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Using Artificial and Human Intelligence to Create Innovative Digital Products and Services

Digitized products and services are playing an increasingly important role in almost all industries. The success of digitized business models requires not only knowledge of innovative technologies but also sound knowledge of economic issues and the management of the digital transformation in the mindsets of employees and customers.

In practice, however, many approaches are strongly technology-driven and place digital innovations in the foreground. To be successful as a provider, however, it depends on whether customer benefits can be generated and monetized with the solutions offered on the market. This requires a deep understanding of customer needs as well as processes and products tailored to them, right down to the business model.

Classic methods for digitization require a comprehensive and detailed specification of requirements and solution path and do not adapt to changing initial conditions. Modern methods of artificial intelligence can help with the analysis of contexts and solutions and enable the design of adaptable systems. Therefore, Artificial Intelligence is for preparing, digitizing and dynamizing product management. In addition to data-driven approaches, however, further methods and tools are needed to develop successful business models.

About the speaker:

Prof. Georg Herzwurm: In addition to his extended board membership at ISPMA, Prof. Dr. rer. pol. Georg Herzwurm has been a member of the executive board of the Business Administration Institute at the University of Stuttgart and heads the Chair of Information Systems II. Since 2013, he has been a member of the directors board and director of the "Management of Global Manufacturing Networks" cluster of the graduate school GSaME (graduate school of excellence advanced manufacturing engineering) in Stuttgart (Germany).

Prof. Dr. Herzwurm is the spokesman of the WI-MAW (management of application development and maintenance) committee of the Gesellschaft für Informatik eV. (GI).

He is also a founding member and member of the board of the "Industrial Data Lab", a strategic cooperation between Bosch and the University of Stuttgart on the topic of data.