Metaprograms are programs that manipulate themselves or other programs as data.
You can use all the quantitative data you can get, but you still have to distrust it and use your own intelligence and judgment.
Information is just bits of data. Knowledge is putting them together. Wisdom is transcending them.
We discovered that there are actually fewer companies actually buying data.
[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."
The conclusion of design flows naturally from the data; we should not shrink from it; we should embrace it and build on it.
Those who rule data will rule the entire world.
Whether or not I like a piece of data has very little bearing on whether or not I am likely to accept it.
There's something that happens with the collection of a large amount of data when it's dumped into an Excel spreadsheet or put into a pie chart. You run the risk of completely missing what it's about.
We live in a society bloated with data yet starved for wisdom. We're connected 24/7, yet anxiety, fear, depression and loneliness is at an all-time high. We must course-correct.
The problem for most self-starting leaders who do not have a mentor begins when they measure the results and find themselves fully aware of the data and the analytics, but are completely unaware of what to do.
You cannot prevent collisions if the data that can prevent them is still making its way through the network.
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.
Thinklogical's systems play a key role in the delivery and visualization of mission critical data used every day by military and intelligence communities worldwide.
I was really intrigued by the idea of using live streams of data that's relevant to real people, and that would allow us to reflect and learn about ourselves.
I say I write extrapolations. I look at data points and ask what the world could look like.
The data on which philosophical theorizing is based are rather the intuited contents themselves, concerning the various thought experiments. At least that is so outside the epistemology of the a priori.
Our view is that if the network is involved, then we are there to protect it. Based on that, future developments will revolve around ensuring data, networks and applications are protected.
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.
The fact that data is always evolving is a good thing. It means that science is continuing, and we are always learning.
Every company today is a data company whether they realize it or not.
When a human being becomes a set of data on a website like Facebook, he or she is reduced. Everything shrinks. Individual character. Friendships. Language. Sensibility.
Individuals should be able to monetise their own data - that's their own human value - not to be exploited.
I think that we are trying to put data communications, telecommunications and media communications together and be the No. 1 player there.
I love data. I think it's very important to get it right, and I think it's good to question it.
Opposition to immigration is an emotional argument, and human beings are emotional, not robots powered by data.
The big mystery of Big Data is causation versus correlation.
Here's why most campaigns get data wrong. They treat it as an afterthought and they treat it as sort of a logistic.
In the absence of good scientific data about the effects of artificial hallucinogens it's good to stick to the natural ones.
If we stay focused on data and the real issues, we can tailor our inventions to enhance public health and safety while decreasing the likelihood of racial discrimination.
Those who call me an opportunist are following the old rule: If you can't attack the data, attack the person.
Information agencies operate in an industry that values data. Restricted access to information is what makes it valuable.
In the hands of Science and indomitable energy, results the most gigantic and absorbing may be wrought out by skilful combinations of acknowledged data and the simplest means.
Big data knows and can deduce more about you than Big Brother ever could.
There will be hundreds of new companies that will be created to develop these very simple data devices.
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.
When science and the Bible differ, science has obviously misinterpreted its data.
The key to good decision making is evaluating the available information - the data - and combining it with your own estimates of pluses and minuses. As an economist, I do this every day.
Amazon is famously run by studying and responding to its own data; yet when it comes to promotions, decisions are often subjective and guided by human emotions and petty political dynamics.
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.
ICT careers are becoming more complex as a result of the digital revolution, where smarter connections are being made between people, processes, data, and things.
You know something is wrong when the government declares opening someone else's mail is a felony but your internet activity is fair game for data collecting.
At KaBOOM! we are crowd-sourcing a nationwide Map of Play that uses GIS data and user rankings to identify where the engaging playgrounds are located, but more importantly, where they are not.
We have the data to prove to men that gender equality is not a zero-sum game, but a win-win.
It's amazing how much data is out there. The question is how do we put it in a form that's usable?
We're guided by consumer data, and it helps give us the confidence to invest where the consumer is going.
Our view is that sensitive, contractual, market-moving, private data should be kept private.
Biographical data, even those recorded in the public registers, are the most private things one has, and to declare them openly is rather like facing a psychoanalyst.
In a world without love, this is what people are to each other: values, benefits, and liabilities, numbers and data. We weigh, we quantify, we measure, and the soul is ground to dust.
With faster Internet and better computers, you'd better believe we're creating and consuming more digital data.
I've seen how the issues that come across a president's desk are always the hard ones - the problems where no amount of data or numbers will get you to the right answer.
I'm getting hassled by a couple of people to release the CRU station temperature data. Don't any of you three tell anybody that the UK has a Freedom of Information Act.
In economics, it is easier to agree on the data than to agree on causality.
You can't talk about big data without talking about things like privacy and ownership.
The best data we have [concerning the Big Bang] are exactly what I would have predicted, had I nothing to go on but the five books of Moses, the Psalms, the bible as a whole.
To write it, it took three months; to conceive it three minutes; to collect the data in it all my life.
My radio show, I'd show up, I'd read the data, and I would have sound bites and stuff like that.
To provide affordability, we have made a few acqui-hires such as a data analytics firm to help us deliver the cheapest room prices in every town.
Most companies don't want their data co-mingled with other customers. Small companies will tolerate it.
While it may be disappointing, I have to confess to people who ask for my insights on the meaning of it all that astronomy doesn't provide any clearly useful data on matters of sin and souls.
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