Core Insights - Artificial intelligence technology is deeply and broadly integrating into the manufacturing industry, becoming a core engine driving industrial transformation [1] Group 1: Recommendations for Manufacturing Industry - Comprehensive review of pilot results and experiences in intelligent manufacturing is suggested to transform them into overall advantages for the province [1] - Summarization of practices like "data asset valuation for equity" in Wuxi and formulation of unified operational guidelines with clear process standards is recommended [1] - Reference to the "data treasury + data components + data intellectual property + scenario applications" reform pilot experience in Xuzhou to establish provincial industrial data component standards [1] Group 2: Financial Tools and Policy Development - Evaluation and standardization of financial tools explored by various regions should be conducted to build a provincial "AI + manufacturing" policy toolbox [1] - Development of specialized, high-level "AI + manufacturing" cross-industry integration service institutions is encouraged to bridge the gap between technology supply and manufacturing demand [1] Group 3: Support for Small and Medium-sized Enterprises - Emphasis on open-source sharing to lower the technical barriers for small and medium-sized manufacturing enterprises in their intelligent transformation [1] - Launch of an "industry basic model casting and popularization plan" focusing on key sectors to develop lightweight AI foundational models and create a "model supermarket" [1] - Encouragement for leading enterprises to open technology platforms to upstream and downstream partners and co-build application scenarios in the industrial chain [1]
加快我省制造业智能化提质升级
Xin Hua Ri Bao·2026-02-04 23:11