Optimizing Infrastructure Resources with Artificial Intelligence: A Technical Analysis

Author(s)	Ashok Mohan Chowdhary Jonnalag
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
DOI	https://doi.org/10.36948/ijfmr.2024.v06i06.32063
Short DOI	https://doi.org/g8sg43

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International Journal For Multidisciplinary Research