An effective decision-making trilogy: data-driven, artificial intelligence, and blockchain

• Author(s): Guarda, Teresa ; Pinto, Filipe ; Lopes, Isabel Maria
• Date: 2024
• Persistent ID: http://hdl.handle.net/10198/29656
• Origin: Biblioteca Digital do IPB
• Subject(s): Data driven; Artificial intelligence; Blockchain; Decision-making; Proactivity
• Document Type: Conference paper
• Language: English
• Contributor(s): Biblioteca Digital do IPB

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.