Real-Time AI-Cloud Framework for Financial Analytics in SAP-Integrated BMS using Apache Infrastructure

Authors

  • Alex Michael Johnson Independent Researcher, Wales, United Kingdom Author

DOI:

https://doi.org/10.15680/IJCTECE.2025.0806803

Keywords:

AI, Cloud Computing, Real-Time Analytics, SAP Integration, Apache Framework, Financial Management, Building Management System

Abstract

The rapid evolution of enterprise resource management demands intelligent, scalable, and real-time financial analytics solutions. This paper proposes a Real-Time AI-Cloud Framework that integrates SAP-based Building Management Systems (BMS) with Apache-powered infrastructure to enhance decision-making, performance, and operational efficiency. The framework leverages artificial intelligence for predictive and prescriptive analytics while utilizing cloud computing for dynamic scalability and real-time data processing. Apache technologies enable seamless data streaming, processing, and storage, ensuring high availability and reliability across distributed environments. The integration with SAP facilitates automated financial workflows, improved transparency, and optimized business operations. This architecture not only strengthens financial forecasting accuracy but also supports intelligent automation, risk mitigation, and adaptive learning mechanisms essential for modern digital enterprises.

References

1. Cao, L. (2021). AI in Finance: Challenges, Techniques and Opportunities. arXiv. https://doi.org/10.48550/arXiv.2107.09051

2. Konda, S. K. (2022). ENGINEERING RESILIENT INFRASTRUCTURE FOR BUILDING MANAGEMENT SYSTEMS: NETWORK RE-ARCHITECTURE AND DATABASE UPGRADE AT NESTLÉ PHX. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 5(1), 6186-6201.

3. Archana, R., & Anand, L. (2025). Residual u-net with Self-Attention based deep convolutional adaptive capsule network for liver cancer segmentation and classification. Biomedical Signal Processing and Control, 105, 107665.

4. Arulraj AM, Sugumar, R., Estimating social distance in public places for COVID-19 protocol using region CNN, Indonesian Journal of Electrical Engineering and Computer Science, 30(1), pp.414-424, April 2023

5. Christadoss, J., Yakkanti, B., & Kunju, S. S. (2023). Petabyte-Scale GDPR Deletion via A Iceberg Delete Vectors and Snapshot Expiration. European Journal of Quantum Computing and Intelligent Agents, 7, 66-100.

6. 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.

7. Poornima, G., & Anand, L. (2025). Medical image fusion model using CT and MRI images based on dual scale weighted fusion based residual attention network with encoder-decoder architecture. Biomedical Signal Processing and Control, 108, 107932.

8. Ojha, R. (2023). A Strategic Guide to SAP Modernization: Clean Core, Cloud, & Applied AI. SAPinsider. Retrieved from https://sapinsider.org/map/a‐strategic‐guide‐to‐sap‐modernization‐clean‐core‐cloud‐applied‐ai/

9. Lora, S. (2024). Transform Financial Data into Strategic Insights Using the SAP Business Technology Platform. Journal of Global Economy, Business and Finance, 6(10), 06. https://doi.org/10.53469/jgebf.2024.06(10).06

10. Mohammed, A. A., Akash, T. R., Zubair, K. M., & Khan, A. (2020). AI-driven Automation of Business rules: Implications on both Analysis and Design Processes. Journal of Computer Science and Technology Studies, 2(2), 53-74.

11. SAP. (2024). AI in Finance: Enhance Efficiency and Innovation. SAP. Retrieved from https://www.sap.com/africa/resources/ai‐in‐finance

12. Pokala, P. (2024). Artificial Intelligence (AI) and Data Science Integration In SAP S/4HANA Finance. International Journal of Advanced Research and Interdisciplinary Scientific Endeavours, 1(5), 254 262. https://doi.org/10.61359/11.2206‐2422

13. Venkata Ramana Reddy Bussu. “Databricks- Data Intelligence Platform for Advanced Data Architecture.” Volume. 9 Issue.4, April - 2024 International Journal of Innovative Science and Research Technology (IJISRT), www.ijisrt.com, ISSN - 2456-2165, PP :-108-112:-https://doi.org/10.38124/ijisrt/IJISRT24APR166.

14. Bostan, A. I., et al. (2024). Revolutionizing Finance: Insights on the Impact of Automation and SAP. Proceedings of the International Conference on Business Excellence, 18(1), 3374 3386. https://doi.org/10.2478/picbe 2024 0275

15. Kumar, A. (2024). Redefining Finance: The Influence of Artificial Intelligence (AI) and Machine Learning (ML). arXiv. https://doi.org/10.48550/arXiv.2410.15951

16. Karvannan, R. (2023). Real‑Time Prescription Management System Intake & Billing System. International Journal of Humanities and Information Technology, 5(02), 34-43.

17. Khan, M. I. (2025). MANAGING THREATS IN CLOUD COMPUTING: A CYBERSECURITY RISK MITIGATION FRAMEWORK. International Journal of Advanced Research in Computer Science, 15(5). https://www.researchgate.net/profile/Md-Imran-Khan-12/publication/396737007_MANAGING_THREATS_IN_CLOUD_COMPUTING_A_CYBERSECURITY_RISK_MITIGATION_FRAMEWORK/links/68f79392220a341aa156b531/MANAGING-THREATS-IN-CLOUD-COMPUTING-A-CYBERSECURITY-RISK-MITIGATION-FRAMEWORK.pdf

18. Archana, R., & Anand, L. (2025). Residual u-net with Self-Attention based deep convolutional adaptive capsule network for liver cancer segmentation and classification. Biomedical Signal Processing and Control, 105, 107665.

19. Bollen, J., Mao, H., & Zeng, X. (2011). Twitter mood predicts the stock market. Journal of Computational Science, 2(1), 1 8.

20. Adari, V. K. (2024). The Path to Seamless Healthcare Data Exchange: Analysis of Two Leading Interoperability Initiatives. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 7(6), 11472-11480.

21. 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.

22. Pasumarthi, A. (2022). Architecting Resilient SAP Hana Systems: A Framework for Implementation, Performance Optimization, and Lifecycle Maintenance. International Journal of Research and Applied Innovations, 5(6), 7994-8003.

23. Balaji, P. C., & Sugumar, R. (2025, April). Accurate thresholding of grayscale images using Mayfly algorithm comparison with Cuckoo search algorithm. In AIP Conference Proceedings (Vol. 3270, No. 1, p. 020114). AIP Publishing LLC.

24. Gosangi, S. R. (2023). Transforming Government Financial Infrastructure: A Scalable ERP Approach for the Digital Age. International Journal of Humanities and Information Technology, 5(01), 9-15.

25. 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.

26. Iftikhar, S., Gill, S. S., Song, C., Xu, M., Aslanpour, M. S., Toosi, A. N., … & Uhlig, S. (2022). AI Based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions. arXiv. https://doi.org/10.48550/arXiv.2212.04645

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Published

2025-11-05

How to Cite

Real-Time AI-Cloud Framework for Financial Analytics in SAP-Integrated BMS using Apache Infrastructure. (2025). International Journal of Computer Technology and Electronics Communication, 8(Special Issue 1), 12-16. https://doi.org/10.15680/IJCTECE.2025.0806803

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