Shulou(Shulou.com)06/02 Report--

"artificial intelligence (AI)" and "big data (Big Data)" are familiar popular terms, but there may be some confusion. What are the differences between artificial intelligence and big data? Next, the editor of Cang 37 will introduce to you.

What is artificial intelligence?

Artificial intelligence is a form of computing that allows machines to perform cognitive functions, such as acting or responding to input, similar to what humans do. Traditional computing applications also respond to data, but both responses and responses must be manually coded. If any type of error occurs, like an unexpected result, the application cannot respond. Artificial intelligence systems constantly change their behavior to adapt to changes in survey results and modify their responses.

What is big data?

Big data (Big Data), which refers to the data set that can not be captured, managed and processed by conventional software tools within a certain time range, is a massive, high growth rate and diversified information asset that requires a new processing model to have stronger decision-making power, insight and process optimization ability. Big data takes data as the core resource, and finally realizes the value of the data through collection, storage, processing, analysis, application and display.

What is the difference between artificial intelligence and big data?

Big data is the original input that needs to be cleaned, structured and integrated before the data becomes useful, while artificial intelligence is the output, the intelligence generated by processing the data. This makes the two fundamentally different.

Artificial intelligence is a form of computing that allows machines to perform cognitive functions, such as acting or responding to input, similar to what humans do. Artificial intelligence systems constantly change their behavior to adapt to changes in survey results and modify their responses. The purpose of artificial intelligence system is to analyze and interpret data, and then solve practical problems according to these explanations. Artificial intelligence is about making better decisions about decision-making and learning. In some ways, artificial intelligence will replace or partially replace human beings to accomplish certain tasks, but faster and fewer mistakes than human beings.

Big data is a kind of traditional calculation. It doesn't act on the results, it just looks for the results. It defines a very large dataset, and there can be structured or unstructured data (and there are differences in usage). Big data is mainly to gain insight.

The above is the editor's introduction to the difference between artificial Intelligence and big data. Artificial intelligence and big data have both connections and differences, and can work together. Artificial intelligence needs to be taught and trained by big data through experiments and error learning, and artificial intelligence needs to rely on big data to establish its intelligence. while big data plays a role in artificial intelligence, artificial intelligence developers must not forget to collect and use big data reasonably and pay attention to the protection of personal privacy. Artificial intelligence for intelligent analysis of data is only a part of artificial intelligence, not all.

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