According to data released by the Ministry of Industry and Information Technology, as of the end of February this year, the total number of 5G base stations in China reached 3.509 million, and 5G mobile phone users reached 851 million, accounting for 48.8% of mobile phone users. The level of digital empowerment of the real economy has been continuously improved, and the application of 5G industry has been integrated into 71 national economic categories, and has been deeply promoted in the industrial field.

Zhao Zhiguo, chief engineer of the Ministry of Industry and Information Technology, said that digital technology empowerment will be accelerated to promote the development of digital, networked and intelligent manufacturing. This year, the “Artificial intelligence +” action will be carried out to promote the deep integration of artificial intelligence and the real economy, and promote the new industrialization enabled by artificial intelligence.

T9110 Platform-driven to data-driven

From the traditional “man-marking” to the 24-hour no-dead marking by artificial intelligence, the artificial intelligence image recognition and analysis system for the safety hazards of key positions in coal mines built on the basis of Wave Haiyue software is supported by “data + computing power + algorithm”, which can not only monitor and intelligent identify the operating status of coal mine operators and equipment in real time. It can also control the equipment lock or stop when abnormal conditions are found, and remind the staff to deal with it, realizing the leap from manual inspection to intelligent monitoring, and making mine safety production more intelligent and controllable. Wei Daisen, general manager of Inspur Digital Enterprise, said that the innovative application of intelligent technology to “data + computing power + algorithm” enables the intelligent production of traditional industries, which can give birth to new models and new formats.

T9110

The shift from platform-driven to data-driven has become one of the important trends in digital development. Han Jian, director of the Future Industry Research Center of CCID Research Institute, believes that this is essentially a fundamental change in the core of corporate strategy in the digital era. Platform-driven emphasizes on building a strong IT platform to achieve technical advantages and conduct business, while data-driven means more reliance on data collection, analysis and application, making data the core of decision-making.

T9110 Zhao Gang, president of Saizhi Industry Research Institute, said: “Digital development has experienced the stage of informatization, networking and platform, and is entering a new stage of data-driven intelligence. The digital platform is the driving force of the collaborative operation of business processes and solves the problem of market efficiency. The data element is what drives business decisions in an uncertain environment and addresses innovation.”

Zhao Gang believes that the data-driven intelligent transformation is based on the support of “data + computing power + algorithm”, giving full play to the engine role of data elements collaborative optimization, reuse efficiency and integration innovation, accelerating the innovative configuration of various production factors, creating digital intelligent enterprises, and accurately and quickly responding to customer needs and market changes.

“Internally, the decision-making process has shifted from relying on high-level experience and intuition to relying more on data analysis; Marketing strategy has shifted from the traditional model of focusing on advertising effect to the use of data analysis to achieve accurate delivery and effectiveness evaluation. Data-driven means the pursuit of efficiency and effectiveness, which can reduce operating costs, improve response speed, and give enterprises an advantage in the fierce market competition. From an external perspective, data-driven enterprises not only improve their own efficiency, but also facilitate the digital transformation of the industrial chain, supply chain and society as a whole through data sharing and collaboration.” “Han Jian said.