A Quote by Edward de Bono
The analysis of data will not by itself produce new ideas.
Related Quotes
All research in the cultural sciences in an age of specialization, once it is oriented towards a given subject matter through particular settings of problems and has established its methodological principles, will consider the analysis of the data as an end in itself.
There will be many cases when researchers will need to look at data to come closer to a cure, in maybe five years, 10 years, 15 years. We can help make that data analysis easier. We can't let this wait. Dementia has potential to cripple our economy.
Our accent will be upon youth: we need new ideas, new methods, new approaches. We will call upon young students of political science throughout the nation to help us. We will encourage these young students to launch their own independent study, and then give us their analysis and their suggestions. We are completely disenchanted with the old, adult, established politicians. We want to see some new faces -- more militant faces.
Artificial intelligence is just a new tool, one that can be used for good and for bad purposes and one that comes with new dangers and downsides as well. We know already that although machine learning has huge potential, data sets with ingrained biases will produce biased results - garbage in, garbage out.
EMA research evidences strong and growing interest in leveraging log data across multiple infrastructure planning and operations management use cases. But to fully realize the potential complementary value of unstructured log data, it must be aligned and integrated with structured management data, and manual analysis must be replaced with automated approaches. By combining the RapidEngines capabilities with its existing solution, SevOne will be the first to truly integrate log data into an enterprise-class, carrier-grade performance management system.
In working towards ways of reading Mann, so that his own advances in suggesting new perspectives will become more vivid, I do some fairly standard philosophical analysis of ideas in Nietzsche and Schopenhauer.
Ideas matter in New York. I am certain that more conversations in New York are about ideas than anywhere else. Not just vague theories, but ideas that New Yorkers have the will, and the clout, to do something about.
Produce as many ideas as possible. Try to produce unlikely ideas.
Big data will never give you big ideas... Big data doesn't facilitate big leaps of the imagination. It will never conjure up a PC revolution or any kind of paradigm shift. And while it might tell you what to aim for, it can't tell you how to get there
Most executives, many scientists, and almost all business school graduates believe that if you analyze data, this will give you new ideas. Unfortunately, this belief is totally wrong. The mind can only see what it is prepared to see.
Heritage will remain, first and foremost, a research institute dedicated to impeccable research and data-driven policy analysis.
The biggest challenge in big data today is asking the right questions of data. There are so many questions to ask that you don't have the time to ask them all, so it doesn't even make sense to think about where to start your analysis.
It is important to foster individuality, for only the individual can produce the new ideas.
In the last analysis civilization itself is measured by the way in which children will live and what chance they will have in the world
The mind effortlessly and automatically takes in new ideas, which remain in limbo until verified or rejected by conscious, rational analysis.
Race and class are rendered distinct analytically only to produce the realization that the analysis of the one cannot proceed without the other. A different dynamic it seems to me is at work in the critique of new sexuality studies.
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