NAVIGATING THE FUTURE: A COMPREHENSIVE ANALYSIS OF AI, ML, ERP, AND ORACLE INTEGRATION IN FINANCIAL DIGITAL TRANSFORMATION

Authors

  • Madhavi Godbole Digital Transformation Expert, Independent Researcher, USA Author
  • Hari Prasad Josyula Senior Product Manager, Independent Researcher, USA Author

Keywords:

Financial Digital Transformation, AI And ML Integration, ERP And Oracle Technologies, Predictive Analytics In Finance And Technological Synergies In Financial Institutions

Abstract

This study examines the integration of AI, Machine Learning (ML), Enterprise Resource Planning (ERP), and Oracle technologies in finance digital transformation. The inquiry focuses on the collaborative impact of these technologies, revealing crucial results and insights that highlight their transformational potential. The report demonstrates the interconnectedness of AI, ML, ERP, and Oracle technologies, highlighting their cumulative impact on predictive analytics, risk management, fraud detection, business process optimisation, and data synchronisation inside financial institutions. The findings of the investigation highlight the importance of these technologies in supporting data-driven decision-making, increasing operational efficiency, and boosting overall financial performance. The report also digs into new financial technology trends, offering a view into the future of AI, machine learning, ERP, and Oracle technology. It emphasises their expanding significance in transforming company models, consumer experiences, and market dynamics. The findings highlight the revolutionary influence of personalised client interactions, new business models, and collaborative industry ecosystems, which place financial institutions at the forefront of technological progress. The analysis's recommendations include technological, organisational, and cultural issues, with an emphasis on continual technological review, strategic alignment, and the development of a flexible and inventive organisational culture. The report emphasises the significance of comprehensive integration plans that capitalise on the synergies between various technologies, providing financial institutions with a road map for effective digital transformation.

References

Abdulraheem, A. S., Abdulla, A. I., & Mohammed, S. M. (2020). Enterprise resource planning systems and challenges. Technology Reports of Kansai University, 62(4), 1885-1894.

Akimova, L., Akimov, O., Maksymenko, T., Hbur, Z., & Orlova, V. (2020). Adaptive management of entrepreneurship model as a component of enterprise resource planning. Academy of Entrepreneurship Journal, 26(3), 1-8.

Akter, S., Michael, K., Uddin, M. R., McCarthy, G., & Rahman, M. (2022). Transforming business using digital innovations: The application of AI, blockchain, cloud and data analytics. Annals of Operations Research, 1-33.

Allioui, H., & Mourdi, Y. (2023). Unleashing the potential of AI: Investigating cutting-edge technologies that are transforming businesses. International Journal of Computer Engineering and Data Science (IJCEDS), 3(2), 1-12.

Azeez, K. A., Kadhim, H. K., & Kadhim, A. A. H. (2020). The role of integration between enterprise resource planning and attribute based costing for supporting economic cost management in tourism companies. African Journal of Hospitality, Tourism and Leisure, 9(2), 1-10.

Chofreh, A. G., Goni, F. A., & Klemeš, J. J. (2018). Sustainable enterprise resource planning systems implementation: A framework development. Journal of cleaner production, 198, 1345-1354.

Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., ... & Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994.

Fauzi, T. H. (2022). Impact of enterprise resource planning systems on management control systems and firm performance. Uncertain Supply Chain Management, 745-754.

Gill, S. S., Tuli, S., Xu, M., Singh, I., Singh, K. V., Lindsay, D., ... & Garraghan, P. (2019). Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges. Internet of Things, 8, 100118.

Hewavitharana, T., Nanayakkara, S., Perera, A., & Perera, J. (2019). Impact of Enterprise Resource Planning (ERP) systems to the construction industry. International Journal of Research in Electronics and Computer Engineering, 7, 887-893.

Husnain, A., Rasool, S., Saeed, A., Gill, A. Y., & Hussain, H. K. (2023). AI'S healing touch: examining machine learning's transformative effects on healthcare. Journal of World Science, 2(10), 1681-1695.

Jawad, Z. N., & Balázs, V. (2024). Machine learning-driven optimization of enterprise resource planning (ERP) systems: a comprehensive review. Beni-Suef University Journal of Basic and Applied Sciences, 13(1), 1-13.

Keresztesi, A. A. (2022). Elements of Artificial Intelligence in Integrated Information Systems. Studia Universitatis Petru Maior. Series Oeconomica, 81-90.

Kunduru, A. R. (2023). Effective Usage of Artificial Intelligence in Enterprise Resource Planning Applications. International Journal of Computer Trends and Technology, 71(4), 73-80.

Kunduru, A. R., & Kandepu, R. (2023). Data archival methodology in enterprise resource planning applications (Oracle ERP, Peoplesoft). Journal of Advances in Mathematics and Computer Science, 38(9), 115-127.

Josyula, H. P. (2024). Internet of Things-based financial data managing device in bank (Indian Patent No. 213918). Indian Patent Office.

Parate, S., Josyula, H. P., & Reddi, L. T. (2023). Digital identity verification: Transforming KYC processes in banking through advanced technology and enhanced security measures. International Research Journal of Modernization in Engineering Technology and Science, 5(9), 128-137. https://doi.org/10.56726/IRJMETS44476

Josyula, H. P., Reddi, L. T., Parate, S., & Rajagopal, A. (2024). A review on security and privacy considerations in programmable payments. International Journal of Intelligent Systems and Applications in Engineering, 12(9s), 256-263.

Josyula, H. P. (2023). Artificial intelligence device for analyzing financial data (British Patent No. 6324352). UK Intellectual Property Office.

Josyula, H. P. (2023). Unraveling the adoption drivers of fintech in India: An empirical analysis. International Journal of Computer Trends and Technology, 71(12), 49-55. https://doi.org/10.14445/22312803/IJCTT-V71I12P109

Josyula, H. P., Vishnubhotla, D., & Onyando, P. O. (2023). Is artificial intelligence an efficient technology for financial fraud risk management? International Journal of Managerial Studies and Research, 11(6), 11-16. https://doi.org/10.20431/2349-0349.1106002

Josyula, H. P. (2024). Predictive financial insights with generative AI: Unveiling future trends from historical data. Journal of Emerging Technologies and Innovative Research, 11(1), 354-360. http://doi.one/10.1729/Journal.37637

Josyula, H. P. (2023). Unraveling the adoption drivers of fintech in India: An empirical analysis. International Journal of Computer Trends and Technology, 71(12), 49-55. https://doi.org/10.14445/22312803/IJCTT-V71I12P109

Kuntum, C. (2019). Effect of implementation of enterprise resource planning system on quality of accounting information. Russian Journal of Agricultural and Socio-Economic Sciences, 87(3), 15-20.

Munthe, R. A. (2022). Benefits of Company Management Systems with Combination of ERP (Enterprise Resource Planning). Journal Research of Social, Science, Economics, and Management, 1(6), 610-620.

Murdihardjo, L., Nurjanah, Y., & Rendy, R. (2020, May). Implementing INTACS Dynamics Enterprise Resources Planning System for Financial Statements. In 2nd International Seminar on Business, Economics, Social Science and Technology (ISBEST 2019) (pp. 228-233). Atlantis Press.

Nguyen, D. C., Pathirana, P. N., Ding, M., & Seneviratne, A. (2020). Integration of blockchain and cloud of things: Architecture, applications and challenges. IEEE Communications surveys & tutorials, 22(4), 2521-2549.

Odoyo, C. O., & Ojera, P. B. (2020). Impact of top management support on accounting information system: A case of enterprise resource planning (ERP) system. Universal Journal of Management, 8(1), 12-19.

Padhi, A., Agarwal, A., Saxena, S. K., & Katoch, C. D. S. (2023). Transforming clinical virology with AI, machine learning and deep learning: a comprehensive review and outlook. VirusDisease, 34(3), 345-355.

Rizkiana, A. K., Ritchi, H., & Adrianto, Z. (2021). Critical Success Factors Enterprise Resource Planning (ERP) Implementation in Higher Education. Journal of Accounting Auditing and Business-Vol, 4(1).

Salur, M. N., & Kattar, W. K. (2021). The impact of enterprise resource planning (ERP) on the audit in the context of emerging technologies. Ekonomi Maliye İşletme Dergisi, 4(2), 115-123.

Silva, U. A. D. C. (2020). Intelligent ERPS: a guide to incorporate artificial intelligence into enterprise resource planning systems (Doctoral dissertation).

Tabesh, P. (2022). Who’s making the decisions? How managers can harness artificial intelligence and remain in charge. Journal of Business Strategy, 43(6), 373-380.

Yathiraju, N. (2022). Investigating the use of an Artificial Intelligence Model in an ERP Cloud-Based System. International Journal of Electrical, Electronics and Computers, 7(2), 1-26.

Zafary, F. (2020). Implementation of business intelligence considering the role of information systems integration and enterprise resource planning. Journal of intelligence studies in business, 1(1).

Downloads

Published

2024-02-02