Further seminar offer in WS 2018/19

It is offered a further seminar in winter semester 2018/19 about the topic "Responsible Artificial Intelligence - Ethical Behavior of intelligent, autonomous systems".

Press Report about "npotato": Smart Services in the food production

The current newsletter of the German Research Center for Artificial Intelligence has published an interesting article about the presentation of the latest developments of the "npotato" on CeBIT 2018 by the research field Smart Service Engineering of DFKI. The PDF- Version of the newsletter including the article you will find here.

Furthermore there is an interesting article about the presentation of the same project on Hannover Messe 2018. The related article you will find here.

Burgstraße Discussion: Artificial Intelligence – will machines make better bankers?”

June 13, 2018

On June 13, 2018 Prof. Maaß participated in the series of events "Burgstraße Discussion" of the Association of the German Banks in Berlin. It was discussed the topic "Artificial Intelligence – will machines make better bankers?" with many experts from politics, business, banks and the stock market. The whole article you will find here. picture source: Bankenverband / Foto: Boris Streubel, action press

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 (S2E) at the German Research Center for Artificial Intelligence (DFKI).

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

European Data Science Summer School

ed3s_poster.jpg Every year, the chair ISS hosts the European Data Science Summer School (ED3S). The ED3S takes place in September and includes statistics, web data processing, machine learning & co. 2016 the third ED3S occured. Thanks to all speakers, national and international participants from different research areas. You can register from June 2017 on. See here for further information concerning the previous Summer School including amongst others speakers and schedule.

Shcherbatyi, I. & Maaß, W.

Joint Input and Predictive Model Parameters Selection for Financial Forecasting, European Conference on Data Analysis (ECDA), 2018.

Maaß, W. & Shcherbatyi, I.

Inductive Discovery By Machine Learning for Identification of Structural Models, The 37th International Conference on Conceptual Modeling (ER), 2018.

Janzen, S.; Bleymehl, R.; Alam, A.; Xu, S. & Stein, H.

inSIDE Fair Dialogues: Assessing and Maintaining Fairness in Human-Computer-Interaction, Demo Proceedings of Conference "Mensch und Computer 2018" (MuC2018), 2018.