Siemens hires AI specialists from Amazon for their team
In a significant move, Siemens has appointed Vasi Philomin as the head of its Data & Artificial Intelligence (AI) division. This appointment comes as Siemens focuses on integrating AI with the physical world, using advanced digital twin technology, AI-powered simulation, and large-scale physics models to enhance industrial automation, sustainable manufacturing, and engineering processes.
AI and IT have played an increasingly important role at Siemens over the years, and the digital business at Siemens generated annual revenues of around 9.1 billion euros. Siemens' unique expertise and strong global presence in industry, coupled with significant growth in these businesses due to multi-billion dollar acquisitions, provide a solid foundation for this new initiative.
Vasi Philomin, who previously served as Vice President of Generative AI at Amazon, brings a rare combination of deep technical expertise, strategic vision, and remarkable implementation strength to Siemens. Peter Koerte, a member of Siemens' board, expressed his confidence that Philomin will significantly contribute to the company.
Philomin's move to Siemens is expected to unlock new innovation potential. He stated that the next big evolutionary step for AI is its interplay with the real, physical world. This approach aligns with Germany’s broader AI strategy and Siemens’ goal to lead industrial AI advancement.
One of the key strategies Siemens is employing is the creation of intelligent, self-optimizing digital twins—virtual replicas of physical products, systems, or processes that continuously update with real-time sensor and operational data. These AI-enhanced digital twins can identify patterns, predict future states, and autonomously suggest optimizations or new design iterations, effectively bridging digital design and real-world execution to shorten development cycles, reduce waste, and improve sustainability.
Siemens also integrates simulation-driven design with AI, using advanced simulation combined with AI to solve complex real-world engineering problems, such as climate change and energy efficiency challenges. This includes AI-driven large physics models (LPMs) that reshape engineering methodologies and provide novel solutions to traditionally difficult problems in industrial settings.
In addition, Siemens is partnering with research institutions such as Singapore’s A*STAR to advance sustainable and smart manufacturing solutions. Their collaboration integrates AI, industrial automation, digital twins, and advanced manufacturing technologies to accelerate digital transformation in sectors like aerospace, consumer goods, and chemicals, supporting decarbonization and operational efficiency.
Furthermore, Siemens utilizes high-quality synthetic data generated via NVIDIA Omniverse in virtual environments to train and validate AI safely within machine building, ensuring AI applications are robust and effective in real-world deployment.
With Vasi Philomin at the helm, Siemens is poised to lead the way in industrial AI advancement, bridging the gap between the digital and physical worlds to drive innovation, efficiency, and sustainability across industries.
[1] Siemens press release [2] Siemens' approach to AI-driven simulation [3] Siemens' digital twin technology [4] Siemens' partnership with A*STAR [5] NVIDIA Omniverse
- Siemens' commitment to artificial-intelligence (AI) was further solidified with the appointment of Vasi Philomin as the head of its Data & AI division.
- Moving forward, Siemens' AI-enhanced digital twin technology and AI-powered simulation will play a crucial role in bridging the digital and physical worlds, as demonstrated by their partnership with Singapore’s A*STAR and the use of high-quality synthetic data from NVIDIA Omniverse.
