Representative End User Clients
Representative Automation Clients
Representative Software Clients
KEYWORDS: Digital Twin, Simulation, Artificial Intelligence, Manufacturing, Siemens
Executive Summary
At Siemens Realize LIVE Europe, end-user presentations provided valuable insight into how leading industrial companies are approaching the adoption of digital technologies and the transformation of engineering and manufacturing processes. While technology providers naturally focus on product capabilities and roadmap announcements, the customer presentations offered a practical view of what it actually takes to deploy digital threads, digital twins, AI, cloud platforms, and low-code technologies across complex global organizations.
As manufacturers continue to move from digital transformation toward digital continuity, Siemens appears well positioned to support this transition.
Additional perspectives were provided through joint presentations delivered together with consultants, implementation partners, and system integrators. These sessions offered a broader view of transformation programs, covering not only technology choices but also implementation approaches, organizational challenges, governance models, and lessons learned from working closely with user organizations. As a result, attendees gained a more complete understanding of both the opportunities and the realities of digital transformation, including best practices as well as common pitfalls.
Despite representing diverse industries - including automotive, aerospace, rail transportation, industrial machinery, additive manufacturing, glass manufacturing, and precision engineering - a remarkably consistent message emerged across the presentations. Organizations are moving beyond isolated digital initiatives toward end-to-end digital continuity, supported by integrated platforms that connect engineering, manufacturing, supply chain, service, and operational data across the product lifecycle.
The discussions were notably pragmatic. Rather than focusing solely on technology deployment, presenters repeatedly highlighted governance, standardization, data quality, collaboration, knowledge management, and change management as the primary determinants of success. Many organizations described transformation programs that were as much about changing organizational behavior and business processes as they were about implementing new software platforms.
Artificial intelligence was another recurring topic, but it was rarely presented as a standalone objective. Instead, AI was consistently positioned as the outcome of years of investment in digital foundations, including lifecycle management, data governance, process standardization, and digital-thread initiatives. The common message was that AI delivers value only when supported by trusted, connected, and contextualized data.
Overall, the user presentations reinforced a key observation: digital transformation is increasingly evolving into digital continuity. The leading organizations are no longer focused solely on digitizing individual processes or deploying isolated applications. Instead, they are creating connected digital environments that enable information to flow seamlessly across functions, support better decision-making, and provide the foundation for future AI-enabled engineering, manufacturing, and operational excellence.
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