IoT meets AI 2019 – IoT meets AI by Marc-Oliver Pahl (TUM) and Chris Winkler (Siemens)
Artificial Intelligence, or maybe better machine learning is currently a hype topic. It promises the holy grail revolutionising data processing and computer supported processes. In our talk we highlight applications and challenges that come with the use of machine learning in industrial settings. We also highlight current industry 4.0 / industry of the future use cases.
Marc-Oliver Pahl, Ph.D., TU München, Germany (Expert IoT Security and IoT Middleware)
Dr. Marc-Oliver Pahl leads the IoT Smart Space Orchestration team (https://s2labs.org/) at the Chair of Network Architectures and Services at Technical University of Munich. He is a senior researcher and lecturer. His research interests include autonomous management of distributed systems with a focus on edge-based IoT. He often works on context data management, semantic modeling, and service management. His focus is on interoperability, portability, usability, and security.
Marc-Oliver is an associate editor of the International Journal of Network Management, co-organizer of NOMS2019, member of several TPCs including NOMS, IM, CNSM, regular reviewer for journals including TNSM, and IEEE Communications Magazine, and organizer of the DOMINOS workshop series.
As second research topic Marc-Oliver is doing teaching research focusing on developing new teaching methodologies, eLearning, and learning analytics. He also organizes the 50 years celebrations of the German Chapter of the ACM (https://being-human-with-algorithms.org/), and leads the MOOC activities of TUM and IMT’s Académie Franco-Allemande.