Beyond GenAI: Which AI Techniques Actually Work in a Manufacturing Context?

From predictive maintenance to self-adapting systems, Artificial Intelligence (AI) offers us enormous potential to operate manufacturing systems more efficiently and develop them more sustainably.

However, the actual potential here goes far beyond the use of generative AI tools (such as ChatGPT, Le Chat from Mistral, or Canva AI).

While generative AI offers many opportunities to revolutionize our everyday work in many areas, it currently tends to disappoint in the operative manufacturing environment. To harness the great potential of AI here, we need AI techniques such as neural networks and genetic algorithms. In this webinar, we will show you how these AI techniques work in practice and illustrate how you can use them to take your IoT applications to the next level.

Target audience

Everyone is welcome who wants to learn which AI techniques can benefit the manufacturing domain.

This webinar is open and free of charge for all participants from academia, industry, and public administration from EU and/or EuroHPC JU member countries.

Entry level & prerequisites

Beginner – no prior AI knowledge is required.

Agenda

14:00   Welcome & Presentation of AI Factory Austria AI:AT

14:05 Beyond GenAI: Which AI Techniques Actually Work in a Manufacturing Context? 

• Brief introduction into manufacturing, Industry 4.0, and how these areas relate to AI
• What do we want to achieve by applying AI in manufacturing systems?
• Introduction to AI techniques using specific manufacturing use cases
  • Anomaly detection and predictive maintenance with machine learning
  • Image recognition with neural networks
  • Automated replanning after errors with genetic algorithms
• Challenges in practice

14:50   Questions & Discussion

Speaker

Daniel Lehner (AI Factory Austria AI:AT)                   
Dr. Daniel Lehner works as expert in AI knowledge transfer at AI Factory Austria AI:AT. He also works as a consultant and trainer at TwinTech, helping companies to efficiently exploit the potential of digitalization through the use of artificial intelligence and digital twins. In addition to his work with various companies, he also draws on his many years of experience in researching digital twins and artificial intelligence at Johannes Kepler University in Linz.

Language

English

Date, time, and location

24.03.2026, 14:00 – 15:00 (CET), LIVE ONLINE WEBINAR (Zoom)        
If there is sufficient interest, we may offer an additional in-person attendance option in Vienna.

Registration

Registration is required, the link to the registration form can be found on the top of this page in the menu on the left. Please register with your official institutional email address to prove your affiliation.

You will get the Zoom link in the automatic confirmation by email (subject starting with "[Indico] Registration"), please check your Spam/Junk folders). We will also send 1–2 reminders before the webinar.

Please do not hesitate to contact us at training@ai-at.eu if you have any questions.

Organizers

This webinar is organized by AI Factory Austria AI:AT.

Acknowledgements

AI Factory Austria AI:AT has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101253078. The JU receives support from the Horizon Europe Programm of the European Union and Austria (BMIMI / FFG).