Agentic and generative AI represent groundbreaking technologies that are set to revolutionize human activities across all domains. They merge advanced AI models, like large language models (LLMs), with semi-autonomous intelligent agents capable of analyzing massive data sets, setting objectives, and acting with minimal human supervision. The goal of agentic AI is to automate and optimize collaborative tasks and business operations, enabling continuous improvement in a dynamic and scalable manner that traditional deterministic systems cannot easily achieve. This industrial session aims to provide a space for AI researchers to meet representatives of business and industry working with and on AI technologies and will include presentations, demos and discussions. Submissions of potential PhD students who prepare their PhD within or in strong cooperation with industry are also highly encouraged .
This session aims also to bridge the gap between foundational AI research and practical industrial deployment, pioneering scalable, intelligent tools that empower the next generation of resilient, autonomous, and adaptive industrial systems.
Finally, this session will give us all opportunities for networking and exchange of experiences regarding the applications of AI in industry.