Core Viewpoint - The Ministry of Industry and Information Technology has released an action plan to promote the integration of artificial intelligence and industrial internet, aiming to upgrade over 50,000 enterprises by 2028, enhancing the capabilities of industrial internet and AI integration [1]. Group 1: Infrastructure Upgrade Actions - Accelerate the intelligent upgrade of industrial networks by utilizing technologies such as 5G, edge computing, and cloud control to support new industrial intelligent demands [1]. - Focus on developing new industrial network products like programmable logic controllers (PLC) and AI routers to enhance self-organizing and self-optimizing network capabilities [2]. Group 2: Enhancing Industrial Internet Platform Intelligence - Strengthen the capabilities of industrial internet platforms through deep learning and large models, encouraging low-code and no-code innovations to improve app development efficiency [3]. - Explore the creation of a "model pool" on industrial internet platforms to foster the development of industrial model products [4]. Group 3: Strengthening Industrial Computing Power Supply - Accelerate the integration of industrial internet with computing centers to provide public computing services to industrial enterprises [5]. - Encourage the deployment of edge computing devices and smart gateways to enhance real-time data processing capabilities [6]. Group 4: Data Model Interoperability Actions - Promote the application of information models in industrial enterprises to facilitate the sharing of heterogeneous industrial data [7]. - Establish a national industrial data directory by aggregating key supply chain and industrial data [8]. Group 5: Accelerating Industrial Model Development - Guide industrial internet platform companies to standardize and encapsulate industrial knowledge into models, enhancing their reasoning and data processing capabilities [9]. - Encourage the development of interconnected interfaces for industrial models to improve collaboration between large and small models [9]. Group 6: Application Model Transformation Actions - Encourage industrial enterprises to leverage industrial internet for data flow between consumption and production, and to adopt AI for intelligent analysis [10]. - Develop AI-based virtual production lines to enhance decision-making capabilities in production activities [10]. Group 7: Promoting Key Industry Applications - Implement "chain-network collaboration" projects in key industries such as steel, aviation, and electronics to facilitate digital transformation and intelligent upgrades [12]. Group 8: Strengthening Key Enterprise Cultivation - Promote the development of intelligent system integration capabilities among industrial enterprises and encourage the emergence of specialized service providers in industrial data and models [13]. Group 9: Accelerating Technological Product Innovation - Encourage collaboration among AI, industrial internet, and control enterprises to advance the intelligent upgrade of industrial communication technologies [14]. - Optimize industrial software development processes using AI to reduce costs and improve efficiency [15].

Core Viewpoint - The Ministry of Industry and Information Technology has issued an action plan to enhance the integration of industrial internet and artificial intelligence, aiming for significant improvements by 2028 in various sectors through upgraded infrastructure, data model interoperability, innovative application modes, and a cohesive industrial ecosystem [1][2][3]. Summary by Sections Overall Requirements - The action plan aims to deepen the integration of artificial intelligence in the industrial sector, enhancing the competitiveness of the information and communication industry and supporting the transition to a higher-end global value chain by 2028 [3]. Infrastructure Upgrade Actions - Accelerate the intelligent upgrade of industrial networks using technologies like 5G, edge computing, and cloud control to meet new industrial demands [4]. - Improve the intelligence level of industrial internet platforms by leveraging deep learning and low-code technologies to enhance resource allocation and application development [5]. - Strengthen the supply of industrial computing power by integrating industrial internet with various computing centers and promoting the deployment of intelligent devices [6]. Data Model Interoperability Actions - Encourage the sharing of industrial data across various sources and establish a national industrial data directory to enhance data collaboration and analysis [7]. - Support the construction of high-quality industry data sets to meet the needs of industrial model training and application [8]. - Enhance the efficiency of industrial model development and deployment by standardizing and encapsulating industrial knowledge and processes [9]. Application Mode Innovation Actions - Promote the transformation of application modes in industries by utilizing industrial internet to streamline data flows between production and consumption, enhancing intelligent analysis and decision-making capabilities [10]. - Accelerate the promotion of industrial internet applications in key industries, providing guidelines and resources for digital transformation [11]. Industrial Ecosystem Integration Actions - Foster the development of intelligent solution providers by encouraging collaboration among industrial enterprises, internet companies, and AI firms [13]. - Support innovation in technology products, focusing on the intelligent upgrade of industrial communication and control systems [14]. - Optimize public service capabilities to provide low-cost intelligent services to small and medium-sized enterprises [14]. Guarantee Measures - Strengthen coordination for the integration of industrial internet and AI, encouraging local governments to develop supportive policies and funding mechanisms [15].

Core Insights - The Ministry of Industry and Information Technology (MIIT) has issued the "Action Plan for the Integration of Industrial Internet and Artificial Intelligence" to accelerate the intelligent upgrade of industrial networks [1] Group 1: Industrial Network Upgrades - The plan emphasizes the need for industrial enterprises to comprehensively utilize technologies such as 5G/5G-A, industrial optical networks, Time-Sensitive Networking (TSN), Single-Pair Ethernet (SPE), edge computing, and cloud-based control to promote the integrated evolution and capability upgrade of industrial networks [1] - New industrial network application models will be explored to meet the emerging demands of industrial intelligence, including collaborative production of intelligent equipment, industrial model training and inference, and communication interaction of industrial intelligent agents [1] Group 2: Product Development and Innovation - The initiative aims to accelerate the development of products such as 5G programmable logic controllers (PLCs), AI routers, and industrial computing network switches [1] - A rolling release of a new product catalog for industrial networks will be implemented, focusing on the transformation of key industries to adopt new industrial network technologies [1] - The goal is to establish intelligent network capabilities that are self-organizing, self-managing, self-optimizing, and self-repairing [1]