Publication
An effective decision-making trilogy: data-driven, artificial intelligence, and blockchain
dc.contributor.author | Guarda, Teresa | |
dc.contributor.author | Pinto, Filipe | |
dc.contributor.author | Lopes, Isabel Maria | |
dc.date.accessioned | 2024-03-27T14:39:00Z | |
dc.date.available | 2024-03-27T14:39:00Z | |
dc.date.issued | 2024 | |
dc.description.abstract | This paper presents an insightful analysis of the trilogy of data-driven tech niques, artificial intelligence (AI), and blockchain technology as a power structure that contributes to an efficient, agile, and secure decision-making process based on the analysis of large datasets is further enhanced by the integration of more receptive AI techniques, enabling pattern recognition, prediction, and automation. Meanwhile, blockchain technology provides a decentralized, transparent, and immutable platform of secure data, facilitates trust, and streamlines data sharing. This paper explores the synergistic potential of combining data-driven approaches, AI, and blockchain to transform decision-making across industries. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Guarda, Teresa; Pinto, Filipe; Lopes, Isabel Maria ( 2024). An effective decision-making trilogy: data-driven, artificial intelligence, and blockchain. In International Conference on Information Technology and Applications. ICITA 2022. p. 575-583. ISBN 978-981-99-8324-7 | pt_PT |
dc.identifier.doi | 10.1007/978-981-99-8324-7_48 | pt_PT |
dc.identifier.isbn | 978-981-99-8323-0 | |
dc.identifier.uri | http://hdl.handle.net/10198/29656 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | Springer | pt_PT |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | Data driven | pt_PT |
dc.subject | Artificial intelligence | pt_PT |
dc.subject | Blockchain | pt_PT |
dc.subject | Decision-making | pt_PT |
dc.subject | Proactivity | pt_PT |
dc.title | An effective decision-making trilogy: data-driven, artificial intelligence, and blockchain | pt_PT |
dc.type | conference object | |
dspace.entity.type | Publication | |
oaire.citation.conferencePlace | Lisboa | pt_PT |
oaire.citation.endPage | 583 | pt_PT |
oaire.citation.startPage | 575 | pt_PT |
oaire.citation.title | International Conference on Information Technology and Applications. ICITA 2022. | pt_PT |
person.familyName | Lopes | |
person.givenName | Isabel Maria | |
person.identifier.ciencia-id | 8812-AE1C-A316 | |
person.identifier.orcid | 0000-0002-5614-3516 | |
person.identifier.rid | A-1728-2014 | |
person.identifier.scopus-author-id | 55211017300 | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | conferenceObject | pt_PT |
relation.isAuthorOfPublication | 111716db-94a0-4c24-b739-330dc2ae79fc | |
relation.isAuthorOfPublication.latestForDiscovery | 111716db-94a0-4c24-b739-330dc2ae79fc |
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