Convergence of Intelligent Networks: Harnessing the Power of Artificial Intelligence and Blockchain for Future Innovations

Emilyani; Marviola Grace Hardini; Natasya Aprila Yusuf; Achani Rahmania Az Zahra

doi:10.34306/ajri.v5i2.1068

Authors

Emilyani Rey Incorporation
Marviola Grace Hardini IJIIS Incorporation
Natasya Aprila Yusuf Universitas Raharja
Achani Rahmania Az Zahra University of Raharja

DOI:

https://doi.org/10.34306/ajri.v5i2.1068

Keywords:

Artificial Intelligence, Blockchain, Innovation, Technology, Security

Abstract

This research aims to explore the convergence between smart networks, artificial intelligence (AI), and blockchain technology as a foundation for future innovation. The background includes the rapid development of information and communications technology, which is driving increasing integration between AI and blockchain in infrastructure networks. The methods used include a comprehensive literature survey and in-depth analysis of the latest trends in the development of this technology. The issues examined include interoperability, security, and privacy challenges faced in integrating AI and blockchain. The research results show that this convergence promises to improve efficiency, transparency and transparency in a variety of applications, from supply chain management to financial services. However, significant challenges such as scalability and regulation must also be overcome to realize the full potential of this convergence. In conclusion, the merger of AI and blockchain expands the scope of technological innovation by leveraging the strengths of each, but more efforts are needed to address further issues so that this convergence can be implemented widely and sustainably in various industrial fields.

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References

N. Anantrasirichai and D. Bull, Artificial intelligence in the creative industries: a review, vol. 55, no. 1. Springer Netherlands, 2022. doi: 10.1007/s10462-021-10039-7.

H. Ko, S. Lee, Y. Park, and A. Choi, “A Survey of Recommendation Systems: Recommendation Models, Techniques, and Application Fields,” Electron., vol. 11, no. 1, 2022, doi: 10.3390/electronics11010141.

B. P. Setiawan and M. Zaki, “Landslide Management for Batu Tulis–Cross Bogor–Sukabumi Station Double Lane Project at STA 5+ 550,” ADI J. Recent Innov., vol. 5, no. 2, pp. 168–180, 2024.

R. Heriyanto, T. Mariyanti, and A. R. A. Zahra, “Microfinance Management Strategy Using Poverty Reduction Technology,” in 2023 11th International Conference on Cyber and IT Service Management (CITSM), 2023, pp. 1–5.

D. S. S. Wuisan, R. A. Sunardjo, Q. Aini, N. A. Yusuf, and U. Rahardja, “Integrating Artificial Intelligence in Human Resource Management: A SmartPLS Approach for Entrepreneurial Success,” Aptisi Trans. Technopreneursh., vol. 5, no. 3, pp. 334–345, 2023.

E. A. Beldiq, B. Callula, N. A. Yusuf, and A. R. A. Zahra, “Unlocking Organizational Potential: Assessing the Impact of Technology through SmartPLS in Advancing Management Excellence,” APTISI Trans. Manag., vol. 8, no. 1, pp. 40–48, 2024.

A. R. A. Zahra, D. Jonas, I. Erliyani, and N. A. Yusuf, “Assessing Customer Satisfaction in AI-Powered Services: An Empirical Study with SmartPLS,” Int. Trans. Artif. Intell., vol. 2, no. 1, pp. 81–89, 2023.

I. Handayani, D. Apriani, M. Mulyati, A. R. A. Zahra, and N. A. Yusuf, “Enhancing Security and Privacy of Patient Data in Healthcare: A SmartPLS Analysis of Blockchain Technology Implementation,” IAIC Trans. Sustain. Digit. Innov., vol. 5, no. 1, pp. 8–17, 2023.

I. Handayani, D. Apriani, M. Mulyati, N. A. Yusuf, and A. R. A. Zahra, “A Survey on User Experience of Blockchain Transactions: Security and Adaptability Issues,” Blockchain Front. Technol., vol. 3, no. 1, pp. 160–168, 2023.

Y. Duan, J. S. Edwards, and Y. K. Dwivedi, “Artificial intelligence for decision making in the era of Big Data–evolution, challenges and research agenda,” Int. J. Inf. Manage., vol. 48, pp. 63–71, 2019.

R. Sawhney, A. Malik, S. Sharma, and V. Narayan, “A comparative assessment of artificial intelligence models used for early prediction and evaluation of chronic kidney disease,” Decis. Anal. J., vol. 6, p. 100169, 2023.

M. G. Jacobides, S. Brusoni, and F. Candelon, “The evolutionary dynamics of the artificial intelligence ecosystem,” Strateg. Sci., vol. 6, no. 4, pp. 412–435, 2021.

Z. Wang, M. Li, J. Lu, and X. Cheng, “Business Innovation based on artificial intelligence and Blockchain technology,” Inf. Process. Manag., vol. 59, no. 1, p. 102759, 2022.

D. Jonas, N. A. Yusuf, and A. R. A. Zahra, “Enhancing Security Frameworks with Artificial Intelligence in Cybersecurity,” Int. Trans. Educ. Technol., vol. 2, no. 1, pp. 83–91, 2023.

S. Kosasi, C. Lukita, M. H. R. Chakim, A. Faturahman, and D. A. R. Kusumawardhani, “The Influence of Digital Artificial Intelligence Technology on Quality of Life with a Global Perspective,” Aptisi Trans. Technopreneursh., vol. 5, no. 3, pp. 240–250, 2023.

L. Balyen and T. Peto, “Promising artificial intelligence-machine learning-deep learning algorithms in ophthalmology,” Asia-Pacific J. Ophthalmol., vol. 8, no. 3, pp. 264–272, 2019.

S.-L. Wamba-Taguimdje, S. Fosso Wamba, J. R. Kala Kamdjoug, and C. E. Tchatchouang Wanko, “Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects,” Bus. Process Manag. J., vol. 26, no. 7, pp. 1893–1924, 2020.

X. Lin, R. Z. Wu, Y. T. Lim, J. Han, and S. C. Chen, “Understanding the sustainable usage intention of mobile payment technology in Korea: Cross-countries comparison of Chinese and Korean users,” Sustain., vol. 11, no. 19, pp. 1–23, 2019, doi: 10.3390/su11195532.

A. Pambudi, N. Lutfiani, M. Hardini, A. R. A. Zahra, and U. Rahardja, “The Digital Revolution of Startup Matchmaking: AI and Computer Science Synergies,” in 2023 Eighth International Conference on Informatics and Computing (ICIC), 2023, pp. 1–6.

Y. K. Dwivedi et al., “Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy,” Int. J. Inf. Manage., vol. 57, p. 101994, 2021.

A. S. George, “Securing the Future of Finance: How AI, Blockchain, and Machine Learning Safeguard Emerging Neobank Technology Against Evolving Cyber Threats,” Partners Univers. Innov. Res. Publ., vol. 1, no. 1, pp. 54–66, 2023.

S. K. Hassan and A. Ibrahim, “The role of Artificial Intelligence in Cyber Security and Incident Response,” Int. J. Electron. Crime Investig., vol. 7, no. 2, 2023.

R. D’Hauwers, J. Van Der Bank, and M. Montakhabi, “Trust, transparency and security in the sharing economy: What is the Government’s role?,” Technol. Innov. Manag. Rev., vol. 10, no. 5, 2020.

N. Kaloudi and J. Li, “The ai-based cyber threat landscape: A survey,” ACM Comput. Surv., vol. 53, no. 1, pp. 1–34, 2020.

S. Kumar, U. Gupta, A. K. Singh, and A. K. Singh, “Artificial Intelligence: Revolutionizing cyber security in the Digital Era,” J. Comput. Mech. Manag., vol. 2, no. 3, pp. 31–42, 2023.

T. Hariguna, Y. Durachman, M. Yusup, and S. Millah, “Blockchain technology transformation in advancing future change,” Blockchain Front. Technol., vol. 1, no. 01, pp. 13–20, 2021.

B. Domini, A. S. Dewi, and G. P. Cesna, “The Effects of Artificial Intelligence (AI) on Company Performance Including the Value of AI-based Business Transformation Initiatives,” IAIC Trans. Sustain. Digit. Innov., vol. 5, no. 1, pp. 24–38, 2023.

E. Sulistyaningsih, W. Murti, and C. Ratnasih, “Analysis of E-Marketing Strategy and Business Innovation in Optimizing Improvement of Service Quality and Its Effect on MSME Income,” ADI J. Recent Innov., vol. 5, no. 2, pp. 155–167, 2024.