WG 4: Innovation, Business Models and Processes

Self-learning systems convert data to knowledge. They use the exponentially growing amount of data in order to make products and services “smart”. With the help of machine learning patterns can be detected and identified from various data sets and predictions can be made. Entirely new data- and AI-based business models will emerge. The customer will remain at the core of all efforts. He or she will frequently be informed about products and services according to his or her individual needs. Small businesses are often not able to implement new data-based business models on their own. Therefore, it is crucial for them to cooperate with other companies on a larger scale.

Topics and organisation of the Working Group

The working group identifies and analyses new business models on the basis of artificial intelligence as well as the economic potential of self-learning systems. It provides impetus in particular for the application-oriented working groups.

Corina Apachiţe

Susanne Boll-Westermann

Members of the Working Group

Prof. Dr. Irene Bertschek
ZEW – Leibniz Centre for European Economic Research, Justus-Liebig-University Gießen

Prof. Dr. Michael Dowling
Münchner Kreis

Prof. Dr.-Ing. Roman Dumitrescu
Fraunhofer Institute for Mechatronic Systems Design

Dr. Wolfgang Faisst
ValueWorks GmbH

Prof. Dr. Svenja Falk
Accenture Services

Dr. Andreas Liebl
UnternehmerTUM GmbH (applied.AI)

Olga Mordvinova
incontext.technology GmbH

Vidya Munde-Mueller
Founder Institute

Prof. Dr. Alexander Pflaum
Fraunhofer SCS

Martin Rabe
Fraunhofer Institute for Mechatronic Systems Design IEM

Dr. Markus Schnell
Infineon Technologies AG

Prof. Dr. Stefanie Schwaar
Hochschule für Technik und Wirtschaft (HTW) Berlin

Prof. Dr. Orestis Terzidis
Karlsruhe Institute of Technology (KIT)

Kirsten Thommes
Paderborn University

Dr.-Ing. Eric Veith
OFFIS - Institut für Informatik e.V.

Luise Weißflog
Mittelstand-Digital Zentrum Chemnitz, TU Chemnitz

Ingmar Wolff
heliopas.ai GmbH

We have received written consent from the listed persons for the publication of their data in accordance with the DSGVO. This list of members is an excerpt and will be completed continuously.

Key Questions for the Working Group

How do self-learning systems change cost structures in companies and business (e.g. skilled employees, know-how, efficiency and information benefits)?
How can redeeming structures change when it comes to new ways of customer loyalty and net product concerning smart products and services?
Which new business models can occur for small and larger companies?
Are there any new forms of cooperation that are necessary for a successful usage (e.g. platforms and eco systems)?

Conclusions and contributions of the Working Group

A comprehensive overview of all results and contributions of the working group available in German can be found here.

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