Rise of blockchain and its synergy with AI/ML in transforming financial services

Authors

  • RVS Praveen Director Utilities Americas, LTI Mindtree, Houston, Texas, USA
  • Hari Krishna Vemuri Enterprise Performance, Deloitte Consulting LLP, 1111 Bagby St Suite 4500, Houston, Texas, USA
  • Satya Subramanya Sai Ram Gopal Peri Business Integration Architecture Manager, HCM Payroll Capability, Accenture, Houston, Texas, USA
  • Sriharsha Sista Engagement Manager, AWS, Amazon, Houston, Texas, USA
  • Vinay Saxena Professor, Department of Mathematics, Kisan Post Graduate College, Bahraich - 271801 Uttar Pradesh, India
  • Parul Saxena Associate Professor, Department of Computer Science, Soban Singh Jeena University, Almora- 263601, Uttarakhand, India

Keywords:

Blockchain, Artificial Intelligence, Machine Learning, Financial Services, DeFi, Smart Contracts

Abstract

The rapid evolution of blockchain technology, alongside the growing sophistication of artificial intelligence (AI) and machine learning (ML), is reshaping the global financial services landscape. While blockchain ensures data immutability, transparency, and decentralized trust, AI/ML adds layers of predictive intelligence, automation, and real-time decision-making capabilities. Together, these technologies are driving innovations in fraud detection, smart contracts, decentralized finance (DeFi), Know Your Customer (KYC) compliance, and credit risk modeling. This paper explores how the synergy between blockchain and AI/ML is creating a new paradigm of secure, intelligent, and decentralized financial services. It also examines current applications, technological challenges, regulatory considerations, and future opportunities. Through a multi-disciplinary approach, the paper underscores the transformative potential of integrating blockchain and AI/ML to enable more resilient, inclusive, and efficient financial systems.

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References

1. Zhang, H., Li, Y., & Wang, L. (2024). Blockchain-AI integration for smart contract governance: A secure and intelligent approach. Journal of Financial Technology and Regulation, 12(1), 1–15.

2. Nguyen, D., Patel, M., & Sharma, A. (2024). Machine learning-enhanced DeFi protocols: Risks and opportunities. FinTech Advances, 7(2), 55–72.

3. Chen, Z., & Ahmed, S. (2024). AI-driven anomaly detection in blockchain-enabled financial networks. IEEE Transactions on Computational Social Systems, 11(3), 120–133.

4. Roy, B., & Kim, J. (2024). Financial inclusion through blockchain and AI: A case study of rural credit systems. Journal of Emerging Markets Finance and Trade, 60(4), 234–249.

5. Liu, Q., Singh, R., & Wang, M. (2023). Blockchain meets AI: Revolutionizing identity verification in digital banking. Journal of Financial Innovation, 5(3), 89–103.

6. Kaur, T., & Mehrotra, V. (2023). AI and blockchain in trade finance: A comparative analysis. International Review of Financial Technologies, 4(1), 19–36.

7. Vinod H. Patil, Sheela Hundekari, Anurag Shrivastava, Design and Implementation of an IoT-Based Smart Grid Monitoring System for Real-Time Energy Management, Vol. 11 No. 1 (2025): IJCESEN. https://doi.org/10.22399/ijcesen.854

8. Dr. Sheela Hundekari, Dr. Jyoti Upadhyay, Dr. Anurag Shrivastava, Guntaj J, Saloni Bansal5, Alok

Jain, Cybersecurity Threats in Digital Payment Systems (DPS): A Data Science Perspective, Journal of Information Systems Engineering and Management, 2025,10(13s)e-ISSN:2468-4376.

https://doi.org/10.52783/jisem.v10i13s.2104

9. Sheela Hhundekari, Advances in Crowd Counting and Density Estimation Using Convolutional Neural Networks, International Journal of Intelligent Systems and Applications in Engineering, Volume 12, Issue no. 6s (2024) Pages 707–719

10. Kshirsagar, P.R., Upreti, K., Kushwah, V.S. et al. Prediction and modeling of mechanical properties of concrete modified with ceramic waste using artificial neural network and regression model. SIViP 18 (Suppl 1), 183–197 (2024). https://doi.org/10.1007/s11760-024-03142-z

11. JL Bangare, N Kittad, S Hundekari, NP Sable, ST Shirkande, TA Dhaigude,The intersection of technology and public health: opportunities and challenges,2023, South East Eur J Public Health

12. Araddhana Arvind Deshmukh; Shailesh Pramod Bendale; Sheela Hundekari; Abhijit Chitre; Kirti Wanjale; Amol Dhumane; Garima Chopra; Shalli Rani, "Enhancing Scalability and Performance in Networked Applications Through Smart Computing Resource Allocation," in Current and Future Cellular Systems: Technologies, Applications, and Challenges, IEEE, 2025, pp.227-250, doi: 10.1002/9781394256075.ch12

13. K. Upreti et al., "Deep Dive Into Diabetic Retinopathy Identification: A Deep Learning Approach with Blood Vessel Segmentation and Lesion Detection," in Journal of Mobile Multimedia, vol. 20, no. 2, pp. 495-523, March 2024, doi: 10.13052/jmm1550-4646.20210.

14. S. T. Siddiqui, H. Khan, M. I. Alam, K. Upreti, S. Panwar and S. Hundekari, "A Systematic Review of the Future of Education in Perspective of Block Chain," in Journal of Mobile Multimedia, vol. 19, no. 5, pp. 1221-1254, September 2023, doi: 10.13052/jmm1550-4646.1955.

15. R. Praveen, S. Hundekari, P. Parida, T. Mittal, A. Sehgal and M. Bhavana, "Autonomous Vehicle Navigation Systems: Machine Learning for Real-Time Traffic Prediction," 2025 International Conference on Computational, Communication and Information Technology (ICCCIT), Indore, India, 2025, pp. 809-813, doi: 10.1109/ICCCIT62592.2025.10927797

16. S. Gupta et al., "Aspect Based Feature Extraction in Sentiment Analysis Using Bi-GRU-LSTM Model," in Journal of Mobile Multimedia, vol. 20, no. 4, pp. 935-960, July 2024, doi: 10.13052/jmm1550-4646.2048

17. P. William, G. Sharma, K. Kapil, P. Srivastava, A. Shrivastava and R. Kumar, "Automation Techniques Using AI Based Cloud Computing and Blockchain for Business Management," 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM), Dubai, United Arab Emirates, 2023, pp. 1-6, doi:10.1109/ICCAKM58659.2023.10449534.

18. A. Rana, A. Reddy, A. Shrivastava, D. Verma, M. S. Ansari and D. Singh, "Secure and Smart Healthcare System using IoT and Deep Learning Models," 2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS), Tashkent, Uzbekistan, 2022, pp. 915-922, doi: 10.1109/ICTACS56270.2022.9988676.

19. Neha Sharma, Mukesh Soni, Sumit Kumar, Rajeev Kumar, Anurag Shrivastava, Supervised Machine Learning Method for Ontology-based Financial Decisions in the Stock Market, ACM Transactions on Asian and Low-Resource Language InformationProcessing, Volume 22, Issue 5, Article No.: 139, Pages 1 – 24, https://doi.org/10.1145/3554733

20. Sandeep Gupta, S.V.N. Sreenivasu, Kuldeep Chouhan, Anurag Shrivastava, Bharti Sahu, Ravindra Manohar Potdar, Novel Face Mask Detection Technique using Machine Learning to control COVID’19 pandemic, Materials Today: Proceedings, Volume 80, Part 3, 2023, Pages 3714-3718, ISSN 2214-7853, https://doi.org/10.1016/j.matpr.2021.07.368.

21. Shrivastava, A., Haripriya, D., Borole, Y.D. et al. High-performance FPGA based secured hardware model for IoT devices. Int J Syst Assur Eng Manag 13 (Suppl 1), 736–741 (2022). https://doi.org/10.1007/s13198-021-01605-x

22. A. Banik, J. Ranga, A. Shrivastava, S. R. Kabat, A. V. G. A. Marthanda and S. Hemavathi, "Novel Energy-Efficient Hybrid Green Energy Scheme for Future Sustainability," 2021 International Conference on Technological Advancements and Innovations (ICTAI), Tashkent, Uzbekistan, 2021, pp. 428-433, doi: 10.1109/ICTAI53825.2021.9673391.

23. K. Chouhan, A. Singh, A. Shrivastava, S. Agrawal, B. D. Shukla and P. S. Tomar, "Structural Support Vector Machine for Speech Recognition Classification with CNN Approach," 2021 9th International Conference on Cyber and IT Service Management (CITSM), Bengkulu, Indonesia, 2021, pp. 1-7, doi: 10.1109/CITSM52892.2021.9588918.

24. Pratik Gite, Anurag Shrivastava, K. Murali Krishna, G.H. Kusumadevi, R. Dilip, Ravindra Manohar Potdar, Under water motion tracking and monitoring using wireless sensor network and Machine learning, Materials Today: Proceedings, Volume 80, Part 3, 2023, Pages 3511-3516, ISSN 2214-7853, https://doi.org/10.1016/j.matpr.2021.07.283.

25. A. Suresh Kumar, S. Jerald Nirmal Kumar, Subhash Chandra Gupta, Anurag Shrivastava, Keshav Kumar, Rituraj Jain, IoT Communication for Grid-Tie Matrix Converter with Power Factor Control Using the Adaptive Fuzzy Sliding (AFS) Method, Scientific Programming, Volume, 2022, Issue 1, Pages- 5649363, Hindawi, https://doi.org/10.1155/2022/5649363

26. A. K. Singh, A. Shrivastava and G. S. Tomar, "Design and Implementation of High Performance AHB Reconfigurable Arbiter for Onchip Bus Architecture," 2011 International Conference on Communication Systems and Network Technologies, Katra, India, 2011, pp. 455-459, doi: 10.1109/CSNT.2011.99.

27. Dr. Swapnil B. Mohod, Ketki R. Ingole, Dr. Chethana C, Dr. RVS Praveen, A. Deepak, Mrs B. Sukshma, Dr. Anurag Shrivastava. Using Convolutional Neural Networks for Accurate Medical Image Analysis", 3819-3829, https://doi.org/10.52783/fhi.351

28. Dr. Mohammad Ahmar Khan, Dr. Shanthi Kumaraguru, Dr. RVS Praveen, Narender Chinthamu, Dr Rashel Sarkar, Nilakshi Deka, Dr. Anurag Shrivastava, "Exploring the Role of Artificial Intelligence in Personalized Healthcare: From Predictive Diagnostics to Tailored Treatment Plans", 2786-2798, https://doi.org/10.52783/fhi.262

29. Dr. RVS Praveen, Dr. Anurag Shrivastava, Rayudu Prasanthi, Kukkala Hima Bindu, K Jayaram Kumar, Kanchan Yadav, "Optimizing Pest Detection And Management In Precision Agriculture Through Deep Learning Approaches", Vol. 44 No. 3 (2024): LIB PRO. 44(3), JUL-DEC 2024 (Published: 31-07-2024), https://doi.org/10.48165/bapas.2024.44.2.1

30. Ashish Jain, Dr. RVS Praveen, Vinayak Musale, Narender Chinthamu, Yogendra Kumar, Dr. B V RamaKrishna, Dr. Anurag Shrivastava, Quantum Computing, and Its Implications for Cryptography: Assessing the Security and Efficiency of Quantum Algorithms, Vol. 44 No. 3 (2024): LIB PRO. 44(3), JUL-DEC 2024), https://doi.org/10.48165/bapas.2024.44.2.1

31. P. Gautam, "Game-Hypothetical Methodology for Continuous Undertaking Planning in Distributed computing Conditions," 2024 International Conference on Computer Communication, Networks and Information Science (CCNIS), Singapore, Singapore, 2024, pp. 92-97, doi: 10.1109/CCNIS64984.2024.00018.

32. P. Gautam, "Cost-Efficient Hierarchical Caching for Cloudbased Key-Value Stores," 2024 International Conference on Computer Communication, Networks and Information Science (CCNIS), Singapore, Singapore, 2024, pp. 165-178, doi: 10.1109/CCNIS64984.2024.00019.

33. Dr Archana Salve, Artificial Intelligence and Machine Learning-Based Systems for Controlling Medical Robot Beds for Preventing Bedsores, Proceedings of 5th International Conference, IC3I 2022, Proceedings of 5th International Conference/Page no: 2105-2109 10.1109/IC3I56241.2022.10073403 March 2022

34. Dr Archana Salve, A Comparative Study of Developing Managerial Skills through Management Education among Management Graduates from Selected Institutes (Conference Paper) Journal of Electrochemical Society, Electrochemical Society Transactions Volume 107/ Issue 1/Page no :3027-3034/ April 2022

35. Dr. Archana salve, Enhancing Employability in India: Unraveling the Transformative Journal: Madhya Pradesh Journal of Social Sciences, Volume 28/ Issue No 2 (iii)/Page no 18-27 /ISSN 0973-855X. July 2023

36. Prem Kumar Sholapurapu, Quantum-Resistant Cryptographic Mechanisms for AI-Powered IoT Financial Systems, 2023,13,5, https://eelet.org.uk/index.php/journal/article/view/3028

37. Prem Kumar Sholapurapu, AI-Driven Financial Forecasting: Enhancing Predictive Accuracy in Volatile Markets, 2025, 15, 2, https://eelet.org.uk/index.php/journal/article/view/2955

38. Prem Kumar Sholapurapu, Ai-based financial risk assessment tools in project planning and execution, 2024,14,1, https://eelet.org.uk/index.php/journal/article/view/3001

39. Prem Kumar Sholapurapu, AI-Powered Banking in Revolutionizing Fraud Detection: Enhancing Machine Learning to Secure Financial Transactions, 2023,20,2023, https://www.seejph.com/index.php/seejph/article/view/6162

40. Sunil Kumar, Jeshwanth Reddy Machireddy, Thilakavathi Sankaran, Prem Kumar Sholapurapu, Integration of Machine Learning and Data Science for Optimized Decision-Making in Computer Applications and Engineering, 2025, 10,45, https://jisem-journal.com/index.php/journal/article/view/8990

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Published

26-06-2025

How to Cite

Praveen, R. V. S., Vemuri, H. K., Peri, S. S. S. R. G., Sista, S., Saxena, V., & Saxena, P. (2025). Rise of blockchain and its synergy with AI/ML in transforming financial services. The International Tax Journal, 52(3), 1105–1122. Retrieved from https://internationaltaxjournal.online/index.php/itj/article/view/132

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