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The Concept of Intelligent Computing Driven by Big Data
Cloud computing, big data and artificial intelligence complement each other, and no one can do without anyone.

Cloud computing is equivalent to the human brain and the nerve center of the Internet of Things. Cloud computing is a mode of increasing, using and delivering related services based on the Internet, which usually involves providing dynamically scalable and often virtualized resources through the Internet.

Big data is equivalent to the vast amount of knowledge that the human brain remembers and stores from primary school to university. Only through digestion, absorption and reconstruction can this knowledge create greater value.

Artificial intelligence for a person is like absorbing a lot of human knowledge (data), constantly learning deeply and evolving into a superior person. Artificial intelligence is inseparable from big data, and deep learning evolution is completed based on cloud computing platform.

Extended data

Technically, the relationship between big data and cloud computing is as inseparable as the front and back of a coin. Big data can't be processed by a single computer, so distributed computing architecture must be adopted. Its characteristic lies in the mining of massive data, but it must rely on the distributed processing of cloud computing, distributed database, cloud storage and virtualization technology.

In the early days of cloud computing, simply speaking, it was simple distributed computing, solving task allocation and merging calculation results. So cloud computing is also called grid computing. Through this technology, tens of thousands of pieces of data can be processed in a short time (a few seconds), thus achieving powerful network services.