International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Asynchronous Cloud Computing in Financial Services: A Framework for Human-AI Collaboration

Author(s) Ramesh Kumar Pulluri
Country United States
Abstract This comprehensive article explores the integration of asynchronous cloud computing with human-AI collaboration in financial services, focusing on the synergistic relationship between technological capabilities and human expertise. The advanced analytics infrastructure, intelligent customer service platforms, and operational automation frameworks while highlighting the critical role of human oversight in these systems. It presents a detailed analysis of cloud-based decision support systems, emphasizing their impact on operational efficiency and decision-making processes. The article examines modern API management systems and FinTech integration frameworks and demonstrates how contemporary platforms facilitate seamless collaboration between automated systems and human operators. The article encompasses security considerations, strategic implementation approaches, and future technological trajectories, providing insights into the evolving landscape of financial technology. The findings reveal the transformative potential of integrated human-AI systems in enhancing service delivery, improving operational efficiency, and maintaining robust security protocols while emphasizing the importance of balanced automation and human expertise in financial services.
Keywords Keywords: Asynchronous Cloud Computing, Human-AI Collaboration, Financial Services, Decision Support Systems, API Management
Field Computer
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-12-31
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.34215
Short DOI https://doi.org/g82ggq
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E-ISSN 2582-2160
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