Development of a Task Model for Artificial Intelligence-Based Applications for Small and Medium-Sized Enterprises
- The adoption of artificial intelligence (AI) technologies in manufacturing companies is challenging, particularly for SMEs that lack the necessary skills to develop and integrate AI-based applications (AI applications) into their existing IT system landscape. To address this challenge, the research project VoBAKI (IGF-Project No.: 22009 N) aims to enable SMEs to identify and close skill gaps related to AI application development and implementation using proper sourcing strategies. This paper presents the interim results from the second phase of the project, which involves identifying the tasks in the lifecycle of AI applications and determining the specific skills required for executing these tasks. The presented results provide a detailed lifecycle including the phases for the development and usage of AI applications, as well as the specific tasks that SMEs must consider when implementing an AI application. These results serve as the foundation for future research regarding the required skills to execute the presented tasks and provide a roadmap for SMEs to close skill gaps and successfully implement AI applications.
| Author: | Florian Clemens, Fabian Willemsen, Susanne Mütze-Niewöhner, Günther SchuhORCiDGND |
|---|---|
| URL: | https://link.springer.com/chapter/10.1007/978-3-031-43662-8_38 |
| DOI: | https://doi.org/10.1007/978-3-031-43662-8_38 |
| ISBN: | 978-3-03143-661-1 |
| ISBN: | 978-3-031-43662-8 |
| ISSN: | 1868-4238 |
| Parent Title (English): | Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. IFIP WG 5.7 International Conference, APMS 2023, Trondheim, Norway, September 17–21, 2023, Proceedings, Part I |
| Series (Serial Number): | IFIP advances in information and communication technology (689) |
| Publisher: | Springer |
| Place of publication: | Cham [u. a.] |
| Editor: | Erlend Alfnes, Anita Romsdal, Jan Ola Strandhagen, Gregor von Cieminski, David Romero |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Completion: | 2023 |
| Date of first Publication: | 2023/09/14 |
| Release Date: | 2023/09/21 |
| Tag: | rev SME; artificial intelligence; artificial intelligence lifecycle; decision-maker; machine learning; manufacturing company |
| First Page: | 528 |
| Last Page: | 542 |
| FIR-Number: | SV7773 |
| Institute / Department: | FIR e. V. an der RWTH Aachen |
| Informationsmanagement | |
| Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |
