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|Publication type:||Conference paper|
|Type of review:||Peer review (publication)|
|New version available at:||https://digitalcollection.zhaw.ch/handle/11475/28148|
|Title:||From concept to implementation : the data-centric development process for AI in industry|
Deriu, Jan Milan
Schatte, Gerrit A.
|Proceedings:||Proceedings of the 10th IEEE Swiss Conference on Data Science|
|Conference details:||10th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 22-23 June 2023|
|Publisher / Ed. Institution:||IEEE|
|Subjects:||MLOps; ML pipeline; Data preparation|
|Subject (DDC):||006: Special computer methods|
|Abstract:||We examine the paradigm of data-centric artificial intelligence (DCAI) as a solution to the obstacles that small and medium-sized enterprises (SMEs) face in adopting AI. While the prevalent model-centric approach emphasizes collecting large amounts of data, SMEs often suffer from small datasets, data drift, and sparse ML knowledge, which hinders them from implementing AI. DCAI, on the other hand, emphasizes to systematically engineer the data used to build an AI system. Our contribution is to provide a concrete, transferable implementation of a DCAI development process geared towards industrial application, specifically in machining and manufacturing, and demonstrate how it enhances data quality by fostering collaboration between domain experts and ML engineers. This added value can place AI at the disposal of more SMEs. We provide the necessary background for practitioners to follow the rationale behind DCAI and successfully deploy the provided process template.|
|Fulltext version:||Accepted version|
|License (according to publishing contract):||Licence according to publishing contract|
|Departement:||School of Engineering|
|Organisational Unit:||Centre for Artificial Intelligence (CAI)|
|Published as part of the ZHAW project:||DISTRAL: Industrial Process Monitoring for Injection Molding with Distributed Transfer Learning|
|Appears in collections:||Publikationen School of Engineering|
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|2023_Luley-etal_Data-centric-development-process-for-AI-in-industry.pdf||Accepted Version||257.32 kB||Adobe PDF|
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Luley, P.-P., Deriu, J. M., Yan, P., Schatte, G. A., & Stadelmann, T. (2023, June). From concept to implementation : the data-centric development process for AI in industry. Proceedings of the 10th IEEE Swiss Conference on Data Science. https://doi.org/10.21256/zhaw-27724
Luley, P.-P. et al. (2023) ‘From concept to implementation : the data-centric development process for AI in industry’, in Proceedings of the 10th IEEE Swiss Conference on Data Science. IEEE. Available at: https://doi.org/10.21256/zhaw-27724.
P.-P. Luley, J. M. Deriu, P. Yan, G. A. Schatte, and T. Stadelmann, “From concept to implementation : the data-centric development process for AI in industry,” in Proceedings of the 10th IEEE Swiss Conference on Data Science, Jun. 2023. doi: 10.21256/zhaw-27724.
Luley, Paul-Philipp, et al. “From Concept to Implementation : The Data-Centric Development Process for AI in Industry.” Proceedings of the 10th IEEE Swiss Conference on Data Science, IEEE, 2023, https://doi.org/10.21256/zhaw-27724.
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