<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-27T22:42:49Z</responseDate><request verb="GetRecord" identifier="oai:docta.ucm.es:20.500.14352/114730" metadataPrefix="mods">https://docta.ucm.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:docta.ucm.es:20.500.14352/114730</identifier><datestamp>2025-03-18T13:54:58Z</datestamp><setSpec>com_20.500.14352_14</setSpec><setSpec>col_20.500.14352_15</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
   <mods:name>
      <mods:namePart>Moreno, Caio</mods:namePart>
   </mods:name>
   <mods:name>
      <mods:namePart>Carrasco González, Ramón Alberto</mods:namePart>
   </mods:name>
   <mods:name>
      <mods:namePart>Herrera-Viedma, Enrique</mods:namePart>
   </mods:name>
   <mods:extension>
      <mods:dateAvailable encoding="iso8601">2025-01-16T14:51:20Z</mods:dateAvailable>
   </mods:extension>
   <mods:extension>
      <mods:dateAccessioned encoding="iso8601">2025-01-16T14:51:20Z</mods:dateAccessioned>
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   <mods:originInfo>
      <mods:dateIssued encoding="iso8601">2019-06-22</mods:dateIssued>
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   <mods:identifier type="citation">Moreno, C., Carrasco González, R.A. y Herrera Viedma, E. (2019) «Data and Artificial Intelligence Strategy: A Conceptual Enterprise Big Data Cloud Architecture to Enable Market-Oriented Organisations», IJIMAI, 5(6), pp. 7-14. Disponible en: https://doi.org/10.9781/IJIMAI.2019.06.003.</mods:identifier>
   <mods:identifier type="issn">1989-1660</mods:identifier>
   <mods:identifier type="doi">10.9781/ijimai.2019.06.003</mods:identifier>
   <mods:identifier type="uri">https://hdl.handle.net/20.500.14352/114730</mods:identifier>
   <mods:identifier type="officialurl">https://doi.org/10.9781/ijimai.2019.06.003</mods:identifier>
   <mods:identifier type="relatedurl">https://www.ijimai.org/journal/bibcite/reference/2728</mods:identifier>
   <mods:abstract>Market-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</mods:abstract>
   <mods:language>
      <mods:languageTerm>eng</mods:languageTerm>
   </mods:language>
   <mods:accessCondition type="useAndReproduction">http://creativecommons.org/licenses/by-nc-nd/4.0/</mods:accessCondition>
   <mods:accessCondition type="useAndReproduction">open access</mods:accessCondition>
   <mods:accessCondition type="useAndReproduction">Attribution-NonCommercial-NoDerivatives 4.0 International</mods:accessCondition>
   <mods:titleInfo>
      <mods:title>Data and Artificial Intelligence strategy: a conceptual enterprise Big Data cloud architecture to enable market-oriented organisations</mods:title>
   </mods:titleInfo>
   <mods:genre>journal article</mods:genre>
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