Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-28148
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLuley, Paul-Philipp-
dc.contributor.authorDeriu, Jan Milan-
dc.contributor.authorYan, Peng-
dc.contributor.authorSchatte, Gerrit A.-
dc.contributor.authorStadelmann, Thilo-
dc.date.accessioned2023-06-29T09:42:51Z-
dc.date.available2023-06-29T09:42:51Z-
dc.date.issued2023-06-
dc.identifier.isbn979-8-3503-3875-1de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/28148-
dc.description.abstractWe 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.isoende_CH
dc.publisherIEEEde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectMLOpsde_CH
dc.subjectML pipelinede_CH
dc.subjectData preparationde_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.titleFrom concept to implementation : the data-centric development process for AI in industryde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitCentre for Artificial Intelligence (CAI)de_CH
dc.identifier.doi10.1109/SDS57534.2023.00017de_CH
dc.identifier.doi10.21256/zhaw-28148-
zhaw.conference.details10th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 22-23 June 2023de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end76de_CH
zhaw.pages.start73de_CH
zhaw.publication.statusacceptedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedings2023 10th IEEE Swiss Conference on Data Science (SDS)de_CH
zhaw.webfeedMachine Perception and Cognitionde_CH
zhaw.webfeedDatalabde_CH
zhaw.webfeedZHAW digitalde_CH
zhaw.funding.zhawDISTRAL: Industrial Process Monitoring for Injection Molding with Distributed Transfer Learningde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Engineering

Files in This Item:
File Description SizeFormat 
2023_Luley-etal_Data-centric-development-process-for-AI-in-industry_v2.pdfAccepted Version255.83 kBAdobe PDFThumbnail
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.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.