Forum KIdT: Artificial Intelligence and Digital Transformation Forum
Artificial intelligence (AI) and digital transformation offer enormous potential for SMEs. In a concept tailored to the needs of SMEs, the "Forum KIdT" project aims to implement knowledge transfer, in addition to direct knowledge transfer, through joint discussion, experimentation and reflection with SME employees.
Social and entrepreneurial interest in artificial intelligence (AI) has increased exponentially in recent months. AI and digital transformation also offer enormous potential for SMEs - for many SMEs, however, this potential is not always clearly recognizable, nor are the potentially far-reaching changes that can accompany digital transformation and AI, e.g. with regard to previously established business models. The biggest hurdles to the targeted use of these technologies are usually the lack of specialized expertise on the one hand - and financial or organizational resources on the other. In a concept tailored to the needs of SMEs, the "Forum KIdT" project aims to implement knowledge transfer not only through direct knowledge transfer, but also through joint discussion, experimentation and reflection with SME employees. Various AI and digital transformation technologies are to be realistically assessed, both in terms of their potential in the future and their possibilities in the present to optimize processes and integrate them into everyday working life.
The Bavarian State Ministry of Science and the Arts is funding the "Artificial Intelligence and Digital Transformation" (KIdT) forum as part of the "Networking activities between universities and companies" funding campaign of the European Social Fund Plus (ESF+).
Further information on the KIdT forum, information on cooperation and current events can be found here: https://www.informatik.uni-wuerzburg.de/forum-kidt/
Funding: ESF+ / bayerische Staatsministerium für Wissenschaft und Kunst
Duration: 2024-2027
Lead: Prof. Dr. Birgit Lugrin
Management: Juliette Claßen, Martina Lein
Involved working groups: Business Management and Marketing (Prof. Jana Prigge), Business Information Systems Engineering (Prof. Frédéric Thiesse), Computational Biology (Prof. Thomas Dandekar), Artifical Intelligence and Applied Computer Science (Prof. Frank Puppe), Media Informatics (Prof. Birgit Lugrin)
Involved researchers
Chantal Klier