Field of activity: Technical Industry
AI is finding its way into the technical industry at an ever-increasing pace. But what works in practice, and what doesn't? And how do we ensure that applications remain responsible, people-oriented, and economically viable? In this interactive session, four AIC4NL projects share their insights. You will hear how predictive maintenance and quality control with machine vision are used in practice, and what challenges companies encounter during implementation. We will also discuss how learning communities between companies and educational institutions contribute to faster knowledge building.
From the Maritime Innovation Lab, we bring a maritime perspective: how AI is used for safety, emission reduction, and more efficient fuel consumption in offshore operations. This is a different context than factory environments, but with similar issues surrounding autonomy and human control.
Based on these cases and insights from the ELSA Lab for Technical Industry, we explore together: when can AI make decisions, where does human judgment remain essential, and what does the rise of autonomous factory systems mean for your organization?
Who is this interesting for?
For innovation managers, R&D engineers, production managers, and project leaders working on AI applications in the technical industry.
Speakers:
– Aart Schoonderbeek
Associate Professor of Industrial Automation & Robotics – Windesheim University of Applied Sciences
– Pepijn van der Laan
Technical Director – Nemko Digital
– Geert-Jan Peeters
Program Manager – Kennispact MBO Brabant
– Tobias van Dijk
Lab Lead, Maritime AI Innovation Lab – MARIN
– Vincent Delke
Assistant Professor – University of Twente
