TLDR: At Siemens Realize LIVE Europe 2025, the company emphasized that AI-powered digital transformation is crucial for navigating complexity and accelerating innovation. With record attendance, the event highlighted how Siemens is integrating AI across its Xcelerator portfolio to enhance speed, clarity, and decision-making in engineering and manufacturing, moving beyond pilot projects to large-scale adoption.
Amsterdam, July 9, 2025 – Siemens Realize LIVE Europe 2025, a premier event for the global Siemens software community, concluded with a clear message: AI-powered digital transformation is not merely a concept but an operational reality essential for future innovation. The conference, which saw record attendance, underscored Siemens’ commitment to enabling faster innovation by embedding intelligence, integration, and collaboration into the digital backbone of manufacturing and product development.
The central theme resonated throughout the event: complexity is not a problem to be solved, but an advantage to be harnessed. This philosophy is being brought to life through the convergence of artificial intelligence (AI), digital threads, and domain-specific Product Lifecycle Management (PLM).
Bob Jones, Chief Revenue Officer and EVP of Global Sales and Customer Success at Siemens, highlighted the urgency of AI adoption. “It’s not just about adopting AI—it’s about being the fastest to adopt it,” Jones stated, emphasizing that speed is paramount in today’s rapidly evolving industrial landscape. He elaborated on how Siemens is strategically accelerating AI integration, moving beyond initial pilot programs to large-scale implementation across its Xcelerator portfolio.
The integration of AI aims to boost speed, clarity, and confidence in decision-making across various operational facets. Key applications showcased at the event include:
Teamcenter Copilot and AI Chat: These tools enable users to query data using natural language, facilitating instant insights through an ‘Ask, find, act’ approach.
RapidMiner: This solution is designed to quickly identify quality issues and recommend effective improvements, accelerating problem resolution.
Dynamic Documents: AI is being leveraged to extract critical procedures from static PDF documents, thereby streamlining training processes and ensuring compliance.
Automated Handoffs: Solutions like Teamcenter, Rulestream, and Mendix are being utilized to streamline design-to-order workflows, enhancing efficiency and reducing manual intervention.
Joe Bohman, EVP of PLM Products, articulated Siemens’ focused approach, stating that the company is “training AI in the language of engineering and manufacturing.” This specialized training ensures that AI applications are not generic automation tools but are deeply integrated and contextually relevant to the specific demands of industrial processes.
The conference also underscored the critical importance of digital continuity, particularly for globally distributed and regulated industries. This continuity is no longer optional but a minimum requirement, transforming engineering knowledge from static documentation into living, operational intelligence. Siemens is championing a PLM architecture that supports this shift, built around secure, object-level data access tailored to specific roles, microservices, and large language models (LLMs) delivering contextual guidance, and a robust digital thread backbone connecting design, production, quality, and support in real time.
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Further advancements discussed included the Xcelerator-as-a-service model and agent-driven automation, alongside the development of regulatory-ready digital twins and enhanced Industry 4.0 interoperability. These initiatives collectively reinforce Siemens’ vision of a future where digital transformation, powered by AI, is the fundamental path forward for industrial innovation.
