Siemens' AI products include Senseye Predictive Maintenance and Industrial Copilot, an AI-powered assistant for engineers. Senseye has reportedly reduced maintenance costs by 40% and increased staff productivity by 55% for companies. Industrial Copilot assists with tasks such as generating code and troubleshooting equipment maintenance. Looking ahead, Siemens is developing a project that uses AI to create products from computer-aided design data, which could enable faster and higher-quality production in sectors like automotive.
Key takeaways:
- Siemens uses AI to tackle industrial challenges such as safety, workforce shortages, and productivity. Tools like Senseye help predict maintenance issues and improve worker productivity.
- Siemens collaborates with tech partners like Google, Microsoft, Nvidia, Amazon Web Services, and Meta, and has about 1,500 employees with AI expertise.
- Companies using Siemens' Senseye Predictive Maintenance have reduced maintenance costs by 40%, increased maintenance staff productivity by 55%, and decreased machine downtime by 50%.
- Siemens is developing a project that uses AI to feed computer-aided design data into large language models to create products, potentially enabling design engineers to create more product variations and produce higher-quality items faster.