KI im Maschinen- und Anlagenbau: Vom Hype zum Geschäftsmodell | Prof. Dumitrescu Tech Talk #48

Artificial intelligence in mechanical and plant engineering is not a new topic – but only now are real economic benefits emerging. Dr.-Ing. Julian Weller demonstrates how AI use cases have evolved from condition monitoring to data-driven service business models and what role modern language models play in this development. The focus is on concrete challenges from industrial practice: data quality, integration of existing systems, the shortage of skilled workers, and the transformation of traditional service processes. At the same time, it becomes clear how companies can unlock new efficiency potential and develop innovative business models through AI. The discussion provides insights into current developments at Fraunhofer IEM and shows why now is the right time to implement AI in mechanical engineering. 🔹 Guest: Dr.-Ing. Julian Weller 🔗 LinkedIn:   / julian-le-weller   🔹 Host: Prof. Dr.-Ing. Roman Dumitrescu 🔗 LinkedIn:   / roman-dumitrescu-professor   📺 Subscribe to our YouTube channel:    / @fraunhoferiem   Learn more & connect: 🔗 LinkedIn:   / fraunhofer-iem   📸 Instagram:   / fraunhofer.iem   📩 Newsletter: https://www.iem.fraunhofer.de/newsletter #AI #MechanicalEngineering #Industry40 #GenerativeAI #Innovation Overview: 0:00 – AI in mechanical and plant engineering: Status 2026 0:49 – Introduction of Dr. Julian Weller and Research Focus 2:03 – What has changed through language models and AI 4:08 – Language models as a complement to classic AI use cases 6:20 – Service reports, knowledge utilization, and efficiency potential 8:11 – AI support for service personnel and back office 11:07 – Data quality and machine-readable documentation 14:57 – Technological hurdles, security, and internal empowerment 18:16 – Sovereignty of language models and strategic decisions 22:03 – AI business models in mechanical and plant engineering