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dc.contributor.authorHerrera-Viedma, Enrique
dc.contributor.authorCarrasco, Ramón Alberto
dc.contributor.authorMoreno, Caio
dc.date2019-09
dc.date.accessioned2022-03-15T09:23:29Z
dc.date.available2022-03-15T09:23:29Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/12632
dc.description.abstractMarket-Oriented companies are committed to understanding both the needs of their customers, and the capabilities and plans of their competitors through the processes of acquiring and evaluating market information in a systematic and anticipatory manner. On the other hand, most companies in the last years have defined that one of their main strategic objectives for the next years is to become a truly data-driven organisation in the current Big Data context. They are willing to invest heavily in Data and Artificial Intelligence Strategy and build enterprise data platforms that will enable this Market-Oriented vision. In this paper, it is presented an Artificial Intelligence Cloud Architecture capable to help global companies to move from the use of data from descriptive to prescriptive and leveraging existing cloud services to deliver true Market-Oriented in a much shorter time (compared with traditional approaches).es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 5, nº 6
dc.relation.urihttps://www.ijimai.org/journal/bibcite/reference/2728es_ES
dc.rightsopenAccesses_ES
dc.subjectartificial intelligencees_ES
dc.subjectbig dataes_ES
dc.subjectcloud computinges_ES
dc.subjectmarket-oriented organisationses_ES
dc.subjectdata supermarketes_ES
dc.subjectIJIMAIes_ES
dc.titleData and Artificial Intelligence Strategy: A Conceptual Enterprise Big Data Cloud Architecture to Enable Market-Oriented Organisationses_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES
dc.identifier.doihttp://doi.org/10.9781/ijimai.2019.06.003


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