Remember, in the heyday of vitalism, people said that when all the data are in about cells and how they work, we will still know nothing about the life force - about the basic difference between being alive and not being alive.
The use of neuroscientific data to help resolve phenomenological questions is proving a common theme in much contemporary thinking about the mind. How rich are the contents of visual perception? Does vision only tell us about shapes and colours, or does it also represent higher categories like lemon or umbrella?
So as soon as you want something to happen you begin skewing the data to support it. Our stuff is invaluable to decision-makers precisely because we have no ax to grind.
It's not just that there is a cooperative spirit of investigation there, where we all recognise that we are engaged in a common project of inquiry. It's also that the philosophers are well-versed in the relevant empirical data, and the scientists are well-versed in the more abstract issues which are typically the central focus of philosophical work.
If we are to believe the evidence from clinical trials there are many effective pharmacological and psychological treatments for mental illness. Epidemiological data, on the other hand, says otherwise.
Technology and the Internet have created a new set of relationships. It's changed the social fabric of promotion: advertising, dating. Part of art world judgment, part of it, is based on people's statistics; their measure of financial value: of likes, of popularity. Data and technology are invading the traditional and classic set of criteria.
I believe that the data will set you free. At the end of the day, it’s about how do you turn those pieces of information into insights that will improve business.
The changes are coming so quickly it's been difficult for workers to retrain themselves and for entrepreneurs to figure out where the next opportunities may be. The catalyst is something called computer learning or artificial intelligence - the ability to feed massive amounts of data into supercomputers and program them to teach themselves and improve their performance.
The art is in preparing the content for optimal human consumption. The data doesn't just talk back to you. You collect, you analyze, you tell stories.
We have 25 or so years invested in the work. Why should I make the data available to you, when your aim is to try to find something wrong with it.
The biggest breakthrough in the next 50 years will be the discovery of extraterrestrial life. We have been searching for it for 50 years and found nothing. That proves life is rarer than we hoped, but does not prove that the universe is lifeless. We are only now developing the tools to make our searches efficient and far-reaching, as optical and radio detection and data processing move forward.
Once the business data have been centralized and integrated, the value of the database is greater than the sum of the preexisting parts.
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!
Still, it is an error to argue in front of your data. You find yourself insensibly twisting them round to fit your theories.
For teachers, getting annual test scores several months after taking the test and in most cases long after the students have departed for the summer sends a message: Here's the data that would have helped you improve your teaching based on the needs of these students if you would have had it in time, but since it's late and there's nothing you can do about it, we'll just release it to the newspapers so they can editorialize again about how bad our schools are.
People are very interested in having access to wireless data while they are on a plane.
Teach where data can be found or how it can be derived, not the recording of data.
The internet explodes when somebody has the creativity to look at a piece of data that's put there for one reason and realise they can connect it with something else.
Urban areas tend to attract members of the 'knowledge class' - people who work with ideas, data, information
Bosses and leaders everywhere should cherish the people who bring them bad news, disappointing data or hard problems.
I could make a film in front of a wall if I knew how to find the data of man's true humanity and how to express it.
Society needs people who...know how to be compassionate and honest...Societ y needs all kinds of skills that are not just cognitive; they're emotional, they're affectional. You can't run the society on data and computers alone.
If you have all the research, all the ground rules, all the directives, all the data - it doesn't mean the ad is written. Then you've got to close the door and write something - that is the moment of truth which we all try to postpone as long as possible.
The concern is over what will happen as strong encryption becomes commonplace with all digital communications and stored data. Right now the use of encryption isn't all that widespread, but that state of affairs is expected to change rapidly.
The best mobile phone had the best mathematician. They know how to fit a huge amount of data into a small amount of space. How to do things efficiently, how to do them cleverly.
Follow AzQuotes on Facebook, Twitter and Google+. Every day we present the best quotes! Improve yourself, find your inspiration, share with friends
or simply: