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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Optimizing Infrastructure Resources with Artificial Intelligence: A Technical Analysis

Author(s) Ashok Mohan Chowdhary Jonnalagadda
Country United States
Abstract The revolutionary role of artificial intelligence in improving infrastructure resource management in
business settings is examined in this technical article. The article explores how AI-driven solutions
transform data center operations through advanced predictive analytics, intelligent workload distribution,
energy efficiency optimization, proactive defect detection, and dynamic resource allocation.
Organizations can improve system reliability, save maintenance costs, and increase operational efficiency
by utilizing automated systems and machine learning algorithms. While offering thorough best practices
and suggestions for the successful adoption of AI, it explores implementation factors, such as
technological needs and integration challenges. The article also looks at how AI infrastructure
optimization will develop in the future, highlighting new technologies, automation potential, and
sustainability factors that will influence how businesses operate in the coming years
Keywords Keywords: AI Infrastructure Optimization, Predictive Analytics Management, Energy Efficiency Automation, Resource Allocation Intelligence, Performance Monitoring Systems
Field Computer
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-11-30
Cite This Optimizing Infrastructure Resources with Artificial Intelligence: A Technical Analysis - Ashok Mohan Chowdhary Jonnalagadda - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.32063
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.32063
Short DOI https://doi.org/g8sg43
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