The EU AI Act is the world's first comprehensive regulation for artificial intelligence that AI managers must observe. It obliges companies to adhere to strict transparency and security standards, especially for high-risk systems in engineering. Violations are punishable by massive penalties of up to 35 million or 7% of global annual turnover, making early strategic adaptation of AI governance essential.
The journey of artificial intelligence began as early as 1950 with Alan Turing's groundbreaking Turing test, before John McCarthy officially coined the term artificial intelligence in 1956. Expert systems such as MYCIN, which identified bacteria based on rules as early as the 1970s, laid the foundation for today's industrial applications in highly complex CAD and PLM structures.
The challenge for AI managers today is that AI has grown far beyond simple rule sets and now functions as a cognitive partner in engineering. Thanks to large language models (LLMs) and generative algorithms, complex CAD models can be classified automatically, PLM workflows can be optimized in real time, and valuable insights can be extracted from unstructured technical documentation. These technologies enable companies to automate repetitive design tasks and massively increase the speed of innovation through data-driven decisions.
Despite impressive advances, AI lacks genuine causal understanding, ethical judgment, and the ability to grasp complex, interdisciplinary engineering contexts without human validation. It can recognize patterns in CAD data, but the final strategic decision and responsibility for safety-critical mechanical engineering structures remain with experienced experts.
- AI Manager Seminar (Hanseatic Business School): Training in the strategic implementation of AI, prompt engineering, EU AI Act compliance, and the development of AI strategies within companies.
- Model-Based Systems Engineering Seminar (University at Buffalo): Specialized expertise from the University at Buffalo for structured, model-based product development.
- AI Specializations (DeepLearning.AI): Successful completion of the "AI For Everyone" and "Generative AI for Everyone" courses led by Andrew Ng.
- Practical AI Application: Expertise in "ChatGPT for Beginners" with a focus on market research..
I combine 25 years of in-depth practical experience in CAD and PLM at global market leaders with the strategic expertise of a state-certified technician, machine technology / production technology and state-certified economy technician.
As an AI-Manager, I cann help companies leverage engineering data to create added value.
