Recently, Dell Technologies focused on showcasing innovative achievements in the fields of private cloud and storage, intelligent data platforms, and network elasticity. Liu Zhihong, general manager of the storage business of Dell Technology Group's Greater China Information Infrastructure Solutions Division, pointed out in a communication with Sina Technology, “Currently, the explosion of intelligent applications is becoming a trend, but not many are actually being implemented on a large scale in enterprises.” “The core difficulty ultimately boils down to a question: How exactly is intelligence achieved?” According to Liu Zhihong, whether it is the intelligence of a robot or the intelligence of an intelligent body, to reach or even surpass the level of a human, it must go through an extensive training process. Intelligent applications are inseparable from algorithms, computing power, and data, but there are vendors in the algorithm and computing power market. What really determines the upper limit of intelligence is actually data. He metaphorically said that college students may not be directly competent when they graduate and enter a company, because every company has its own technical know-how. “Even if the computing power is the same and the model is the same, the level of intelligence that will eventually be cultivated will be different.” This also intuitively illustrates the fact that compared to algorithms and computing power, what really determines an enterprise's intelligence capabilities is the quality and quantity of an enterprise's own data. This cannot be replaced by others. It is the real card point for enterprise intelligence applications, and it determines what level of intelligence an intelligent application can achieve.

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