Project

Scalable Knowledge Transfer for the Digital Transformation of SMEs in Baden-Württemberg

In the course of the digital transformation, small and medium-sized enterprises (SMEs) are facing profound structural changes that bring both significant challenges and far-reaching opportunities. Artificial intelligence opens up new possibilities for accelerating innovation processes, enabling data-driven decision-making and developing future-oriented business models. In practice, however, the systematic integration of AI in many SMEs often fails due to limited human and financial resources, a lack of methodological expertise and a shortage of accessible, practical use cases. This creates a clear need for targeted knowledge-transfer projects that not only provide SMEs with theoretical knowledge about the use of AI, but also demonstrate concrete application scenarios and support their implementation. To strengthen knowledge transfer between science and industry on a sustainable basis, both sides need to be empowered: SMEs must be supported in developing the skills required for the digital transformation, while research institutions must be strengthened in successfully transferring knowledge, technologies and suitable forms of cooperation into practice. With its strong industrial SME sector and high-quality non-university research landscape, Baden-Württemberg offers excellent conditions for such transfer activities and long-term collaboration.

The planned knowledge-transfer initiative addresses this challenge and aims to strengthen future collaboration between the Fraunhofer Institute and industrial SMEs in Baden-Württemberg. The project explicitly combines an external and an internal perspective. The external perspective focuses on building SMEs’ capabilities for the upcoming digital transformation. The internal perspective focuses on enabling Fraunhofer ISI to develop innovative transfer concepts for existing AI applications that can also be applied beyond the project.

  1. Conceptualisation of transfer pathways using “modular” components (transfer modules). Preparation of the essential user knowledge required for AI tools in the context of three different thematic areas, in the form of scripts.
  2. Harmonisation and structuring of the scripts into transfer pathways.
  3. Didactic preparation of the scripts as transfer modules, taking into account learning concepts, user-friendly language and different levels of content depth.

No results available yet.

Duration

01.10.2025-30.09.2028

Clients

Ministerium für Wirtschaft, Arbeit und Tourismus Baden-Württemberg