Siemens Industrial Copilot Expanded, Adopted by thyssenkrupp

 
Highly complex automation projects will be partially automated using agent concepts. Agent concepts go beyond simple question-and-answer interactions, automating processes by breaking down large, complex tasks into subtasks. All relevant information is then collected from a number of sources, including ECAD information, in order to understand the user goal. Agents can also be connected to external systems and sources, which creates a closed loop with different tools linked together. Next, the agents create a plan on how to achieve goals and execute the required actions independently. These range from sending messages and accessing external systems to updating data sets. Engineers can also use agents to control and direct all production processes–while maintaining full transparency, having an overview of the data and knowing which steps should be taken next.
 
The Engineering Copilot TIA Essential has been available on the Siemens Xcelerator marketplace since July 2024. While Siemens provides the automation elements of the Industrial Copilot, the natural language processing is carried out by one of the most powerful GPT models using the Azure OpenAI Service of the Microsoft Cloud. This enables enterprise-grade performance, data protection and reliability. Siemens’ generative AI solutions for industry are reliable, secure and trustworthy, thus making industrial AI accessible to everyone, anywhere, at any time.