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If the data do not prove that indexing wins, well, the data are wrong.
We're rapidly entering a world where everything can be monitored and measured. But the big problem is going to be the ability of humans to use, analyze and make sense of the data.
There's strong data that, within companies, the No. 1 reason for ethical violations is the pressure to meet expectations, sometimes unrealistic expectations.
The so-called co-efficient of heritability, which I regard as one of those unfortunate short-cuts, which have often emerged in biometry for lack of a more thorough analysis of the data.
The same past data can confirm a theory and its exact opposite! If you survive until tomorrow, it could mean that either a) you are more likely to be immortal or b) that you are closer to death.
Research data on climate change do not show that human use of hydrocarbons is harmful. To the contrary, there is good evidence that increased atmospheric carbon dioxide is environmentally helpful.
The errors which arise from the absence of facts are far more numerous and more durable than those which result from unsound reasoning respecting true 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.
The boom is called good business, prosperity, and upswing. Its unavoidable aftermath, the readjustment of conditions to the real data of the market, is called crisis, slump, bad business, depression.
One of the applications of Big Data is giving people the facts, and getting them to understand that their own decision-making is not perfect. And that in itself causes them to change their behavior
I tell people to start implementing when they are pretty sure there aren't more important stories out there. An iteration's worth of data is worth months of speculation.
Devices are getting smarter - your television, your car - and that means more data spread around. There needs to be a fabric that connects all these devices. That's what we do.
I find more and more executives less and less well informed about the outside world, if only because they believe that the data on the computer printouts are ipso facto information.
You have to have access to ideas. The Internet is facilitating that access to ideas. In 25 years, the way that data's going to flow back and forth, we don't quite understand yet.
I would say that hardware is the bone of the head, the skull. The semiconductor is the brain within the head. The software is the wisdom and data is the knowledge.
Lithium is like a beautiful lady, very much sought and pursued, especially in Bolivia. There is data indicating Bolivia has the largest reserves of lithium in the world.
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.
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.
Scientists do not collect data randomly and utterly comprehensively. The data they collect are only those that they consider *relevant* to some hypothesis or theory.
I've always found the world is the most extraordinarily fascinating place and the more data you get, the more you can actually put pieces into this jigsaw.
I am not inspired by helping you find Chinese food at 2am in Dallas, or swipe right to get laid. I want to use tech and data to make the world a better place.