International Journal For Multidisciplinary Research

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

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Collaborative Risk Management: Integrating Human Expertise with Databases

Author(s) Bharath kumar Gaddam
Country United States
Abstract This comprehensive article examines the integration of human expertise with database systems in
collaborative risk management frameworks. The article investigates the evolution of risk management
practices from traditional approaches to sophisticated digital solutions, focusing on the synergy between
human insight and technological capabilities. Through detailed article analysis of implementation
methodologies, technical infrastructures, and performance metrics, the article demonstrates how
organizations have successfully balanced automated efficiency with human judgment. The article
encompasses multiple dimensions, including database architecture, human-system integration, workflow
design, and performance monitoring systems. The findings reveal significant improvements in risk
assessment accuracy, decision-making efficiency, and operational performance through the
implementation of collaborative frameworks. The article particularly emphasizes the crucial role of
human expertise in complementing automated systems, especially in complex, unprecedented scenarios
where contextual understanding becomes paramount. By examining both technical and organizational
aspects, this article provides a comprehensive framework for understanding and implementing effective
collaborative risk management systems in financial institutions.
Keywords Collaborative Risk Management, Human-Database Integration, Automated Decision Support, Real-time Risk Assessment, Risk Management Systems Integration
Field Computer
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-12-04
Cite This Collaborative Risk Management: Integrating Human Expertise with Databases - Bharath kumar Gaddam - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.32156
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.32156
Short DOI https://doi.org/g8tv8r
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