Vision of Industrial Innovation Guided by Artificial Intelligence

Abstract

This article proposes that only by prioritizing the formulation of data rights protection and circulation rules that adapt to the development characteristics of the artificial intelligence industry, can the compliance costs of enterprises be reduced, and ultimately, high-quality datasets can be developed and utilized to promote innovation in the artificial intelligence industry and to form a new engine for social progress in the 21st century. The action research includes supporting the development of public clouds, orderly guiding departments, units, and individuals to purchase public cloud computing resources and services, and avoiding duplicate construction of intelligent computing centers. The research project emphasizes the need to guide and support enterprises to increase cloud computing, computing power leasing, algorithm valuation, and arithmetic purchasing through social forces, reduce the cost pressure of user research and application development, deepen industrial integration, and expand application scenarios. This article proposes that data elements should not be limited to addition empowerment, but should focus on multiplier mechanisms. Firstly, we need to accelerate the expansion of artificial intelligence big data open innovation platforms, while encouraging enterprises and research institutions to share high-quality corpus resources. We also need to support professional data annotation and cleaning preprocessing work, ultimately opening up a high-quality data source for building big models.