A Quote by Michael Hintze

You take the noise and put it in data information knowledge, and you get insight from that knowledge. How to execute the trade, the timing, sizing, long, short, and then you risk manage it.
I think there's data, and then there's information that comes from data, and then there's knowledge that comes from information. And then, after knowledge, there is wisdom. I am interested in how to get from data to wisdom.
Data isn't information. ... Information, unlike data, is useful. While there's a gulf between data and information, there's a wide ocean between information and knowledge. What turns the gears in our brains isn't information, but ideas, inventions, and inspiration. Knowledge-not information-implies understanding. And beyond knowledge lies what we should be seeking: wisdom.
Information is not synonymous with knowledge. Information is only data, parts of the whole. Knowledge has a moral imperative to enhance intellectual and spiritual unity.
Now that knowledge is taking the place of capital as the driving force in organizations worldwide, it is all too easy to confuse data with knowledge and information technology with information.
Knowledge is theory. We should be thankful if action of management is based on theory. Knowledge has temporal spread. Information is not knowledge. The world is drowning in information but is slow in acquisition of knowledge. There is no substitute for knowledge.
It is vital to remember that information - in the sense of raw data - is not knowledge, that knowledge is not wisdom, and that wisdom is not foresight. But information is the first essential step to all of these.
Data isn't information; information isn't knowledge; knowledge isn't wisdom.
In a corporate context, companies have to try very hard to oppose the enticements of conventional wisdom. They must aim for the leaps, which means that companies have to do more than simply manage their knowledge, which is composed of the insights and understandings they already know. They also have to manage the knowledge-generation process. It's not just about, "Oh, we're going to create a data warehouse and we are going to invent a computerized filing system to get at all the stuff we know."
The knowledge we now consider knowledge proves itself in action. What we now mean by knowledge is information effective in action, information focused on results. Results are outside the person, in society and economy, or in the advancement of knowledge itself. To accomplish anything this knowledge has to be highly specialized.
Information is just signs and numbers, while knowledge involves their meaning. What we want is knowledge, but what we get is information.
The majority of short term trading results are just random. In the long term the money ends up with those that can trade and manage risk.
When will the first manager manage at a professional level having learned his trade on 'FIFA 16,' '17,' or '18?' I've watched my grandson on it, I've watched him buy players and sell them to get to the top of the league and it's teaching him how to manage. The knowledge base that they build up would be very interesting down the line.
Most people in AI, particularly the younger ones, now believe that if you want a system that has a lot of knowledge in, like an amount of knowledge that would take millions of bits to quantify, the only way to get a good system with all that knowledge in it is to make it learn it. You are not going to be able to put it in by hand.
Many people make the mistake of confusing information with knowledge. They are not the same thing. Knowledge involves the interpretation of information. Knowledge involves listening.
Ever since Sir Isaac Newton's times, scientists have worked in the same sort of way: They show a great respect for experiment and observation, They don't cherry pick data, They take a skeptical approach to what they do. And then scientists work together to get a consensus as to what should be believed And that generates very reliable knowledge and that reliable knowledge drives innovation
Data is not information, information is not knowledge, knowledge is not understanding, understanding is not wisdom.
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