An effective decision-making trilogy: data-driven, artificial intelligence, and blockchain
| Main Author: | |
|---|---|
| Publication Date: | 2024 |
| Other Authors: | , |
| Language: | eng |
| Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Download full: | http://hdl.handle.net/10198/29656 |
Summary: | 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. |
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An effective decision-making trilogy: data-driven, artificial intelligence, and blockchainData drivenArtificial intelligenceBlockchainDecision-makingProactivityThis 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.SpringerBiblioteca Digital do IPBGuarda, TeresaPinto, FilipeLopes, Isabel Maria2024-03-27T14:39:00Z20242024-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10198/29656engGuarda, 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 978-981-99-8324-7978-981-99-8323-010.1007/978-981-99-8324-7_48info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-25T12:21:16Zoai:bibliotecadigital.ipb.pt:10198/29656Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T13:26:22.044253Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
An effective decision-making trilogy: data-driven, artificial intelligence, and blockchain |
| title |
An effective decision-making trilogy: data-driven, artificial intelligence, and blockchain |
| spellingShingle |
An effective decision-making trilogy: data-driven, artificial intelligence, and blockchain Guarda, Teresa Data driven Artificial intelligence Blockchain Decision-making Proactivity |
| title_short |
An effective decision-making trilogy: data-driven, artificial intelligence, and blockchain |
| title_full |
An effective decision-making trilogy: data-driven, artificial intelligence, and blockchain |
| title_fullStr |
An effective decision-making trilogy: data-driven, artificial intelligence, and blockchain |
| title_full_unstemmed |
An effective decision-making trilogy: data-driven, artificial intelligence, and blockchain |
| title_sort |
An effective decision-making trilogy: data-driven, artificial intelligence, and blockchain |
| author |
Guarda, Teresa |
| author_facet |
Guarda, Teresa Pinto, Filipe Lopes, Isabel Maria |
| author_role |
author |
| author2 |
Pinto, Filipe Lopes, Isabel Maria |
| author2_role |
author author |
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Biblioteca Digital do IPB |
| dc.contributor.author.fl_str_mv |
Guarda, Teresa Pinto, Filipe Lopes, Isabel Maria |
| dc.subject.por.fl_str_mv |
Data driven Artificial intelligence Blockchain Decision-making Proactivity |
| topic |
Data driven Artificial intelligence Blockchain Decision-making Proactivity |
| description |
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. |
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2024 |
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2024-03-27T14:39:00Z 2024 2024-01-01T00:00:00Z |
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conference object |
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info:eu-repo/semantics/publishedVersion |
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http://hdl.handle.net/10198/29656 |
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http://hdl.handle.net/10198/29656 |
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eng |
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eng |
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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 978-981-99-8324-7 978-981-99-8323-0 10.1007/978-981-99-8324-7_48 |
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Springer |
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Springer |
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