AI and Large Language Models (LLMs) dominate the headlines, but can they truly be 100% accurate and safe in real-world manufacturing environments? While AI is often portrayed as a game-changer, its limitations and risks remain key concerns for engineering and production teams. At the SPREAD Cube Conference in Berlin, industry experts explored the true potential and challenges of AI & LLMs in manufacturing, separating hype from reality and showcasing practical applications.

As manufacturing undergoes digital transformation, AI is becoming an essential tool for engineering data orchestration, software-defined manufacturing, and flexible data integration for product development. However, its effectiveness depends on data quality, governance, and system interoperability. In this discussion, experts addressed how AI is shaping manufacturing, where it still falls short, and what steps are necessary to unlock its full potential.

In the expert panel “AI & LLMs Beyond the Hype”, Dr. Stefan Suwelack (Renumics), Fabian Klein (CARIAD), and Daniel Wilms (SPREAD) shared insights on:

• How AI enhances digital transformation in manufacturing
• The role of AI in engineering data orchestration and product development
• Challenges in integrating AI into legacy systems and ensuring reliability
• The balance between automation and human expertise in software-defined manufacturing

Watch the full discussion now to gain a clearer picture of AI’s role in the future of manufacturing. German audio with English subtitles.