For calculation cognitive, insight and is just one of the prediction. However, cognitive computing more emphasis on natural interaction between people and machines, these dimensions are not the traditional big data analysis are emphasized.
Cognitive computing is through natural language to communicate with people and to continue learning, to help people achieve more systems, from hardware architecture to algorithmic strategies, from programming to combine multiple academic fields such as industry expertise, enabling people better get more insight from vast amounts of complex data, in order to make more accurate decisions.
At IBM, we simplify it summarized, with large-scale learning system based on objective reasoning, and ability to interact with human nature.
What is the difference of cognitive computing and artificial intelligence is?
While some of the elements of cognitive computing, including artificial intelligence, but the former is a broader concept. Cognitive computing is not made "for people thinking" machines, but with the "increase human intelligence" related, can help us think better and make more comprehensive decisions.
The concept of artificial intelligence has been twenty years, artificial intelligence and research from a historical perspective, the main purpose is to make the machine appear "more human", we call IntelligentBehavior.
IBM's cognitive computing from a technical point of view and artificial intelligence is a lot of common areas, such as machine learning (MachineLearning), aspects of deep learning (DeepLearning) and so on are very similar.
However, IBM's cognitive computing purpose is not to replace people, but IntelligentBehavior is only one dimension of cognitive computing. Cognitive Computing in addition to be able to show a more human and computer interaction natural and smooth, there will be more emphasis on reasoning and learning, and how such capabilities combined with specific business applications, solving business problems.
Cognitive Computing and Big Data Analytics What's the difference?
Big Data Analytics dimension belong to a cognitive computing. Compared with large data, a wider range of cognitive computing, technology is more advanced.
Cognitive Computing and Big Data analysis has similar technology, such as large amounts of data, machine learning (MachineLearning), industry models, large data analysis, more emphasis is to get insight, predicted by these insights. In addition, the traditional big data analytics will use the model or machine learning, but more by the experts.
For calculation cognitive, insight and is just one of the prediction. However, cognitive computing more emphasis on natural interaction between people and machines, these dimensions are not the traditional big data analytics emphasized.
In addition, a field of cognitive computing is growing rapidly as the depth of learning (DeepLearning), its learning with traditional methods, the more is to get such a model self-paced study based on large amounts of data without the need for a lot of human intervention, in terms of learning from this large data analysis and there are many different places.
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