多部门协同部署“人工智能+”，全力推进规模化商业化应用

Core Viewpoint - The article discusses the recent approval of the "Artificial Intelligence +" action plan by the State Council, emphasizing the need for large-scale commercialization and application of artificial intelligence (AI) across various sectors to drive economic and social development [3][4][6]. Group 1: Policy and Government Initiatives - The State Council's meeting highlighted the acceleration of AI technology and the importance of implementing the "Artificial Intelligence +" action plan to leverage China's complete industrial system, large market scale, and rich application scenarios [3][4]. - Various government departments, including the National Development and Reform Commission (NDRC) and the Ministry of Industry and Information Technology (MIIT), are actively deploying policies to support AI integration into traditional industries and promote new strategic industries [4][6][7]. Group 2: AI Commercialization and Application - The NDRC emphasized the strong demand for AI applications, indicating that the technology is at a critical window for practical implementation, with significant potential to reduce costs and improve productivity across industries [6][7]. - The article notes the emergence of new intelligent products and scenarios, such as smart connected vehicles and smart home devices, which are increasingly being integrated into daily life and industrial processes [6][7]. Group 3: Infrastructure and Data Support - The article outlines the necessity of optimizing the AI innovation ecosystem by enhancing the supply of computing power, algorithms, and data, which are fundamental to AI development [9][10]. - The NDRC plans to advance the construction of computing power infrastructure and promote high-quality data supply and circulation to support AI applications [9][10]. Group 4: Role of State-Owned Enterprises (SOEs) - The State-owned Assets Supervision and Administration Commission (SASAC) has initiated the "AI +" special action for central enterprises, focusing on applying AI in key industries such as manufacturing and energy, resulting in over 500 application scenarios [12][13]. - Central enterprises are expected to lead in AI development, leveraging their access to vast industry data to enhance AI model training and performance [14][15].