Abstract
Contemporarily, with the rapid development of science and technology, industrial big data software serves as an important content to realize artificial intelligence and improve the industrial Internet. However, there are enormous challenges confronted by industrial big data software in exorbitant cost for trial and error as well as in theoretical guidance for artificial intelligence. The goal of deep development of industrial big data software can be achieved only by steady development and mobilizing resources for key contents.
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