Leveraging AI for Enhanced IT Infrastructure: An Examination of Automated Processes and Their Impacts

Abstract: This article examines the transformative impact of Artificial Intelligence (AI) on IT infrastructure automation, focusing on its applications in server and network monitoring, capacity planning, security management, resource allocation, software patching, and server provisioning. Through a comprehensive analysis of current industry trends, case studies, and future projections, we demonstrate how AI-driven automation significantly reduces manual labor, minimizes human errors, and allows IT personnel to focus on strategic initiatives. The article highlights the substantial benefits of this technological shift, including improved operational efficiency, enhanced security posture, and cost savings. However, it also addresses the challenges associated with AI implementation, such as initial costs, workforce adaptation, and ethical considerations. By exploring the evolving landscape of IT roles and the emergence of human-AI collaborative teams, this article provides valuable insights into the future of IT infrastructure management and its broader implications for organizational strategy in the digital age.

Authors

Institutions

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-09-30
DOI
https://doi.org/10.22214/ijraset.2024.64036
Citations
2
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
1.06
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Leveraging AI for Enhanced IT Infrastructure: An Examination of Automated Processes and Their Impacts

Anandkumar Kumaravelu
2 citations
International Journal for Research in Applied Science and Engineering Technology
Big Data and Business Intelligence
1.06
article

Leveraging AI for Enhanced IT Infrastructure: An Examination of Automated Processes and Their Impacts

Anandkumar Kumaravelu
article en
2 citations

Abstract

Abstract: This article examines the transformative impact of Artificial Intelligence (AI) on IT infrastructure automation, focusing on its applications in server and network monitoring, capacity planning, security management, resource allocation, software patching, and server provisioning. Through a comprehensive analysis of current industry trends, case studies, and future projections, we demonstrate how AI-driven automation significantly reduces manual labor, minimizes human errors, and allows IT personnel to focus on strategic initiatives. The article highlights the substantial benefits of this technological shift, including improved operational efficiency, enhanced security posture, and cost savings. However, it also addresses the challenges associated with AI implementation, such as initial costs, workforce adaptation, and ethical considerations. By exploring the evolving landscape of IT roles and the emergence of human-AI collaborative teams, this article provides valuable insights into the future of IT infrastructure management and its broader implications for organizational strategy in the digital age.

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(9)
DELL (United States) (US)
Openalex Percentile: Top 17%
Big Data and Business Intelligence
1.06
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Leveraging AI for Enhanced IT Infrastructure: An Examination of Automated Processes and Their Impacts — Anandkumar Kumaravelu · International Journal for Research in Applied Science and Engineering Technology (2024) | TGRS Research Map | TGRS