Blockchain and AI: Driving the future of data security and business intelligence
1 Business Analytics (2025), Trine University, USA.
2 Digital Business Management (2022), University of Portsmouth, UK.
3 Accounting (2019), Army Institute of Business Administration, (Affiliated with the BUP), Bangladesh.
Review Article
World Journal of Advanced Research and Reviews, 2024, 23(01), 2559–2570
Publication history:
Received on 13 June 2024; revised on 24 July 2024; accepted on 26 July 2024
Abstract:
The integration of Blockchain technology and Artificial Intelligence (AI) is revolutionizing data management and business intelligence. Blockchain, with its decentralized, immutable ledger, ensures data integrity and security, while AI enhances data analysis through advanced algorithms and predictive capabilities. This article explores the synergy between these two transformative technologies, examining how their combined strengths can address modern challenges in data security and business operations.
The paper begins with an overview of Blockchain and AI, detailing their foundational principles and recent advancements. It then delves into their applications in enhancing data security, highlighting Blockchain's role in providing encryption and immutability and AI's capabilities in threat detection and response. The discussion extends to their impact on business intelligence, showcasing how Blockchain contributes to transparent and verifiable data, while AI drives advanced analytics and decision-making.
Real-world case studies illustrate successful implementations of Blockchain and AI integration, demonstrating their potential to revolutionize various industries. The article also addresses technical challenges, privacy concerns, and regulatory issues associated with these technologies. Finally, it outlines future directions for research and innovation, emphasizing the need for continued exploration of their combined potential.
By providing a comprehensive analysis of Blockchain and AI's transformative impact, this article aims to offer valuable insights for researchers, practitioners, and policymakers seeking to leverage these technologies for improved data security and business intelligence.
Keywords:
Blockchain; AI; Data Security; Business Intelligence; Data Integrity; AI-driven Threat Detection; Blockchain Applications.
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Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0