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Consortial Benchmarking Artificial Intelligence

Artificial Intelligence – Overrated hype or future technology?

Schedule: February 2022 to February 2023
Artificial Intelligence (AI) has become a matter of course in our everyday lives with applications like Google Maps and Amazon Alexa. In the context of industry, ever increasing data availability and improved analysis options offer enormous use potential. But how do companies actually utilize AI in production-oriented environments? What successful practice approaches exist today?

The consortial benchmarking “AI in Operations” offers you an opportunity to find answers for these and other key questions regarding the use of AI in production and production-oriented areas. A study will identify and analyze verified success concepts at leading companies. Successful strategies, structures and use cases will be viewed on-site at successful practice companies, and can then be applied to own areas of responsibility.

In terms of content, the study is based on four topic areas. In addition to the identification of technical and organizational requirements, which promote the success of AI within the company, possible additional areas of use and the economic viability of AI applications will be addressed. The study will furthermore examine structural and workflow-relevant factors for a successful integration of AI in businesses.Become a consortial partner and benefit from comprehensive services. As a consortial partner…

…you will be actively involved in shaping the study and add your own focal topics.

…you will benefit from the theoretical and project-related experience of the GPMC, the WZL of RWTH Aachen University and the ITEM at the University of St. Gallen as well as an intensive practical exchange with the other consortium partners.

…you will gain detailed insights into the existing structures, processes and methods of selected successful practice companies.

Folie21_KBM-Künstliche-Intelligenz_EN-scaled Consortial Benchmarking Artificial Intelligence
The brochure contains additional information about the content and procedure of the project. Interested? We will be happy to offer more information about the consortial benchmarking and the current consortium in a phone call.


Seth-Schmitz-3 Consortial Benchmarking Artificial Intelligence
Dr. Seth Schmitz
Head of Industry Projects
Phone: +49 241 80 27387
Tim-janke Consortial Benchmarking Artificial Intelligence
Tim Janke, M.Sc. RWTH
Head of Business and Software Development
Phone: +49 175 4300711