Artificial Intelligence at Siemens

Source Domain: emerj.com

Siemens, founded in 1847, is one of the world’s largest industrial conglomerates with operations across energy, healthcare, mobility, infrastructure, and industrial manufacturing.
In fiscal year 2025, Siemens reported revenues of €77.8 billion and invested €6.1 billion in R&D, particularly in software, automation, and AI to support digitalized industrial operations.
The article focuses on how Siemens implements AI to improve operational capabilities within its factories, specifically highlighting AI-driven predictive maintenance and AI-based visual inspection.
Siemens uses AI to reduce unplanned downtime through predictive maintenance, utilizing machine learning to identify patterns from sensor data and preemptively address equipment failures, leading to reduced downtime and lower maintenance costs.
Siemens employs computer vision and deep learning in AI-based visual inspections to detect microscopic defects at full production speeds, resulting in significantly higher product quality, reduced scrap costs, and enhanced overall equipment effectiveness (OEE).

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