Siemens follows the path of industrial AI
Summary
Siemens is heavily investing in industrial AI, shifting from traditional predictive methods to generative AI technologies. The company, known for its broad presence in manufacturing, transportation, and healthcare, has started adapting AI models from major tech players to create more intelligent industrial machines.
In a recent podcast, Olympia Brikis, Siemens’ director of industrial AI research, discussed the significant shift in AI performance we saw in 2022, highlighting the need for AI in industries to be resilient and specifically tuned to these critical applications. She emphasised the importance of human collaboration with AI, arguing that machines should not operate independently but rather assist human operators in controlling vital industrial processes.
Key Points
- Siemens is transitioning to generative AI to enhance industrial processes.
- The company adapts AI models from Microsoft, OpenAI, and Google for its applications.
- The shift highlights a significant change in the industrial AI landscape following breakthroughs in language model performance.
- Brikis stresses the importance of human-AI collaboration in operating industrial systems.
- Generative AI is expected to provide smarter, more resilient solutions for the industrial sector.
Why should I read this?
This article discusses Siemens’ strategic move towards integrating advanced AI technologies in industrial settings. It is particularly relevant for professionals in manufacturing and technology sectors, as it addresses how generative AI can enhance operational efficiency and human-machine interaction, which are critical in today’s increasingly automated environments.
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