首届“AI+传统产业”实践应用发展论坛举办 探索人工智能产业化路径

Core Viewpoint - The forum highlighted the transition of artificial intelligence (AI) from isolated applications to deep integration with traditional industries, emphasizing the importance of real-world applications and sustainable collaborative ecosystems for driving high-quality development in the real economy [1][5][10]. Group 1: Forum Highlights - The forum "AI + Traditional Industries" was organized by the China Electronics Chamber of Commerce and foundry group, focusing on how AI can enhance industrial applications and promote economic transformation [1]. - Keynote speakers included representatives from various sectors, discussing the need for AI to move beyond concepts to establish long-term, replicable application paths within industries [5][9]. - The China Electronics Chamber of Commerce's AI Committee released the "2025 AI Industry Development White Paper," outlining the global AI landscape and providing guidance for government and enterprise practices [7]. Group 2: Industry Perspectives - The Shanghai Jiading District emphasized AI as a crucial driver for new productivity and development momentum, particularly in automotive and integrated circuit industries [3]. - Find Steel Network, as a platform rooted in the complex steel industry, has integrated AI capabilities into key operational areas, enhancing efficiency and collaboration [5]. - Industry leaders discussed the structural impact of AI on various sectors, including energy, light industry, infrastructure, healthcare, and electronics, highlighting the need for businesses to leverage AI for industry transformation [8][9]. Group 3: Collaborative Efforts - A roundtable discussion featured representatives from investment institutions, AI tech companies, and academia, focusing on the real-world effectiveness of AI in business and the importance of systematic integration into business processes [9][10]. - The forum concluded with a ceremony to launch initiatives for standardization and ecosystem collaboration, aiming to facilitate AI's sustainable application in industrial contexts [10][11].