A Quote by Erik Brynjolfsson
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.
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Basically, if you want to have a computer system that could pass the Turing test, it as a machine is going to have to be able to self-reference and use its own experience and the sense data that it's taking in to basically create its own understanding of the world and use that as a reference point for all new sense data that's coming in to it.
People think 'big data' avoids the problem of discrimination because you are dealing with big data sets, but, in fact, big data is being used for more and more precise forms of discrimination - a form of data redlining.
The ability to collect, analyze, triangulate and visualize vast amounts of data in real time is something the human race has never had before. This new set of tools, often referred by the lofty term 'Big Data,' has begun to emerge as a new approach to addressing some of the biggest challenges facing our planet.
The whole enterprise of teaching managers is steeped in the ethic of data-driven analytical support. The problem is, the data is only available about the past. So the way we've taught managers to make decisions and consultants to analyze problems condemns them to taking action when it's too late.
KPMG's use of IBM Watson technology will help advance our team's ability to analyze and act on the core financial and operational data so central to the health of organizations and the capital markets.
The whole enterprise of teaching managers is steeped in the ethic of data-driven analytical support. The problem is, the data is only available about the past. So the way weve taught managers to make decisions and consultants to analyze problems condemns them to taking action when its too late.
The three parts of the theory are analytical ability, the ability to analyze things to judge, to criticize. Creative, the ability to create, to invent and discover and practical, the ability to apply and use what you know.
Fluid intelligence is not a Big Five personality trait: It's a measurement of one's ability to rapidly learn and apply a rule set. As an entrepreneur, you're rapidly dealing with different issues, and your ability to switch from one issue to another is very important.
I can only speak to the Democrat side, but for the Democrats, everything is aggressively measured, and what that means is if you're going to use Snapchat, you're going to use it for a reason, not just for fun.
Intuition is neither the ability to engage prophecy
nor a means of avoiding financial loss or painful relationships.
It is actually the ability to use energy data
to make decisions in the immediate moment.
The world is one big data problem.
One [Big Data] challenge is how we can understand and use big data when it comes in an unstructured format.
We know growing technological developments in artificial intelligence, automation and big data mean that democratic socialism in the 21st century must adapt to such a rapidly changing world.
Intrinsic value is not measured by how much money you make,
it's measured by the size of the problem you solve.
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.
My job is to analyze our data set to understand it and build products on it. I look at raw data, do the math to clean it up, and build systems to make it easy to understand.
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