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Advisor(s)
Abstract(s)
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.
Description
Keywords
Data driven Artificial intelligence Blockchain Decision-making Proactivity
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
Publisher
Springer