Cognitive computing
Cognitive computing has been described by some people as computers that imitate the human brain, are self-aware, and are able to act on their own will. However, this is giving computers considerably too much credit for what they are actually able to accomplish on their own. They are not able to understand information in a human fashion and therefore are unable to apply the probabilities as a person would.
In order to try to make up for some of the shortcomings of a computer system’s abilities to handle complex problems, data experts have tried to bring down the number of variables that these computers have to work with. However, by doing this they are actually making it less possible for accurate outcomes and possible solutions to be found by the computer’s query.
Solving complex problems through cognitive computing requires the use of software that applies an everyday kind of reasoning combined with a revolutionary form of mathematics and the use ordinary words and statements to help the computer to create rules. This allows it to apply probabilities in order to analyze the context and focus on the specifics of the search to be able to find the relevant information that is being sought.
The problem-solving approach of cognitive computing relies on and is fueled by the type of complex information that Big Data is made up of. It allows for the filtering of unnecessary or useless information that gets in the way of what is actually being sought.
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