Agentic and Physical AI in Manufacturing: Siemens & Accenture Partnership Insights

Описание: This session explores how agentic and physical AI are transforming modern manufacturing through the strategic partnership between Siemens and Accenture. Magnus Edholm hosts a conversation with Brenda Discher, SVP, Business Strategy & Marketing, Siemens Digital Industries Software and Strategic Marketing Communications, Siemens Digital Industries
and Goetz Erhardt, CEO of Industry X, EMEA, Accenture, examining real-world applications and measurable results from AI implementation in industrial environments.

The discussion defines two critical AI categories: agentic AI, which handles cognitive tasks like reasoning and information retrieval, and physical AI, which interacts with and manipulates the physical world through robotics, autonomous vehicles, and automated systems. Both forms of AI work together to enable advanced manufacturing capabilities.

Key topics include the Siemens-Accenture business group announced at Hanover Fair, which combines Siemens' engineering software, automation solutions, and PLM platforms with Accenture's 7,000-person expertise investment. The partnership addresses challenges across engineering, manufacturing, and asset management.

Real customer examples demonstrate practical value: Navantia, a Spanish marine and defense company, achieved 20% productivity improvements and 20% cost reduction through digital twin implementation and Team Center deployment. Kion, a supply chain transformation company, is advancing toward fully autonomous warehouse operations using AI-driven design, virtual commissioning, and optimized material flow predictions.

The conversation covers critical implementation aspects including data security, IT-OT convergence, digital threads connecting design through operations, and virtual commissioning for faster deployment cycles. Discussion also addresses workforce implications, noting how AI enables both shop floor workers through diagnostic assistance and engineers through model training and anomaly detection.

Looking forward, the speakers describe an industrial metaverse becoming achievable through cloud-based AI, software-defined automation, and ecosystem partnerships spanning technology providers. The emphasis throughout remains on practical deployment, measurable outcomes, and maintaining data integrity as a single source of truth across manufacturing operations.