Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-28148
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Luley, Paul-Philipp | - |
dc.contributor.author | Deriu, Jan Milan | - |
dc.contributor.author | Yan, Peng | - |
dc.contributor.author | Schatte, Gerrit A. | - |
dc.contributor.author | Stadelmann, Thilo | - |
dc.date.accessioned | 2023-06-29T09:42:51Z | - |
dc.date.available | 2023-06-29T09:42:51Z | - |
dc.date.issued | 2023-06 | - |
dc.identifier.isbn | 979-8-3503-3875-1 | de_CH |
dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/28148 | - |
dc.description.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. | de_CH |
dc.language.iso | en | de_CH |
dc.publisher | IEEE | de_CH |
dc.rights | Licence according to publishing contract | de_CH |
dc.subject | MLOps | de_CH |
dc.subject | ML pipeline | de_CH |
dc.subject | Data preparation | de_CH |
dc.subject.ddc | 006: Spezielle Computerverfahren | de_CH |
dc.title | From concept to implementation : the data-centric development process for AI in industry | de_CH |
dc.type | Konferenz: Paper | de_CH |
dcterms.type | Text | de_CH |
zhaw.departement | School of Engineering | de_CH |
zhaw.organisationalunit | Centre for Artificial Intelligence (CAI) | de_CH |
dc.identifier.doi | 10.1109/SDS57534.2023.00017 | de_CH |
dc.identifier.doi | 10.21256/zhaw-28148 | - |
zhaw.conference.details | 10th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 22-23 June 2023 | de_CH |
zhaw.funding.eu | No | de_CH |
zhaw.originated.zhaw | Yes | de_CH |
zhaw.pages.end | 76 | de_CH |
zhaw.pages.start | 73 | de_CH |
zhaw.publication.status | acceptedVersion | de_CH |
zhaw.publication.review | Peer review (Publikation) | de_CH |
zhaw.title.proceedings | 2023 10th IEEE Swiss Conference on Data Science (SDS) | de_CH |
zhaw.webfeed | Machine Perception and Cognition | de_CH |
zhaw.webfeed | Datalab | de_CH |
zhaw.webfeed | ZHAW digital | de_CH |
zhaw.funding.zhaw | DISTRAL: Industrial Process Monitoring for Injection Molding with Distributed Transfer Learning | de_CH |
zhaw.author.additional | No | de_CH |
zhaw.display.portrait | Yes | de_CH |
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 simple 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.
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