Browsing by Author "Pinto, Filipe"
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- An effective decision-making trilogy: data-driven, artificial intelligence, and blockchainPublication . Guarda, Teresa; Pinto, Filipe; Lopes, Isabel MariaThis 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.