First European Inria-DFKI Summer School on AI (IDAI 2021)


The first European Inria-DFKI Summer School on AI (IDAI 2021) at the Inria Saclay - Île-de-France Centre, from 20-23 July 2021 took place. Our employees Maxx Richard Rahman gave a presentation on Tuesday 20 July, about the following topic:„AI-based approach for the detection of Erythropoietin (EPO) in blood.“

Master Defense Talk


Nina Schmitt gave a presentation of the results of her Master's thesis to Professor Wolfgang Maaß and other members of the Chair on 21. June.2021 at 3pm.
The topic is "The role of data in group and management reporting".

New article from feintool: With AI to optimal production- Sustainability Report 2020


We present a new article about how SPIACER with AI, can optimise production!

In the Feintool Sustainability Report 2020, Jens Gerhard, Head of Technology and Press Development at Feintool in Jena, describes the relevance of manufacturing companies being as resilient as possible in order to be well prepared for incidents and crises and to be able to proactively adjust production planning.

Information and Service Systems (ISS)

Chair in Business Administration, especially Information and Service Systems at Saarland University deals with the development and management of data-driven services, for instance healthcare. Directed by Prof. Dr.-Ing. Wolfgang Maaß, the chair investigates how the application of experimental design methods combined with distributed, data analytic approaches lead to adaptive service designs and innovative solutions. This research is conducted in basic and applied research projects in cooperation with leading research and industry partners. Results are applied and validated in industry projects by the research group Smart Service Engineering (SSE) at the German Research Center for Artificial Intelligence (DFKI).

You can find us now in buliding A5.4, 2nd floor on the right.

Maass, W.

Contract-based Data-sharing for AI-based Decision Making on the Web, Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS-2022), forthcoming, 2022.

Stein, H.; Maass, W.

Requirements for Data Valuation Methods, Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS-2022), forthcoming, 2022.

Maass, W.; Storey, V.; Lukyanenko, R.

From Mental Models to Machine Learning Models via Conceptual Models, Enterprise, Business-Process and Information Systems Modeling, Springer, 2021.
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