Siemens and thyssenkrupp Use AI to Bridge Manufacturing Skills Gap

AI-Driven Innovations in Manufacturing

Siemens and thyssenkrupp are leading the way in mitigating the skills gap in the manufacturing industry by adopting cutting-edge AI solutions. The companies are utilizing Siemens Industrial Copilot, a tool driven by Microsoft Azure OpenAI Service, to optimize complex workflows and boost operational productivity, as noted by [Source EMEA](https://news.microsoft.com/source/emea/features/how-ai-is-helping-siemens-and-thyssenkrupp-bridge-skilling-gaps-in-manufacturing/).

Simplifying Machine Programming

A major hurdle in manufacturing lies in the programming of advanced machinery, a process that can be quite labor-intensive. Each machine is outfitted with a Programmable Logic Controller (PLC), similar to a computer running Windows, that integrates and controls various smaller devices within the equipment. For example, in machines designed for testing EV battery cells, the Industrial Copilot has showcased its effectiveness by easing the programming tasks.

Improving Problem-Solving Skills

The Industrial Copilot is especially useful in scenarios where components like cameras, essential for machinery function, need detailed programming. A recent case involved a camera that had to read labels on EV battery cells. The camera’s inconsistent reading of these labels underscored the necessity for a more streamlined approach. By using the Industrial Copilot, engineers can decode the camera’s programming more effortlessly, effectively addressing the problem.

Looking Ahead

This forward-thinking methodology not only resolves current technical issues but also has far-reaching implications for the future of manufacturing. By closing the skills gap, Siemens and thyssenkrupp are setting a standard for various industries, demonstrating how AI can be employed to enhance efficiency and tackle intricate challenges in industrial contexts.Image source: Shutterstock