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

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 Dep...

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Main Authors: Maria Ruiz, Juan Ignacio Igartua, Jabier Retegi, Aitor Uriondo, Jose Antonio Sudupe, Izaskun Heriz, Estibaliz Garate
Format: Article
Language:English
Published: Universitat Politècnica de València 2025-01-01
Series:Journal of Applied Research in Technology & Engineering
Subjects:
Online Access:https://polipapers.upv.es/index.php/JARTE/article/view/21755
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author Maria Ruiz
Juan Ignacio Igartua
Jabier Retegi
Aitor Uriondo
Jose Antonio Sudupe
Izaskun Heriz
Estibaliz Garate
author_facet Maria Ruiz
Juan Ignacio Igartua
Jabier Retegi
Aitor Uriondo
Jose Antonio Sudupe
Izaskun Heriz
Estibaliz Garate
author_sort Maria Ruiz
collection DOAJ
description 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.
format Article
id doaj-art-cfc51f882ed04959a1ba80bcb5e349e6
institution Kabale University
issn 2695-8821
language English
publishDate 2025-01-01
publisher Universitat Politècnica de València
record_format Article
series Journal of Applied Research in Technology & Engineering
spelling doaj-art-cfc51f882ed04959a1ba80bcb5e349e62025-01-21T08:46:46ZengUniversitat Politècnica de ValènciaJournal of Applied Research in Technology & Engineering2695-88212025-01-0161243310.4995/jarte.2025.2175520943EZATECH: Design and development of Artificial Intelligence technologies for knowledge management throughout the life cycle of workers in organizationsMaria Ruiz0https://orcid.org/0000-0001-6900-4382Juan Ignacio Igartua1https://orcid.org/0000-0002-7039-4629Jabier Retegi2https://orcid.org/0000-0001-5953-0274Aitor Uriondo3Jose Antonio Sudupe4Izaskun Heriz5Estibaliz Garate6Mondragon Corporation (Spain)Mondragon UniversityMondragon University Axular Lizeoa S.Coop.Elkarmedia S.L.JMA Alejandro Altuna S.L.U.Elkarmedia S.L.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.https://polipapers.upv.es/index.php/JARTE/article/view/21755knowledge managementeducationindustryartificial intelligence
spellingShingle Maria Ruiz
Juan Ignacio Igartua
Jabier Retegi
Aitor Uriondo
Jose Antonio Sudupe
Izaskun Heriz
Estibaliz Garate
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
knowledge management
education
industry
artificial intelligence
title EZATECH: Design and development of Artificial Intelligence technologies for knowledge management throughout the life cycle of workers in organizations
title_full EZATECH: Design and development of Artificial Intelligence technologies for knowledge management throughout the life cycle of workers in organizations
title_fullStr EZATECH: Design and development of Artificial Intelligence technologies for knowledge management throughout the life cycle of workers in organizations
title_full_unstemmed EZATECH: Design and development of Artificial Intelligence technologies for knowledge management throughout the life cycle of workers in organizations
title_short EZATECH: Design and development of Artificial Intelligence technologies for knowledge management throughout the life cycle of workers in organizations
title_sort ezatech design and development of artificial intelligence technologies for knowledge management throughout the life cycle of workers in organizations
topic knowledge management
education
industry
artificial intelligence
url https://polipapers.upv.es/index.php/JARTE/article/view/21755
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