Now everyone is talking about big data. What can Big Data bring to enterprises? How can Big Data bring the greatest benefits to enterprises?
With the advent of the big data era, data engineers, data analysts, and other related positions were born based on the needs of data analysis. Today, AI technologies are also entangled.
Xie Liang, Chief Scientist of the Data Science Department of Didi, said: "If there is a large amount of data, businesses that can find a certain rule based on data and perform operations can use machine learning methods for automation and optimization."
However, today's data analysts can not only use an Excel sheet to "go all over the world", but also need to embrace new changes and arm themselves with new technologies, such as AI technology, that doesn't mean we need to master this technology in depth? No. It has some basic programming capabilities to turn new technologies into advanced weapons for your career. In short, from the perspective of its development trend, data analysis is no longer simply an index of data analysis, or perhaps more called "Intelligent Data Analysis ".
Regarding the future of enterprise data analysis, Yi Guan CTO Guo Wei asserted that "data is always temporary, and analysis is always time-sensitive. Real-time Data analysis is the only way for enterprises to develop AI ."
At the enterprise level, an enterprise with powerful data analysis and AI technology capabilities is generating tremendous energy.
The use of AI technology to process various complex data is an unstoppable trend in the future, but it is still facing the problem of insufficient computing resources. Many enterprises are trying to increase the computing speed and reduce the computing power cost. WhereTersa supercomputing NetworkIt is a relatively good cloud computing platform designed for AI development. It can increase the computing speed by 10 times and reduce the computing cost by 70%. Therefore, it has become the first choice for many small and medium-sized enterprises.
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