JINMING MACHINERY(SZ:300281) Xin Lang Cai Jing·2025-07-24 03:54Core Viewpoint - The interview with Zheng Yun, the Secretary of the Board of Guangdong Jinming Machinery Co., Ltd., highlights the significant impact of artificial intelligence (AI) on the manufacturing industry, emphasizing the transformation towards intelligent manufacturing and the company's strategic initiatives in this area [4][6][7]. Company Overview - Guangdong Jinming Machinery Co., Ltd. is a leading manufacturer and solution provider in the high-end plastic machinery film equipment industry, integrating R&D, design, production, sales, and service. The company is state-controlled and has received multiple honors, including being a national high-tech enterprise and a key enterprise in the equipment manufacturing sector [6]. - The company exports products to over 50 countries and regions, including Japan, Israel, Russia, Central Europe, and Southeast Asia, serving various industries such as civil, agriculture, industrial, electronics, new energy, and medical [6]. Industry Trends - The global manufacturing sector is undergoing a profound transformation centered on digitalization and intelligence, with AI, big data, and the Internet of Things reshaping the competitive landscape. The Chinese intelligent manufacturing market is projected to exceed 5 trillion yuan by 2025 [7]. - AI is driving the transformation and upgrading of the manufacturing industry, enhancing efficiency, evolving products, and fostering new business models. The shift from "experience-driven" to "data intelligence" is crucial for improving existing processes and driving product iteration [7]. AI Initiatives - Jinming Machinery is actively pursuing the "Jinming Industry 4.0" innovation path, emphasizing the importance of AI applications in high-end equipment manufacturing. The company signed a cooperation agreement with Professor Peng Yijie from Peking University to explore the deep integration of AI and high-end equipment manufacturing [8]. - The collaboration focuses on four key areas: new quality development, management upgrades, service optimization, and talent cultivation. This includes building an enterprise knowledge management and AI retrieval platform, creating a data-driven intelligent decision-making ecosystem, and developing an AI-driven customer support platform [9]. - The partnership aims to combine top academic expertise with industry experience, demonstrating the company's commitment to enhancing industry capabilities and management upgrades [9].