Artificial Intelligence Driven Banking and Enterprise Innovation through Secure Computing and Data Centric Systems

Sharan Anil Kumar; Sharan Anil Kumar

doi:10.15662/IJSRAT.2026.0903005

Artificial Intelligence Driven Banking and Enterprise Innovation through Secure Computing and Data Centric Systems

Sharan Anil Kumar

Paramount, Bellevue, Washington, United States

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in the banking and enterprise sectors, enabling organizations to enhance operational efficiency, improve customer experiences, and strengthen decision-making capabilities. The integration of AI-driven technologies with secure computing frameworks and data-centric systems has revolutionized traditional business models by facilitating intelligent automation, predictive analytics, fraud detection, and personalized financial services. Modern banking institutions increasingly rely on machine learning algorithms, cloud computing platforms, and big data analytics to process vast amounts of structured and unstructured data in real time. Simultaneously, secure computing mechanisms ensure the confidentiality, integrity, and availability of sensitive financial and organizational information. Data-centric systems provide a robust foundation for managing, analyzing, and utilizing enterprise data as a strategic asset for innovation and competitive advantage. This study examines the role of AI-driven banking and enterprise innovation through secure computing and data-centric architectures. It explores existing literature on intelligent financial technologies, enterprise transformation, cybersecurity frameworks, and advanced data management practices. Furthermore, the research methodology investigates the integration of AI, security mechanisms, and data-driven strategies within enterprise environments. The findings contribute to understanding how organizations can leverage emerging technologies to achieve sustainable growth, operational excellence, enhanced security, and continuous innovation in an increasingly digital and interconnected global economy

Article Information

Journal	International Journal of Science, Research and Technology
Volume (Issue)	Vol. 9 No. 3 (2026): International Journal of Science, Research and Technology (IJSRAT)
DOI	https://doi.org/10.15662/IJSRAT.2026.0903005
Pages	844-854
Published	May 13, 2026
Copyright	All rights reserved
Open Access	This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite	Sharan Anil Kumar (%2026). Artificial Intelligence Driven Banking and Enterprise Innovation through Secure Computing and Data Centric Systems. International Journal of Science, Research and Technology , Vol. 9 No. 3 (2026): International Journal of Science, Research and Technology (IJSRAT) , pp. 844-854. https://doi.org/10.15662/IJSRAT.2026.0903005

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