Scaling Trustworthy AI: From Connected Assets to Autonomous Operations
Thomas Spatzier, Head of Platform Scaling & AI, Siemens Energy
Thomas Spatzier, Head of Platform Scaling & AI at Siemens Energy, explores the journey from connected assets and operations to intelligent, autonomous industrial systems.
The presentation examines the critical shift from prediction to action. While an inaccurate prediction can be reviewed before action is taken, autonomous AI can directly affect the physical world, making trust, control and clearly defined boundaries essential.
Thomas explains that scaling industrial AI involves more than producing additional models. Assets, use cases, operating environments, teams, processes and governance must advance together through a modular and interoperable platform.
The presentation also shows how semantics, reusable models, governed agents and consistent deployment can make industrial AI a repeatable capability. Identity, authorised tools, operational limits, human oversight, audit trails and recovery processes help ensure autonomous actions remain observable and contained across cloud, on-premises and edge environments.
Explore the full presentation below to discover how organisations can engineer trust throughout the AI lifecycle and progress confidently towards safe, resilient autonomous operations.
