AI-Driven Solutions for IT Resource Management
DOI:
https://doi.org/10.31033/ijemr.14.6.15-30Keywords:
IT Resource Management, Artificial Intelligence, Machine Learning, Predictive Analytics, Cloud Computing, Cost Optimization, Algorithmic Bias, ScalabilityAbstract
Effective resource management plays a vital role in such an efficient, cost-effective, and scalable infrastructure when most organizations depend on IT infrastructure. Classical approaches often break down in complex modern environments of IT. Artificial intelligence presents transformative abilities in the management of resources in IT by applying predictive analytics, automation, and optimization. This paper addresses the integrating theme of AI in IT resource management from methodologies to applications, technological frameworks, to ethical considerations. Deeper insight is provided to the AI-driven tools in resource allocation, predictive capability planning, and cost optimization on metrics and technical data. Challenges in privacy, scalability, and fairness are discussed, and future innovations comprise edge computing and self- governing IT systems.
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Copyright (c) 2024 Nikhil Annam
This work is licensed under a Creative Commons Attribution 4.0 International License.
Research Articles in 'International Journal of Engineering and Management Research' are Open Access articles published under the Creative Commons CC BY License Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/. This license allows you to share – copy and redistribute the material in any medium or format. Adapt – remix, transform, and build upon the material for any purpose, even commercially.
