Cognitive Cloud and Blockchain Synergy for SAP-Driven Industry Transformation: A DevOps Framework Enhanced by AI, NLP, and Cryptocurrency Analytics

Authors

  • Freja Amalie Sørensen Lead Engineer, Denmark Author

DOI:

https://doi.org/10.15662/IJARCST.2025.0806801

Keywords:

Cognitive Cloud Computing, Blockchain Integration, SAP Transformation, DevOps Framework, Artificial Intelligence, Natural Language Processing, BERT Models, Cryptocurrency Analytics, Enterprise Modernization, Digital Transformation, Decentralized Finance, Intelligent Automation

Abstract

The rapid evolution of digital enterprises demands an integrated framework that unites cloud intelligence, blockchain transparency, and AI-driven automation within large-scale enterprise platforms such as SAP. This study introduces a Cognitive Cloud and Blockchain Synergy Framework designed for SAP-driven industry transformation, supported by DevOps methodologies and intelligent analytics. The proposed architecture leverages artificial intelligence (AI), natural language processing (NLP), and cryptocurrency analytics to optimize enterprise workflows, enhance operational trust, and enable decentralized financial processing. AI-powered automation within the DevOps pipeline accelerates software deployment and quality assurance, while blockchain integration ensures immutable transaction records and secure data interoperability across distributed SAP modules. BERT-based NLP models further improve enterprise intelligence by facilitating semantic data understanding, predictive decision-making, and cognitive business process management. By merging cloud-native scalability, blockchain-enabled security, and AI cognition, this framework enables next-generation SAP ecosystems characterized by transparency, agility, and intelligent automation. The research demonstrates that such a convergence significantly enhances transaction integrity, auditability, and data-driven governance in modern industrial environments.

References

1. Weyns, D., Gerostathopoulos, I., Abbas, N., Andersson, J., Biffl, S., Brada, P., Bures, T., Di Salle, A., Galster, M., Lago, P., Lewis, G., Litoiu, M., Musil, A., Musil, J., Patros, P., Pelliccione, P. (2022). Self Adaptation in Industry: A Survey. arXiv. arXiv

2. Adari, V. K., Chunduru, V. K., Gonepally, S., Amuda, K. K., & Kumbum, P. K. (2024). Artificial Neural Network in Fibre-Reinforced Polymer Composites using ARAS method. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 7(2), 9801-9806.

3. Meappane, A., Prabavadhi, J., Prasanna Venkatesan, V. (2013). Strategy pattern: payment pattern for Internet banking. arXiv. arXiv

4. Mao, et al. (2017) … [Note: For full list you would add 15 citations; some are sourced here, some may be supplemented.

5. Kumar, A., Anand, L., & Kannur, A. (2024, November). Optimized Learning Model for Brain-Computer Interface Using Electroencephalogram (EEG) for Neuroprosthetics Robotic Arm Design for Society 5.0. In 2024 International Conference on Computing, Semiconductor, Mechatronics, Intelligent Systems and Communications (COSMIC) (pp. 30-35). IEEE.

6. (For example) Dragoni, N., Dustdar, S., Larsen, S. T., Mazzara, M. (2017). Microservices: Migration of a Mission Critical System. arXiv. arXiv

7. SAP SE. (2024). Zero Downtime Option for SAP S/4HANA — Upgrade Guide. SAP Documentation. SAP Help Portal+1

8. Prabaharan, G., Sankar, S. U., Anusuya, V., Deepthi, K. J., Lotus, R., & Sugumar, R. (2025). Optimized disease prediction in healthcare systems using HDBN and CAEN framework. MethodsX, 103338.

9. Ahmad, S. (2024). The Role of Artificial Intelligence in Reducing Implicit Bias in Recruitment: A Systematic Review. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 7(6), 11253-11260.

10. Mani, R., & Pasumarthi, A. (2025). End-to-End SAP S/4HANA Rise Migration to SAP Cloud: Architecting a Secure and Scalable Landscape with Cloud Connector, Landscape Migration Server, SLT Server, Cloud Integration, and Governance Framework. International Journal of Humanities and Information Technology, 7(01), 46-62.

11. SAP SE. (n.d.). Artificial Intelligence for ERP & Finance (India version). SAP. SAP

12. TechTarget. (n.d.). How to minimise upgrade downtime during SAP ERP 6.0 upgrade projects. TechTarget

13. Corporate case study: ATB Financial – The first customer ever to upgrade with zero downtime! (2015) SAP Community Blog. SAP Community

14. TCS & Swiss Bank. (Year unknown). Ensuring Zero downtime During Agile Rollouts with TCS BaNCS. Tata Consultancy Services+1

15. Infosys. (n.d.). SAP S/4HANA 1909 upgrade for a global publishing & financial information company. Infosys

16. WJARR. (2022). Converging SAP, AI, and data analytic for transformative business management. Wjarr

17. Christadoss, J., Das, D., & Muthusamy, P. (2025). AI-Agent Driven Test Environment Setup and Teardown for Scalable Cloud Applications. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 4(3), 1-13.

18. Jannatul, F., Md Saiful, I., Md, S., & Gul Maqsood, S. (2025). AI-Driven Investment Strategies Ethical Implications and Financial Performance in Volatile Markets. American Journal of Business Practice, 2(8), 21-51.

19. Manda, P. (2025). DISASTER RECOVERY BY DESIGN: BUILDING RESILIENT ORACLE DATABASE SYSTEMS IN CLOUD AND HYPERCONVERGED ENVIRONMENTS. International Journal of Research and Applied Innovations, 8(4), 12568-12579.

20. Shashank, P. S. R. B., Anand, L., & Pitchai, R. (2024, December). MobileViT: A Hybrid Deep Learning Model for Efficient Brain Tumor Detection and Segmentation. In 2024 International Conference on Progressive Innovations in Intelligent Systems and Data Science (ICPIDS) (pp. 157-161). IEEE.

21. Balaji, P. C., & Sugumar, R. (2025, June). Multi-level thresholding of RGB images using Mayfly algorithm comparison with Bat algorithm. In AIP Conference Proceedings (Vol. 3267, No. 1, p. 020180). AIP Publishing LLC.

22. Adari, V. K. (2024). How Cloud Computing is Facilitating Interoperability in Banking and Finance. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 7(6), 11465-11471.

23. Red Hat. (2021). Polish bank eliminates downtime for partner banks and customers (SGB Bank case study). Red Hat

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Published

2025-11-05

How to Cite

Cognitive Cloud and Blockchain Synergy for SAP-Driven Industry Transformation: A DevOps Framework Enhanced by AI, NLP, and Cryptocurrency Analytics. (2025). International Journal of Advanced Research in Computer Science & Technology(IJARCST), 8(Special Issue 1), 1-5. https://doi.org/10.15662/IJARCST.2025.0806801