Liu Wei interviewed
Data is the core of AI development, and data opening and data sharing are important factors in promoting the integration of AI and the real economy.Liu Wei suggested that, on the one hand, we should increase data openness and lower the threshold of data use; on the other hand, all sectors of society should fully explore data exchange models, open up channels for data and information sharing, and build bridges for cooperation and exchange and interaction. At the same time, there should be new requirements in data governance, and finding the right balance in the levers of data openness and privacy protection is an important step to improve the acceptance of AI.
Innovative talents are an important support for the integration of artificial intelligence and the real economy. Liu Wei said that in order to cultivate innovative talents in the field of artificial intelligence, it is necessary to establish a core technology talent training system, promote the construction of artificial intelligence disciplines, improve people's scientific and technological literacy, strengthen the flow of talents from enterprises and academia, and build a solid talent base for technological innovation and product development. Second, it is necessary for enterprises to provide a platform for AI talents to learn and exchange, and a stage to display their skills and talents, as well as to innovate incentive mechanisms to encourage employees to continuously explore their potential and drive the rapid value-added of human capital of the whole enterprise.
In addition. The combination of technology and industry needs to be matched with corresponding application scenarios in order to promote the effective transformation of scientific and technological achievements and reflect their value in the formation of products. Liu Wei believes that the exploration of AI scenarios in the real economy should be promoted to further release AI vitality and manifest the charm of innovation-driven development by reorganizing processes in the real economy segment and optimizing data and application scenarios.
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