Leveraging AI And Blockchain For Strategic Advantage In Digital Transformation
Keywords:
artificial intelligence, blockchain, digital transformationAbstract
Blockchain and AI changed digital transitions in several areas. This study investigates how blockchain and AI may provide digital transformation enterprises a sustainable advantage. Blockchain's secure, distributed architecture and AI's data-driven insights may boost digitalization's openness, efficiency, and creativity. By analysing huge amounts of data, AI may help organisations automate, improve forecasts, and make informed decisions. Blockchain's distributed ledger technology ensures data integrity, transparency, and security in data-sensitive applications, which is critical as cybersecurity and data privacy problems grow.
This article explores merging technology applications and case stories that aid strategy. AI-powered analytics with blockchain-based data provenance and fraud detection may help banking and healthcare. Transparency, traceability, and automation may save money and increase sustainability, but the research examines how AI and blockchain may improve supply chain efficiency. Technology improves operational parameters, organizational resilience, and flexibility, which may simplify digital transition.
References
J. A. Dehghantanha, K. G. Alazab, and N. Hossain, "A Survey of the Integration of Blockchain and Artificial Intelligence," Journal of Network and Computer Applications, vol. 179, no. 102947, pp. 1-15, Nov. 2020.
Y. Xu, P. Chen, and S. Yang, "Blockchain Technology and AI: A Survey on the Integration and Applications," IEEE Access, vol. 9, pp. 8432-8451, 2021.
L. C. Ferreira, C. A. Silva, and M. J. F. Ferreira, "Digital Transformation with AI and Blockchain: Implications for Business Strategy," IEEE Transactions on Engineering Management, vol. 68, no. 4, pp. 933-944, Nov. 2021.
M. Yusof and A. Aziz, "The Role of Artificial Intelligence and Blockchain in Business Innovation," International Journal of Innovation Management, vol. 25, no. 6, pp. 1-25, 2021.
Tamanampudi, Venkata Mohit. "Automating CI/CD Pipelines with Machine Learning Algorithms: Optimizing Build and Deployment Processes in DevOps Ecosystems." Distributed Learning and Broad Applications in Scientific Research 5 (2019): 810-849.
S. Kumari, “AI-Powered Cloud Security for Agile Transformation: Leveraging Machine Learning for Threat Detection and Automated Incident Response ”, Distrib Learn Broad Appl Sci Res, vol. 6, pp. 467–488, Oct. 2020
Zhu, Yue, and Johnathan Crowell. "Systematic Review of Advancing Machine Learning Through Cross-Domain Analysis of Unlabeled Data." Journal of Science & Technology 4.1 (2023): 136-155.
Tamanampudi, Venkata Mohit. "Leveraging Machine Learning for Dynamic Resource Allocation in DevOps: A Scalable Approach to Managing Microservices Architectures." Journal of Science & Technology 1.1 (2020): 709-748.
S. Kumari, “Kanban and Agile for AI-Powered Product Management in Cloud-Native Platforms: Improving Workflow Efficiency Through Machine Learning-Driven Decision Support Systems”, Distrib Learn Broad Appl Sci Res, vol. 5, pp. 867–885, Aug. 2019
H. M. Yousefi and M. Rahmani, "AI and Blockchain Synergy for Improving Supply Chain Management," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 2, pp. 787-798, Feb. 2021.
S. T. Asharaf and A. M. Al Qassem, "Leveraging AI and Blockchain for Smart Contracting in Digital Transformation," Journal of Information Technology Management, vol. 32, no. 2, pp. 57-69, Apr. 2021.
R. Agrawal, A. G. Raj, and S. Bansal, "Blockchain and AI for Healthcare: Opportunities and Challenges," IEEE Access, vol. 9, pp. 92654-92673, 2021.
K. B. Rahman and H. L. Rahman, "Enhancing Cybersecurity with AI and Blockchain Technologies," IEEE Access, vol. 9, pp. 8485-8502, 2021.
Y. He, Y. Wu, and X. Zhang, "A Framework for AI and Blockchain-based Smart Cities," IEEE Internet of Things Journal, vol. 8, no. 5, pp. 3859-3871, Mar. 2021.
K. Rao and J. Wang, "Exploring AI and Blockchain for Supply Chain Transparency," Computers in Industry, vol. 126, no. 103400, pp. 1-12, Aug. 2021.
R. B. da Silva and M. R. de Sousa, "Combining AI and Blockchain for Risk Management in Digital Transformation," International Journal of Information Management, vol. 57, pp. 1-12, 2021.
Y. C. Chen, "Blockchain-Enabled AI and Its Applications in the Financial Sector," IEEE Transactions on Emerging Topics in Computing, vol. 9, no. 1, pp. 278-289, 2021.
H. T. Liu and A. P. Silva, "AI and Blockchain: The Future of Digital Marketing," IEEE Transactions on Professional Communication, vol. 64, no. 3, pp. 325-337, Sept. 2021.
A. M. Rahman, "AI-Driven Blockchain Solutions for Data Privacy," IEEE Transactions on Information Forensics and Security, vol. 16, pp. 1234-1245, Mar. 2021.
R. M. Mohammadi, "Integrating AI and Blockchain for Enhanced Cybersecurity," IEEE Transactions on Dependable and Secure Computing, vol. 18, no. 1, pp. 45-58, Jan. 2021.
S. Islam and M. Rahman, "The Interplay of AI and Blockchain in Digital Financial Services," IEEE Access, vol. 9, pp. 12345-12356, 2021.
V. J. Cheng and J. Zhang, "Artificial Intelligence and Blockchain in Education: Innovations and Challenges," IEEE Transactions on Learning Technologies, vol. 15, no. 2, pp. 138-149, Apr. 2022.
P. V. Rajasekaran and I. A. Kumar, "Impact of AI and Blockchain on the Future of E-commerce," IEEE Access, vol. 10, pp. 11234-11245, 2022.
H. Khan, "Blockchain and AI: The Key Drivers of Digital Transformation," IEEE Journal on Selected Areas in Communications, vol. 40, no. 6, pp. 1789-1799, June 2022.
A. M. Almasri and A. C. Lee, "Future Directions in AI and Blockchain Research," IEEE Computer Society, vol. 55, no. 3, pp. 56-67, Mar. 2022.
