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dc.contributor.authorAlberti, Enrico
dc.contributor.authorÁlvarez Napagao, Sergio
dc.contributor.authorAnaya, Victor
dc.contributor.authorBarroso Isidoro, Marta
dc.contributor.authorBarrué Subirana, Cristian
dc.contributor.authorBeecks, Christian
dc.contributor.authorGiménez Ábalos, Víctor
dc.contributor.authorHinjos García, Daniel
dc.contributor.authorJakubiak, Natalia
dc.contributor.authorSànchez-Marrè, Miquel
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Intel·ligència Artificial
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2024-03-21T09:37:50Z
dc.date.available2024-03-21T09:37:50Z
dc.date.issued2024-02-02
dc.identifier.citationAlberti, E. [et al.]. AI lifecycle zero-touch orchestration within the edge-to-cloud continuum for industry 5.0. "Systems (Basel)", 2 Febrer 2024, vol. 12, núm. 2, article 48.
dc.identifier.issn2079-8954
dc.identifier.urihttp://hdl.handle.net/2117/405057
dc.description.abstractThe advancements in human-centered artificial intelligence (HCAI) systems for Industry 5.0 is a new phase of industrialization that places the worker at the center of the production process and uses new technologies to increase prosperity beyond jobs and growth. HCAI presents new objectives that were unreachable by either humans or machines alone, but this also comes with a new set of challenges. Our proposed method accomplishes this through the knowlEdge architecture, which enables human operators to implement AI solutions using a zero-touch framework. It relies on containerized AI model training and execution, supported by a robust data pipeline and rounded off with human feedback and evaluation interfaces. The result is a platform built from a number of components, spanning all major areas of the AI lifecycle. We outline both the architectural concepts and implementation guidelines and explain how they advance HCAI systems and Industry 5.0. In this article, we address the problems we encountered while implementing the ideas within the edge-to-cloud continuum. Further improvements to our approach may enhance the use of AI in Industry 5.0 and strengthen trust in AI systems.
dc.description.sponsorshipThe research leading to these results has received funding from Horizon 2020 and the European Union’s Framework Programme for Research and Innovation (H2020/2014-2020) under grant agreement no. 957331.
dc.format.extent32 p.
dc.language.isoeng
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject.lcshArtificial intelligence
dc.subject.lcshDigital twins (Computer simulation)
dc.subject.lcshIndustries
dc.subject.otherIndustry 4.0
dc.subject.otherHuman-centered AI
dc.subject.otherManufacturing
dc.subject.otherModel orchestration
dc.subject.otherDigital twin
dc.titleAI lifecycle zero-touch orchestration within the edge-to-cloud continuum for industry 5.0
dc.typeArticle
dc.subject.lemacIntel·ligència artificial
dc.subject.lemacRèpliques digitals (Simulació per ordinador)
dc.subject.lemacIndústries
dc.contributor.groupUniversitat Politècnica de Catalunya. IDEAI-UPC - Intelligent Data sciEnce and Artificial Intelligence Research Group
dc.identifier.doi10.3390/systems12020048
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.mdpi.com/2079-8954/12/2/48
dc.rights.accessOpen Access
local.identifier.drac38446601
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/957331/EU/Towards AI powered manufacturing services, processes, and products in an edge-to-cloud-knowlEdge continuum for humans [in-the-loop]/knowlEdge
local.citation.authorAlberti, E.; Alvarez-Napagao, S.; Anaya, V.; Barroso, M.; Barrue, C.; Beecks, C.; Giménez, V.; Hinjos, D.; Jakubiak, N.; Sànchez-Marrè, M.
local.citation.publicationNameSystems (Basel)
local.citation.volume12
local.citation.number2, article 48
dc.description.authorshipArticle signat per 20 autors/es: Enrico Alberti 1, Sergio Alvarez-Napagao 2, Victor Anaya 3, Marta Barroso 2, Cristian Barrué 4, Christian Beecks 5, Letizia Bergamasco 6, Sisay Adugna Chala 7, Victor Gimenez-Abalos 2, Alexander Graß 7, Daniel Hinjos 2, Maike Holtkemper 5, Natalia Jakubiak 4, Alexandros Nizamis 8, Edoardo Pristeri 6, Miquel Sànchez-Marrè 4, Georg Schlake 5, Jona Scholz 5, Gabriele Scivoletto 1, Stefan Walter 9 / 1 Nextworks Srl, Via Livornese 1027, 56122 Pisa, Italy; 2 Barcelona Supercomputing Center, Plaça Eusebi Güell 1-3, 08034 Barcelona, Spain; 3 Information Catalyst SL, Cl Reina 27, 4-7, 46800 Xativa, Spain; 4 Department of Computer Science, IDEAI Research Centre, Universitat Politècnica de Catalunya (UPC), Carrer Jordi Girona 1-3, 08034 Barcelona, Spain; 5 Department of Data Science, University of Hagen, 58097 Hagen, Germany; 6 LINKS Foundation, Via Pier Carlo Boggio 61, 10138 Torino, Italy; 7 Fraunhofer Institute for Applied Information Technology (FIT), Schloss Birlinghoven, 53757 Sankt Augustin, Germany; 8 Centre for Research and Technology Hellas-Information Technologies Institute (CERTH/ITI), Charilaou-Thermis, 57001 Thessaloniki, Greece; 9 VTT Technical Research Centre of Finland Ltd., Tekniikantie 21, 02150 Espoo, Finland
dc.description.sdgObjectius de Desenvolupament Sostenible::9 - Indústria, Innovació i Infraestructura
dc.description.sdgObjectius de Desenvolupament Sostenible::12 - Producció i Consum Responsables


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