Artificial Intelligence Leads China's Manufacturing Industry Reform

At the 2019 China Development High-Level Forum held from March 23 to 25, the role of artificial intelligence in assisting industries and enterprises has become a topic of concern to people from all walks of life, and it has been through many discussions in the conference. The industry believes that with the new round of scientific and technological revolution and industrial revolution in the world, the emerging technology groups will break through, and artificial intelligence will lead the transformation of manufacturing models and corporate forms.

Miao Wei, Minister of the Ministry of Industry and Information Technology, said that in the era of Internet, artificial intelligence, green energy and bioengineering, various new technologies are leading or leading the profound changes in the manufacturing industry, especially in the current round of technological revolution and industrial transformation. Under the conditions, the role of innovation is more prominent. “Digitalization, networking and intelligence of the manufacturing industry have become the development trend, and intelligent manufacturing has become the direction of development.”

Miao Wei pointed out that for China's manufacturing industry, the key to achieving high-quality development lies in whether it can achieve the fundamental transformation of innovation-driven development. In this respect, we still have some gaps, and there is still a lot of work to be done. It is necessary to further deepen the reform of the science and technology system and deploy the innovation chain around the industrial chain to improve the ability of scientific and technological innovation to support the development of the industry.

Ning Jizhe, deputy director of the National Development and Reform Commission, said that China will strengthen the construction of a national innovation system, study and plan a new round of comprehensive innovation and reform experiments, and lay a close emphasis on the layout of national laboratories and the construction of several national manufacturing innovation centers in key areas. Strengthen the replenishment of major technical equipment, vigorously support key core technologies, and actively promote the development of a new generation of artificial intelligence.

For the development of artificial intelligence in China, BMW Group Chairman Kruger said that China is in a leading position in the field of artificial intelligence. I believe that China will make significant progress in smart cities in the next few years.

Yang Haoyong, the founder of the car group, said that thanks to China's big data and algorithmic experience, the application of AI in the used car industry in China has accelerated the leap-forward development of the industry. We have crossed the experience of the master. The rule-based expert system of the used car developed market for more than 30 years directly enters the era of artificial intelligence based on machine learning and deep learning. It crosses the offline brand chain mode and directly enters the new retail business model. The process, we only used for 3 years.

“Artificial intelligence is used in every field. It is a subversive use, restructuring the entire industry or it will bring a concept of injecting AI or AI+. This past and future will be different.” Chairman of Innovation Workshop CEO Kai-Fu Lee pointed out that AI+ will be the most important trend in the future. China has 17 human intelligence unicorns, we are very proud. He pointed out that artificial intelligence has to enter the traditional field, and traditional companies have to embrace artificial intelligence. With the AI from a very high-tech, very top-notch black technology, slowly into the mainstream. In the mainstream process, the final biggest beneficiary should be the traditional industry.

Li Kaifu said, "In the future, artificial intelligence will enter different companies, so the inevitable path of AI is the road that the government should support. The way our investors pay more attention to is how traditional companies use AI."

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