AI-Powered Blockchain Solutions Improve Multi-Cloud Data Provenance
Keywords:
data provenance, multi-cloud environments, artificial intelligence, blockchain, data integrity, anomaly detectionAbstract
Multi-cloud companies require data integrity, provenance, and accountability. Traditional methods struggle with cross-platform cloud data. In multi-cloud scenarios, AI and blockchain may enhance data provenance. Data tampering, provenance tracking, and compliance are handled via AI-powered data classification, anomaly detection, and blockchain's immutable ledger automation Article covers technology design, architecture, applications, and limitations. AI-powered blockchain impacts finance, healthcare, and supply chain management. Mitigations assess resources, interoperability, and scalability. Conclusions include AI and blockchain convergence research for multi-cloud data provenance.
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Published
01-04-2021
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Section
Articles
How to Cite
[1]
Sowmya Gudekota, “AI-Powered Blockchain Solutions Improve Multi-Cloud Data Provenance”, Essex Journal of AI Ethics and Responsible Innovation, vol. 1, pp. 556–562, Apr. 2021, Accessed: May 31, 2026. [Online]. Available: https://ejaeai.org/index.php/publication/article/view/80