Siemens Follows the Path of Industrial AI
Siemens, the Germany-based multinational tech giant, is increasingly integrating generative AI technology to enhance its capabilities in various industrial sectors. This shift represents a significant evolution from traditional predictive AI, as they adapt models from tech leaders like Microsoft, OpenAI, and Google to manage industrial processes.
Key Points
- Siemens is transitioning from traditional predictive AI to generative AI for controlling industrial processes.
- Generative AI enhances the resilience and effectiveness of AI applications in critical industrial environments.
- Human-AI collaboration is emphasised, as AI should assist rather than solely control operations.
- Olympia Brikis, director of industrial AI research at Siemens, notes the shift in AI applications post-2022, particularly in language model performance.
- AI applications in industrial contexts require specific tuning to meet operational needs and improve safety.
Why should I read this?
This article is essential for understanding Siemens’ approach to integrating advanced AI into industrial settings. It highlights the significant changes in AI technology applications and the importance of involving human operators in AI initiatives, which is critical knowledge for professionals in manufacturing, energy, and technology sectors.
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