PHYRON: cognitive computing for the creation of an innovative Intelligence Experience Center

This research presents the results of a project called “PHYRON: Cognitive Computing for the creation of an innovative Intelligence Experience Center”, funded by the Basque Government (Economic Development, Sustainability and Environment Department). The project started in April 2019 and it will end...

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Main Authors: Maria Ruiz, Juan José Rodriguez, Gorka Erlaiz, Iratxe Olibares
Format: Article
Language:English
Published: Universitat Politecnica de Valencia 2021-07-01
Series:International Journal of Production Management and Engineering
Subjects:
Online Access:https://polipapers.upv.es/index.php/IJPME/article/view/15300
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spelling doaj-7025c0f3dba54b4aaf4094d7a784dfcf2021-07-29T08:29:39ZengUniversitat Politecnica de ValenciaInternational Journal of Production Management and Engineering2340-48762021-07-019210311210.4995/ijpme.2021.153008698PHYRON: cognitive computing for the creation of an innovative Intelligence Experience CenterMaria Ruiz0Juan José Rodriguez1Gorka Erlaiz2Iratxe Olibares3ISEA S.COOP. (MONDRAGON Corporation)INDABA Consultores S.L.SARETEKNIKA Servicios Globales Postventa S. Coop.LANALDEN S.A.This research presents the results of a project called “PHYRON: Cognitive Computing for the creation of an innovative Intelligence Experience Center”, funded by the Basque Government (Economic Development, Sustainability and Environment Department). The project started in April 2019 and it will end in December 2021. Its main objective was to arrange an industrial research about cognitive computing. The main aim was the application of these systems for the development of an Intelligent Experience Center (IExC) to facilitate:  i) enrichment of processes, products and services, in general client experiences, ii) automatic generation of technical predictions related to the product and the client behaviour through the exploitation of acquired knowledge, and iii) rationalization and automation of the processes that are involved in the after sale services both at technical and management level. The technological outcome presented in this paper is built using cognitive engines to enable learning from the client experience, and predictive models to anticipate client necessities.https://polipapers.upv.es/index.php/IJPME/article/view/15300cognitive computingdigitalizationdigital transformationpredictive modelsalgorithmsbig data
collection DOAJ
language English
format Article
sources DOAJ
author Maria Ruiz
Juan José Rodriguez
Gorka Erlaiz
Iratxe Olibares
spellingShingle Maria Ruiz
Juan José Rodriguez
Gorka Erlaiz
Iratxe Olibares
PHYRON: cognitive computing for the creation of an innovative Intelligence Experience Center
International Journal of Production Management and Engineering
cognitive computing
digitalization
digital transformation
predictive models
algorithms
big data
author_facet Maria Ruiz
Juan José Rodriguez
Gorka Erlaiz
Iratxe Olibares
author_sort Maria Ruiz
title PHYRON: cognitive computing for the creation of an innovative Intelligence Experience Center
title_short PHYRON: cognitive computing for the creation of an innovative Intelligence Experience Center
title_full PHYRON: cognitive computing for the creation of an innovative Intelligence Experience Center
title_fullStr PHYRON: cognitive computing for the creation of an innovative Intelligence Experience Center
title_full_unstemmed PHYRON: cognitive computing for the creation of an innovative Intelligence Experience Center
title_sort phyron: cognitive computing for the creation of an innovative intelligence experience center
publisher Universitat Politecnica de Valencia
series International Journal of Production Management and Engineering
issn 2340-4876
publishDate 2021-07-01
description This research presents the results of a project called “PHYRON: Cognitive Computing for the creation of an innovative Intelligence Experience Center”, funded by the Basque Government (Economic Development, Sustainability and Environment Department). The project started in April 2019 and it will end in December 2021. Its main objective was to arrange an industrial research about cognitive computing. The main aim was the application of these systems for the development of an Intelligent Experience Center (IExC) to facilitate:  i) enrichment of processes, products and services, in general client experiences, ii) automatic generation of technical predictions related to the product and the client behaviour through the exploitation of acquired knowledge, and iii) rationalization and automation of the processes that are involved in the after sale services both at technical and management level. The technological outcome presented in this paper is built using cognitive engines to enable learning from the client experience, and predictive models to anticipate client necessities.
topic cognitive computing
digitalization
digital transformation
predictive models
algorithms
big data
url https://polipapers.upv.es/index.php/IJPME/article/view/15300
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