bizarre and the grotesque and the sincere and the insincere, the profound, and the puerile. A stab and a laugh and the patiently folded hands of hopeless propriety. The ultra-respectable! But the condemned, anyway.

As more and more data flows from your body and brain to the smart machines via the biometric sensors, it will become easy for corporations and government agencies to know you, manipulate you, and make decisions on your behalf. Even more importantly, they could decipher the deep mechanisms of all bodies and brains, and thereby gain the power to engineer life. If we want to prevent a small elite from monopolising such godlike powers, and if we want to prevent humankind from splitting into biological castes, the key question is: who owns the data? Does the data about my DNA, my brain and my life belong to me, to the government, to a corporation, or to the human collective?

Better than a thousand machine learning models, is one Data Scientist that brings value to the organization.

Connecting any strategic infrastructure to the internet makes it vulnerable to security threats and most government systems connected in South are extremely vulnerable to hacking, data leakages and hijacking.

Blogging, writing conventional articles, and being science consultant and pocket protector ninja to various web portals and TV programs, quite often trying to promote the penicillin of hard data to people who had no interest in being cured of their ignorance.

Connected devices and the internet of things will monitor our activities and upload that data. This will be factored into an algorithm to generate an overall score, which can increase or decrease in real-time. People will be able to see their overall fitness going up and down as they’re working out at the gym or eating takeaway pizza and watching Netflix.

By the time your perfect information has been gathered, the world has moved on.

Database Management System [Origin: Data + Latin basus "low, mean, vile, menial, degrading, ounterfeit."] A complex set of interrelational data structures allowing data to be lost in many convenient sequences while retaining a complete record of the logical relations between the missing items. -- From The Devil's DP Dictionary

Data Scientists should refuse to be defined by someone else's vision of what's possible.

Data Scientists should refuse to be denied by someone else's vision of what's possible.

Data levels all arguments.

Data is your Beta...

Everything you see in the world around you is content of some kind. The clothes you wear, the songs you sing, the ads you watch, the food you buy, the tunes you hum and the memes you share. Everything is a signal that sends a message.

Eventually, we may reach a point when it will be impossible to disconnect from this all-knowing network even for a moment. Disconnection will mean death. If medical hopes are realised, future people will incorporate into their bodies a host of biometric devices, bionic organs and nano-robots, which will monitor our health and defend us from infections, illnesses and damage. Yet these devices will have to be online 24/7, both in order to be updated with the latest medical news, and in order to protect them from the new plagues of cyberspace. Just as my home computer is constantly attacked by viruses, worms and Trojan horses, so will be my pacemaker, my hearing aid and my nanotech immune system. If I don’t update my body’s anti-virus program regularly, I will wake up one day to discover that the millions of nano-robots coursing through my veins are now controlled by a North Korean hacker.

Everything that informs us of something useful that we didn't already know is a potential signal. If it matters and deserves a response, its potential is actualized.

Exfiltrated metadata from internet service providers and social media platforms can be plugged into big data analytics and once the right algorithm is applied, can allow an adversary surgically precise psychographic targeting of critical infrastructure executives with elevated privileges. Why is no one talking about this?

Huge volumes of data may be compelling at first glance, but without an interpretive structure they are meaningless.

G. Stanley Hall, a creature of his times, believed strongly that adolescence was determined – a fixed feature of human development that could be explained and accounted for in scientific fashion. To make his case, he relied on Haeckel's faulty recapitulation idea, Lombroso's faulty phrenology-inspired theories of crime, a plethora of anecdotes and one-sided interpretations of data. Given the issues, theories, standards and data-handling methods of his day, he did a superb job. But when you take away the shoddy theories, put the anecdotes in their place, and look for alternate explanations of the data, the bronze statue tumbles hard. I have no doubt that many of the street teens of Hall's time were suffering or insufferable, but it's a serious mistake to develop a timeless, universal theory of human nature around the peculiarities of the people of one's own time and place.

Having more data does not always give you the power to make better decisions.

He handed Mae a piece of paper, on which he'd written, in crude all capitals, a list of assertions under the headline "The Rights of Humans in a Digital Age." Mae scanned it, catching passages: "We must all have the right to anonymity." "Not every human activity can be measured." "The ceaseless pursuit of data to quantify the value of any endeavour is catastrophic to true understanding." "The barrier between public and private must remain unbreachable." At the end she found one line, written in red ink: "We must all have the right to disappear.

If repairing one's credit is as easy as sending some dispute letters to the credit bureaus then why doesn't everyone have good credit?

If we knew what is already there, there will be no need for research.

If the statistics are boring, then you've got the wrong numbers.

In the business people with expertise, experience and evidence will make more profitable decisions than people with instinct, intuition and imagination.

If you don't take good care of your credit, then your credit won't take good care of you.

If you think that one day you gonna lose the all data, you are kind of right from point of view of dead, yeah you will lose it in your mind. Your mind doesn't come in heaven or hell, does it? From other point of view, from cyber point of view again yeah, you are right... one day everything dies.

In a time when society is drowning in tsunamis of misinformation, it is possible to change the world for the better if we repeat the truth often and loud enough.

In the old days, a liberal and a conservative (a “dove” and a “hawk,” say) got their data from one of three nightly news programs, a local paper, and a handful of national magazines, and were thus starting with the same basic facts (even if those facts were questionable, limited, or erroneous). Now each of us constructs a custom informational universe, wittingly (we choose to go to the sources that uphold our existing beliefs and thus flatter us) or unwittingly (our app algorithms do the driving for us). The data we get this way, pre-imprinted with spin and mythos, are intensely one-dimensional.

I kept remembering something Michael Fertik had said to me at the Village Pub in Woodside. 'The biggest lie,' he said, 'is "The Internet is about you." We like to think of ourselves as people who have choice and taste and personalized content. But the Internet isn't about us. It's about the companies that dominate the data flows of the Internet.