Siemens presented a poster titled From Silo to Synergy: Achieving Interoperability in Asset Performance Management at CIGRE 2026, demonstrating how transformer and switchgear analytics can be integrated into a single pane of glass for substation operators.
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From Silo to Synergy at CIGRE 2026 One of the key takeaways from CIGRE 2026 was that the future of Asset Performance Management is about enabling interoperability across…
Company
Siemens
- Industry
- Automation Machinery Manufacturing
- Location
- Munich, DE
- Company size
- 10,001+ employees
About Siemens
Siemens AG (Berlin and Munich) is a leading technology company focused on industry, infrastructure, mobility, and healthcare. The company’s purpose is to create technology to transform the everyday, for everyone. By combining the real and the digital worlds, Siemens empowers customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more livable, and transportation more sustainable. A leader in industrial AI, Siemens leverages its deep domain know-how to apply AI – including generative AI – to real-world applications, making AI accessible and impactful for customers across diverse industries. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. In fiscal 2025, which ended on September 30, 2025, the Siemens Group generated revenue of €78.9 billion and net income of €10.4 billion. As of September 30, 2025, the company employed around 318,000 people worldwide on the basis of continuing operations.
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Research & Knowledge
Siemens is working on the future of mobility and helping make buildings more autonomous and sustainable by taking digital testing before building.
Presence & Recognition
Siemens welcomed guests to its Factory2Be event.
Presence & Recognition
Siemens is hosting a webinar on September 23, 2026, at 11:00 a.m. AEST to explore reactive maintenance and predictive maintenance strategies using asset data insights.
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