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世界互联网大会:2025人工智能驱动实数融合发展研究报告(中译版)(19页).pdf

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1、April 2025China Mobile Think Tank(CMTT)Outcomes of World Internet Conference Think Tank Cooperation ProgramResearch Report on AI-Empowered Integrated Development of Real and Digital EconomiesContributing TeamWei ChenguangChina Mobile Think Tank(CMTT)HeadDeputy HeadLin LinDepartment of User and Marke

2、t Research,CMTTZhang ZhengDepartment of User and Market Research,CMTTLi JiannanDepartment of User and Market Research,CMTTXie QifangDepartment of User and Market Research,CMTTZhang RuruDepartment of User and Market Research,CMTTWang BoDepartment of User and Market Research,CMTTMembersE-mail:PrefaceT

3、he integration of real and digital economies leverages the widespread use of digital technologies to drive the digital transformation and upgrading of traditional industries and promote revolutions in the quality,efficiency and drivers of economic growth.In 2023,the scale of the global digital econo

4、my topped US$40 trillion,to which China contributed over 17%.The integration of real and digital econo-mies is crucial to promoting industrial transformation and upgrading,fueling economic recovery and steady growth,improving social services,and enhancing international competitiveness.Since OpenAI r

5、eleased ChatGPT at the end of 2022,the global AI sector has ushered in an unprece-dented wave of development.Taking a significant step towards smarter and more flexible general intelligence from special-purpose intelligence that focuses on single tasks,AI has become a key pillar of economic and soci

6、al transformation.At present,global AI technology is permeating all areas of the digital economy at a faster pace,and have been widely used in many parts of agriculture,industry and services,and increasingly been able to empower high-value scenarios,making them the core driving force for the integra

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本文主要内容为关于人工智能(AI)赋能实体经济与数字经济融合发展的研究报告。报告首先指出,AI已成为推动第四次工业革命的核心技术力量,通过创新算法模型、数字基础设施快速部署、应用场景持续拓展,AI技术为实体经济与数字经济融合提供了强大动力。报告详细分析了AI在研发设计、制造运营、仓储物流、安全保障等领域的应用,并指出当前AI技术在实际应用中仍面临模型技术可用性需提高、技术嵌入商业系统存在风险、企业转型能力受限等挑战。最后,报告提出了加强技术创新、夯实数据基础、强化治理能力、共建应用生态等发展前景,以期推动实体经济与数字经济深度融合。
人工智能如何推动实体经济与数字经济融合发展? 我国在人工智能领域的发展现状及未来趋势是什么? 人工智能在传统产业转型升级中面临哪些挑战?
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