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EZATECH: Design and development of Artificial Intelligence technologies for knowledge management throughout the life cycle of workers in organizations

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EZATECH: Design and development of Artificial Intelligence technologies for knowledge management throughout the life cycle of workers in organizations

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dc.contributor.author Ruiz, Maria es_ES
dc.contributor.author Igartua, Juan Ignacio es_ES
dc.contributor.author Retegi, Jabier es_ES
dc.contributor.author Uriondo, Aitor es_ES
dc.contributor.author Sudupe, Jose Antonio es_ES
dc.contributor.author Heriz, Izaskun es_ES
dc.contributor.author Garate, Estibaliz es_ES
dc.date.accessioned 2025-01-23T09:05:49Z
dc.date.available 2025-01-23T09:05:49Z
dc.date.issued 2025-01-21
dc.identifier.uri http://hdl.handle.net/10251/213982
dc.description.abstract [EN] This research presents the results of a project called EZATECH: Design and development of Artificial Intelligence technologies for knowledge management through the life cycle of workers in organizations , funded by the Basque Government (BG) (Economic Development, Sustainability and Environment Department). The project started in April 2021 and was completed in December 2023. The aim of the study was to develop an architecture to organize and structure knowledge from educational and industrial companies based on the professional profiles that composed the company and the key competencies necessary for the achievement of their organizational objectives. This objective responds to the challenges derived from the existence of a multitude of approaches that have significantly hindered the practical development of Knowledge Management in the business environment: The majority of practical application cases published to date refer to large companies or service companies. Machine Learning, Learning Analytics and People Analytics are the techniques used for the development of the EZATECH architecture, which is a software system to unable Knowledge Management in Educational and Industrial sectors. es_ES
dc.description.sponsorship We would like to thank the Basque Government for their support in the development of this project. Special thanks to the Economic Development, Sustainability and Environment Department. es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof Journal of Applied Research in Technology & Engineering es_ES
dc.rights Reconocimiento - No comercial - Compartir igual (by-nc-sa) es_ES
dc.subject Knowledge Management es_ES
dc.subject Education es_ES
dc.subject Industry es_ES
dc.subject Artificial Intelligence es_ES
dc.title EZATECH: Design and development of Artificial Intelligence technologies for knowledge management throughout the life cycle of workers in organizations es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.4995/jarte.2025.21755
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Ruiz, M.; Igartua, JI.; Retegi, J.; Uriondo, A.; Sudupe, JA.; Heriz, I.; Garate, E. (2025). EZATECH: Design and development of Artificial Intelligence technologies for knowledge management throughout the life cycle of workers in organizations. Journal of Applied Research in Technology & Engineering. 6(1):24-33. https://doi.org/10.4995/jarte.2025.21755 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.4995/jarte.2025.21755 es_ES
dc.description.upvformatpinicio 24 es_ES
dc.description.upvformatpfin 33 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 6 es_ES
dc.description.issue 1 es_ES
dc.identifier.eissn 2695-8821
dc.relation.pasarela OJS\21755 es_ES
dc.contributor.funder Eusko Jaurlaritza es_ES


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