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

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.
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Enterprise AI and Automation Integration: A Technical Framework for Modern Business Intelligence Systems

Author(s) Ravi Teja Gurram
Country United States
Abstract This technical article comprehensively examines enterprise-level AI and automation integration
frameworks within modern Business Intelligence systems. The article explores the evolution from
traditional BI platforms to sophisticated AI-driven analytics environments, detailing the transformative
impact on data processing, analysis, and decision-making capabilities. The article investigates advanced
analytics implementation strategies, automated data management frameworks, and decision support
systems while providing detailed insights into technical architectures and deployment methodologies. The
article analyzes how machine learning algorithms, real-time analytics processing, and sophisticated data
integration mechanisms work together to create effective business intelligence ecosystems. By examining
multiple implementation scenarios and industry applications, this article highlights the critical role of
emerging technologies in advancing business analytics capabilities. The article also addresses essential
aspects of system integration, performance optimization, and organizational change management,
providing valuable insights for organizations seeking to enhance their BI capabilities through
technological innovation.
Keywords Enterprise AI Integration, Business Intelligence Systems, Real-time Analytics Architecture, Automated Data Management, Implementation Strategy Framework
Field Computer
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-11-22
Cite This Enterprise AI and Automation Integration: A Technical Framework for Modern Business Intelligence Systems - Ravi Teja Gurram - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.30952
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.30952
Short DOI https://doi.org/
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