Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-28148| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | From concept to implementation : the data-centric development process for AI in industry |
| Authors: | Luley, Paul-Philipp Deriu, Jan Milan Yan, Peng Schatte, Gerrit A. Stadelmann, Thilo |
| et. al: | No |
| DOI: | 10.1109/SDS57534.2023.00017 10.21256/zhaw-28148 |
| Proceedings: | 2023 10th IEEE Swiss Conference on Data Science (SDS) |
| Page(s): | 73 |
| Pages to: | 76 |
| Conference details: | 10th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 22-23 June 2023 |
| Issue Date: | Jun-2023 |
| Publisher / Ed. Institution: | IEEE |
| ISBN: | 979-8-3503-3875-1 |
| Language: | English |
| 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. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/28148 |
| 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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2023_Luley-etal_Data-centric-development-process-for-AI-in-industry_v2.pdf | Accepted Version | 255.83 kB | Adobe PDF |  View/Open |
Show full item record
Luley, P.-P., Deriu, J. M., Yan, P., Schatte, G. A., & Stadelmann, T. (2023). From concept to implementation : the data-centric development process for AI in industry [Conference paper]. 2023 10th IEEE Swiss Conference on Data Science (SDS), 73–76. https://doi.org/10.1109/SDS57534.2023.00017
Luley, P.-P. et al. (2023) ‘From concept to implementation : the data-centric development process for AI in industry’, in 2023 10th IEEE Swiss Conference on Data Science (SDS). IEEE, pp. 73–76. Available at: https://doi.org/10.1109/SDS57534.2023.00017.
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 2023 10th IEEE Swiss Conference on Data Science (SDS), Jun. 2023, pp. 73–76. doi: 10.1109/SDS57534.2023.00017.
LULEY, Paul-Philipp, Jan Milan DERIU, Peng YAN, Gerrit A. SCHATTE und Thilo STADELMANN, 2023. From concept to implementation : the data-centric development process for AI in industry. In: 2023 10th IEEE Swiss Conference on Data Science (SDS). Conference paper. IEEE. Juni 2023. S. 73–76. ISBN 979-8-3503-3875-1
Luley, Paul-Philipp, Jan Milan Deriu, Peng Yan, Gerrit A. Schatte, and Thilo Stadelmann. 2023. “From Concept to Implementation : The Data-Centric Development Process for AI in Industry.” Conference paper. In 2023 10th IEEE Swiss Conference on Data Science (SDS), 73–76. IEEE. https://doi.org/10.1109/SDS57534.2023.00017.
Luley, Paul-Philipp, et al. “From Concept to Implementation : The Data-Centric Development Process for AI in Industry.” 2023 10th IEEE Swiss Conference on Data Science (SDS), IEEE, 2023, pp. 73–76, https://doi.org/10.1109/SDS57534.2023.00017.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.