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热词推荐: 能源基础设施

中国数智赋能的重点领域与实现路径

文章摘要

数智赋能是“数据+算力+算法”驱动下的新型赋能技术、方式、思维与手段,呈现数智化、平台化、场景化等特征,而微观企业、中观产业和宏观实体经济三个层面则拓展延伸其外延。数智赋能以产业为主要载体,主要涉及数智农业、数智制造业、数智服务业,以及为现代化产业体系建设提供服务保障的数智政务四大领域。充分发挥数智赋能作用,应增强数据、算法、算力等基础支撑能力,支持数字平台企业及其生态创新发展,促进数据、技术、平台与场景深度融合,加快制度创新和治理环境优化。

Abstract

Data-Intelligence Empowering refers to a novel form of empowerment that is powered by “data+computing power+algorithms” and involves innovative technologies,methods,and ways of thinking. Micro enterprises,meso industries,and the macro real economy are the three levels from which it expands and extends its extension. It displays traits like digitization,platformization,and scenario-based. Digital agriculture,digital manufacturing,digital services,and digital governance—which offers services and guarantees for the development of modernized industrial systems—are the four key industries that data-intelligence empowering uses as its primary carrier. To fully take use of data-intelligence empowering,enhancing fundamental support capabilities like data,algorithms,and processing power is important. We also need to encourage deep integration of data,technology,platforms,and scenarios,support the creative development of digital platform enterprises and their ecosystems,speed up institutional innovation,and improve the governance environment.

作者简介
李晓华:李晓华,中国社会科学院社会发展战略研究院研究员,博士,主要从事数字经济与产业数字化转型、全球产业链价值链、战略性新兴产业与未来产业相关领域研究。
龚伟:龚伟,中国社会科学院大学应用经济学院博士研究生,主要从事数字经济相关领域研究。