Data Integration with Artificial Intelligence

Abstract

The research in this chapter is driven by the hypothesis that integrating blockchain technology with artificial intelligence (AI) can significantly enhance data sharing, access control, and data integration. The identified problems within the existing literature include the need to address access control and privacy issues, ensure data integrity and consistency, facilitate emergency and healthcare-specific data sharing, and establish effective governance and compliance mechanisms. These problems have been addressed through innovative solutions, such as attribute-based access control, fine-grained access control, and decentralized sharing mechanisms, along with cryptographic methods and consensus algorithms to maintain data reliability. Furthermore, the integration of blockchain with AI, specifically in edge computing environments, has opened new avenues for cross-domain data sharing and secure data analysis. The research presented herein builds upon these prior works by focusing on the integration of AI, which has the potential to enhance the efficiency and intelligence of data processing in the context of blockchain-based data integration. In comparison with the most current results, this research aims to contribute to the ongoing evolution of the field by exploring the synergies between blockchain and AI, potentially advancing the state of the art in data integration. The previous works lay a solid foundation, but the integration of AI brings an additional layer of intelligence to data processing, potentially enabling more informed decision-making and insights. This innovative approach may open up new possibilitiesfor more efficient data sharing and integration in diverse domains, offering enhanced solutions to the problems of access control, privacy, data integrity, and governance. The current research strives to bridge the gap between blockchain and AI, offering a promising path towards a more comprehensive and intelligent approach to data integration and sharing, thereby addressing contemporary challenges in the field. © 2024 Nova Science Publishers, Inc. All rights reserved.