VoBaKI
Procedure for the evaluation and selection of AI competences in SMEs
The objective of the VoBAKI research project is to enable SMEs to independently identify the processes and necessary competencies in the lifecycle of an AI use case and to derive the sourcing strategies that are suitable for them.
Initial situation
The life cycle of an AI application comprises various processes and activities from data collection and model development to the adaptation of an application to a changed data situation. From these activities, different AI-specific competencies can be derived for their successful management. These AI-specific competencies are not available in many SMEs.
Solution approach
First, the objectives of SMEs with regard to the use of AI applications are elaborated. Then, the relevant processes in the life cycle of an AI application and activities as well as competencies are identified. Subsequently, the activities are assigned to different AI roles. Potential sourcing strategies are described and evaluated in terms of their practical relevance. Subsequently, operational requirements that influence the selection decision are identified for each SME-relevant sourcing strategy. In a further step, the different sourcing strategies and their design alternatives are evaluated with regard to their contribution to achieving the operational objectives. The results of the project will be combined in a procedure for evaluating and selecting the appropriate sourcing strategy and made applicable through supplementary transfer media (e.g. business game, explanatory videos).
Expected result
AI role profiles as well as a procedure for evaluating and selecting a proper sourcing strategy for implementing AI use cases in SMEs.
Benefits for the target group
The project provides a method that simplifies the structuring of an AI project and thus reduces the barrier to entry into the new technology.
Research partners
Topic Area
- Information Management
Research Focus
- Informationslogistik
FIR Navigator
Projectinfos
Duration
Funding no.
01IF22009 NFunding information
This pre-competitive project was funded by the Federal Ministry for Economic Affairs and Climate Action with IGF funds.