Abstract: In today's fast-paced digital landscape, banking applications have evolved into indispensable tools for delivering essential financial services to customers. The relentless progression of technology has propelled a demand for resilient and optimized mechanisms to handle the extensive influx of data stemming from these applications. FileNet, a prominent enterprise content management (ECM) platform developed by IBM, has surfaced as a practical and potent remedy tailored to the banking industry's unique needs. By seamlessly amalgamating into the operational framework, FileNet holds the promise of refining processes, heightening protective measures, and elevating customer interactions.
This scholarly exploration delves comprehensively into the potential advantages entailed by the assimilation of FileNet technology within banking applications. It investigates the multifaceted impact of this integration, specifically in terms of augmenting operational efficiency and fortifying security measures. Additionally, this research extends its purview to provide pragmatic recommendations for the seamless and successful adoption of FileNet. By bridging theoretical insights with practical considerations, this paper serves as an illuminating guide for banking institutions seeking to optimize their technological infrastructure, ensuring streamlined operations, safeguarded data, and enriched customer engagement.
Keywords: FileNet, Content management, Insurance and Banking, AI, Block chain.
Works Cited:
Ravikiran Kandepu "Leveraging FileNet Technology for Enhanced Efficiency and Security in Banking and Insurance Applications and its future with Artificial Intelligence (AI) and Machine Learning", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 8, pp. 20-26, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.12803
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DOI:
10.17148/IJARCCE.2023.12803
