Siemens Embarks On A New Chapter Of Industrial Digital-Real Integration With Its Industrial AI Operating System

As artificial intelligence moves from the laboratory to the production line, how to truly implement AI technology in industrial scenarios and achieve large-scale application has become a core issue in the digital transformation of the manufacturing industry. On March 23, 2026, the Siemens RXD Conference (Real Meets Digital) was grandly opened in Beijing, bringing together more than 2,000 industry elites to witness the key leap of industrial AI from experimental exploration to large-scale deployment. At this conference, Siemens officially anchored its industrial AI "operating system" strategy, releasing 26 new edge, automation, and control technologies. Simultaneously, it deepened its cooperation with local partners such as Alibaba, using a dual-engine approach of "technology + ecosystem" to truly implement industrial AI in factories, infrastructure, and supply chains, injecting intelligent momentum into the high-quality development of the real economy.

Core Breakthrough: The Industrial AI "Operating System" Reconstructs the Underlying Logic of Digital-Real Integration

The large-scale implementation of industrial AI cannot be separated from the support of the underlying technological system. In his keynote speech, Sir Robert H. Bogle, Chairman, President and CEO of Siemens AG, stated that bringing AI into the real world requires more than just excellent models; a robust industrial AI "operating system" connecting data, software, and smart hardware is essential. This technology stack is not a single product, but rather an integration of Siemens' full-stack capabilities in automation, electrification, and digitalization. Leveraging the open digital business platform Siemens Xcelerator, it integrates and opens up technological capabilities, enabling companies of different industries and sizes to easily access and implement industrial AI capabilities.

Siemens believes the core value of this industrial AI "operating system" lies in breaking down the barriers between the digital and physical worlds, allowing AI to move from "generative intelligence" to "execution intelligence." This concept forms the core logic of the technology launches at this conference. From industrial infrastructure to the manufacturing execution layer, from simulation technology to green energy-saving solutions, Siemens launched 26 new products that comprehensively cover all key aspects of industrial AI implementation, ensuring that intelligent decision-making truly translates into practical actions on the production line.

Ecosystem Collaboration: Deepening Cooperation with Alibaba to Activate Local Innovation

Ecosystem collaboration is a key lever for the large-scale deployment of industrial AI, and the Chinese market is the core of Siemens' ecosystem strategy. At this conference, Siemens and Alibaba announced a deepened strategic partnership, deeply integrating global technological advantages with local Chinese innovation to create a new paradigm for the implementation of industrial AI. The two companies will integrate Siemens' advanced simulation product portfolio with Alibaba Cloud's computing power and infrastructure capabilities to launch Computer-Aided Engineering (CAE) services delivered in an IaaS model for the Chinese market, creating a scalable cloud simulation environment that includes virtual simulation equipment and high-performance computing (HPC) clusters. This collaboration will significantly lower the barrier for enterprises to use advanced simulation technologies, allowing engineering teams to efficiently run complex simulation tasks without investing in high hardware costs, and quickly respond to R&D and production needs thanks to the elasticity of cloud computing.

More importantly, the two companies will also jointly explore the AI ​​capabilities upgrade of Siemens' Product Lifecycle Management (PLM) software based on Alibaba's Qianwen Big Data Model. This collaboration deeply integrates AI big data models with industrial software, opening up new possibilities for AI engineering workflows and intelligent product development. It allows products to benefit from AI-driven efficiency improvements throughout their entire lifecycle-from design and development to production-truly realizing a new "digital-intelligent integration" product development model. Xiao Song, Chairman, President and CEO of Siemens China, stated that in the era of industrial AI, only a robust ecosystem can unleash the infinite potential of AI. Siemens will continue to combine its global technological advantages with China's innovation speed and industrial scale to empower high-quality growth for customers in China and globally.

Infrastructure Empowerment: Building a Reliable Green Foundation for the AI ​​Era

The infrastructure of the AI ​​era requires smarter, more reliable, and greener technological support. Addressing the development needs of high-density intelligent computing centers and AI infrastructure, Siemens launched a new generation of electrification and AI-enabled infrastructure technologies, laying a solid foundation for the AI ​​economy. The locally developed new generation DC circuit breaker, SENTRON 3VD, provides stable DC power distribution for high-performance intelligent computing centers with high reliability, efficiently meeting the rapidly growing energy density demands of these centers and solving the power supply pain point for AI infrastructure.

In terms of green energy conservation, Siemens' Turing Cooling AI Box was a major highlight. This AI-powered cooling solution, relying on edge computing and self-learning algorithms, can analyze and continuously optimize cooling system operation data in real time. While improving cooling efficiency, it helps enterprises save up to 30% on energy and carbon emissions. It is widely applicable to high-density cooling scenarios such as data centers, commercial buildings, and industrial parks, providing a new solution for the green development of AI infrastructure. In addition, Siemens also launched industrial connectivity and industrial data solutions, as well as infrastructure protection technologies. The former enables data flow and system integration for intelligent industrial operations, while the latter provides stable protection for systems carrying large-scale AI workloads, comprehensively building an infrastructure system for the AI ​​era.

Implementation: AI Empowers Manufacturing Lines, Bridging the Last Mile

The manufacturing execution layer is the last mile of industrial AI implementation and a key link in translating intelligent decisions into actual production actions. At this conference, Siemens released several AI-enabled technologies for the manufacturing execution layer, combining global technology leadership with local innovation in China, truly bringing industrial AI to the front line of the workshop. The new-generation programmable logic controller (PLC), the S7 200 SMART G2, became the focus of the event. This locally developed product achieves a significant leap in performance and storage capacity. Featuring a compact design and blade-type structure, it supports up to 19 module configurations and comes standard with dual Ethernet interfaces, making it suitable for small to medium-sized automation projects with up to 500 points. Simultaneously, its motion control capabilities have been greatly upgraded, enabling the creation of 16 motion axes to easily meet high-end control requirements such as flying shears and tracking shears, becoming the "smart brain" for real-time equipment coordination and management.

At the motion control level, the S200 compact servo system precisely translates digital instructions into physical movements of robots and equipment, solving the precision execution challenges on the shop floor with higher control accuracy, lower system complexity, and lower cost. In addition to hardware upgrades, Siemens also launched AI-enabled industrial operation optimization applications. Among them, the predictive maintenance software SiePA Pro can analyze critical asset operating data in real time, identify equipment anomalies in advance, and issue warnings, effectively avoiding economic losses caused by unplanned downtime. These technological innovations collectively strengthen the execution capabilities of industrial AI, enabling intelligent systems to truly achieve "insight into action" in modern production environments.

Summary: Leveraging Technology and Ecosystem to Usher in a New Era of Large-Scale Industrial AI

From building a technological system to collaborating with ecosystem partners, from supporting infrastructure to implementing it at the manufacturing execution layer, Siemens' actions at this year's RXD conference outlined a clear path for the large-scale deployment of industrial AI. The proposal of an industrial AI "operating system" is not merely an upgrade of a single technology by Siemens, but a reconstruction of the underlying logic of industrial digital transformation-connecting the entire industry chain with an open technology stack, adapting to local needs through deep ecosystem cooperation, and bridging the implementation process with solid product technology.

In the current era of deep integration between artificial intelligence and the real economy, Siemens is using "technology as the core and ecosystem as the wings" to move industrial AI from concept to practice, and from single-point applications to large-scale deployment. This deepened cooperation with Alibaba and the launch of 26 new technology products not only implement Siemens' own technology strategy but also provide a "Chinese solution" for the global development of industrial AI. In the future, with the continuous evolution of the industrial AI "operating system" and the constant improvement of the ecosystem, more enterprises will be driven to achieve digital and intelligent transformation, enabling industrial manufacturing to usher in a new era of higher quality, more efficient and more sustainable development under the empowerment of AI.

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