Core Insights - The "AI + Manufacturing" development forum and deep dive event into AI-enabled new industrialization was successfully held during the 2025 World Artificial Intelligence Conference, featuring key figures from government and industry [1][2][11] Group 1: Event Overview - The event was attended by representatives from various countries and over 300 participants from government, industry, academia, and research sectors [1] - Keynote speeches were delivered by prominent figures, including the Chief Scientist of the National Intelligent Control Technology Innovation Center and the Director of the Ministry of Industry and Information Technology's Science and Technology Department [1][11] Group 2: Objectives and Initiatives - The AI-enabled new industrialization initiative aims to enhance the intelligence level of the manufacturing sector through six main tasks, including policy promotion, platform empowerment, and service ecosystem development [2] - The initiative plans to achieve at least 100 supply-demand matches and create no less than 50 benchmark application scenarios to optimize resource supply and support the development of "AI + Manufacturing" in Shanghai [2] Group 3: Technological Developments - China Unicom unveiled its "UniAI·Smart City" strategy and the "Industrial Brain" platform, which includes an industrial data engine and eight industrial scenario intelligent agents [5] - The launch of key platforms such as Industrial Intelligent Cloud and Industrial Corpus Public Service Platform aims to provide integrated services for the manufacturing industry [7] Group 4: Financial Support - Eight major banks announced a joint credit scale of 400 billion yuan to support the "AI + Manufacturing" initiative, offering a diverse range of financial products tailored to different stages of development and enterprise needs [9] Group 5: Expert Insights and Future Vision - Industry experts shared insights on cutting-edge trends and applications in AI-enabled manufacturing, discussing the transformation of production methods and marketing models [11] - The forum set the stage for Shanghai's future in "AI + Manufacturing," emphasizing innovation-driven development and collaboration to accelerate the new industrialization process [16]

Group 1 - China Baowu Steel Group is focusing on using information technology, digitalization, and intelligence to drive innovation in the steel industry, elevating "AI redefining steel" to a company strategy [2] - Baoshan Iron & Steel Co., a flagship subsidiary, has developed a new round of digital transformation strategy marked by "AI+", planning to build 1,000 "AI+" applications to promote digital transformation and intelligent upgrades in the steel industry [3][5] - The "Steel Big Model" developed by Baoshan Software won the SAIL award, recognized for its outstanding contribution to the integration of AI technology and the steel industry [2] Group 2 - The "AI+" overall solution has achieved deep application in 105 typical scenarios, covering 18 core business areas in the steel industry, with a key process coverage rate exceeding 85% [2] - The implementation of smart scheduling has improved production efficiency, with one base achieving an annual increase in efficiency of 1.79 million yuan per machine, potentially increasing annual benefits by over 100 million yuan for the entire base [3] - Baowu is establishing specialized, digital platforms for equipment maintenance, industrial product procurement, and logistics to enhance service efficiency and create a modern service industry system driven by intelligence [4] Group 3 - Baowu has established the Industrial Intelligence Research Institute and the Digital Industry Research Institute to accelerate breakthroughs in core technologies, emphasizing self-controllable technology [5] - The company aims to achieve a transformation from "manufacturing" to "intelligent manufacturing" and from "modern management" to "intelligent management" through a series of key actions [5] - Baowu plans to focus on six key areas, including data foundation construction, deepening the steel big model, empowering transformation through intelligent agents, and enhancing AI innovation demonstration [5]