Siemens Attends The CIIE For The Eighth Time: How Industrial AI Drives A Dual Leap in Efficiency And Green Transformation For Chinese Enterprises

At the 8th China International Import Expo (CIIE) in 2025, Siemens, a consistent participant, once again showcased its significant achievements under the theme "Technology for Every Day," presenting over 10 industrial AI products and solutions, along with numerous implementation initiatives. In the current context of the global AI wave and the convergence of "dual carbon" goals, Siemens' participation not only demonstrates the deep penetration of industrial AI from technology to application scenarios but also provides a valuable practical path for Chinese enterprises to achieve a "dual leap" in efficiency improvement and green transformation.

Industrial AI: The Key to Solving the "Efficiency-Low Carbon" Synergy Challenge for Enterprises

Currently, Chinese enterprises face the dual challenge of "both improving efficiency and achieving low-carbon transformation." In traditional production models, efficiency optimization and energy consumption control often present a contradiction-blindly pursuing production capacity may lead to energy waste, while simply reducing energy consumption may disrupt production rhythm. The emergence of industrial AI precisely breaks this dilemma. It's not simply a matter of adding up technologies; rather, it's about deeply integrating artificial intelligence with industrial scenarios through a closed loop of "data collection - intelligent analysis - precise decision-making - dynamic execution," achieving a "smart" manufacturing upgrade across the entire production process.

Dr. Xiao Song, Executive Vice President of Siemens Global and Chairman of Siemens China, pointed out that the core value of industrial AI lies in "using high-quality data, deep industry knowledge, and the advantages of integrated hardware and software to bring AI from the 'laboratory' to the 'manufacturing floor.'" This "scenario-based AI" can accurately capture hidden problems in production, improving equipment utilization, shortening R&D cycles, optimizing energy consumption, and reducing carbon emissions, becoming a core driving force for enterprises to achieve "efficiency and green development in parallel."

Multi-industry Implementation: The Path to Realizing the Value of Industrial AI
At this year's China International Import Expo (CIIE), Siemens showcased the practical effectiveness of industrial AI through case studies from typical industries such as metallurgy, automotive, and chemicals, proving that it is not just "a castle in the air," but a tool that can create real value for enterprises.

•  Metallurgical Industry: AI-Powered Intelligent Agents Activate Traditional Production Capacity: A copper smelting AI intelligent agent system, jointly developed with China Fifteenth Metallurgical Construction Corporation, integrates real-time data from 11 process stages with expert knowledge, solving problems such as copper content fluctuations and temperature control. This has improved the stability of matte grade by 15%, significantly enhancing production safety and environmental compliance.
•  Automotive Manufacturing: Generative AI Shortens Production Line Cycles: The pilot application of Industrial Copilot (a generative industrial AI assistant) in EMB intelligent assembly equipment for new energy vehicles, combined with standardized solutions and a robot library, has shortened program development time and on-site debugging cycles by 30% each, and reduced labor and material losses by 10%.
•  Chemical Industry: Data Intelligence Drives End-to-End Process Optimization: A Shanghai chemical company, leveraging the Altair RapidMiner platform, has built over 30,000 machine learning models covering all areas of manufacturing and supply chain. This has reduced equipment downtime by 20%, increased production efficiency by 20%, and achieved the triple goals of cost reduction, efficiency improvement, and energy conservation.

Ecosystem Co-creation

Siemens Xcelerator Accelerates the Large-Scale Deployment of Industrial AI: The large-scale deployment of industrial AI relies on open ecosystem collaboration. Siemens' Xcelerator platform, as its core carrier, has gathered over 300 partners in China, with over 60% being AI-related companies and contributing one-third of the co-created solutions. At this year's China International Import Expo (CIIE), the platform announced two key initiatives to further improve its industrial AI ecosystem:

•  An Industrial AI-themed channel: This channel integrates cutting-edge information, AI products, implementation cases, and developer resources in one place, providing entrepreneurs with application scenarios and matching solutions for customers, building a closed-loop AI ecosystem that links supply and demand; the simultaneously launched Green and Low-Carbon-themed channel strengthens the synergistic empowerment of "AI + Low-Carbon".
•  The platform's marketing intelligence agent, Xplorer: This agent accurately identifies customer needs through multimodal interaction, recommends solutions based on an industry knowledge base, and provides intelligent shopping guides for merchants, optimizing product selection and procurement decisions and uncovering potential business opportunities.

In addition, Siemens presented the third annual "Zero Carbon Pioneer Award," continuing its commitment to the "Zero Carbon Pioneer Program." Currently, it has 11 national-level green factories in China, helping tens of thousands of customers and over 500 suppliers reduce carbon emissions, driving sustainable development through the power of its ecosystem.

Conclusion: Co-creating a New "Efficient and Green" Future with Industrial AI

From its first participation in the China International Import Expo (CIIE) to its eighth, Siemens has witnessed and participated in the transformation and upgrading of Chinese industry. Today, industrial AI has become a core engine driving enterprises' "dual leaps" (e.g., rapid transformation and upgrading), and Siemens, leveraging its technological accumulation, scenario implementation, and ecosystem building, is providing Chinese enterprises with holistic solutions ranging from "single-point optimization" to "full-chain upgrading."

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