ARTIFICIAL INTELLIGENCE INTEGRATION IN DATA CENTERS: A FRAMEWORK FOR ENHANCED OPERATIONAL EFFICIENCY AND SUSTAINABILITY

efficiency, sustainability, and regulatory compliance.The article examines the implementation of AI-driven solutions across critical operational domains, including energy consumption forecasting, building management systems, and predictive maintenance protocols.Through systematic review and analysis, the article demonstrates how AI technologies enhance equipment reliability, optimize energy utilization, and ensure regulatory adherence while reducing operational costs and environmental impact.The article highlights the synergistic relationship between AIpowered systems and traditional Data Center infrastructure, revealing significant improvements in operational metrics and sustainability indicators.The article suggests that the strategic implementation of AI in Data Center operations not only addresses current operational challenges but also establishes a framework for future-ready infrastructure development.This article contributes to the growing body of knowledge on intelligent Data Center management and provides valuable insights for practitioners and researchers in the field of digital infrastructure optimization.

Authors

Publication Details

Journal
INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING & TECHNOLOGY
Published
2025-02-20
DOI
https://doi.org/10.34218/ijaret_16_01_009
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

ARTIFICIAL INTELLIGENCE INTEGRATION IN DATA CENTERS: A FRAMEWORK FOR ENHANCED OPERATIONAL EFFICIENCY AND SUSTAINABILITY

Venkata Sampath Kumar Mutharaju
INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING & TECHNOLOGY
Big Data and Business Intelligence
article

ARTIFICIAL INTELLIGENCE INTEGRATION IN DATA CENTERS: A FRAMEWORK FOR ENHANCED OPERATIONAL EFFICIENCY AND SUSTAINABILITY

Venkata Sampath Kumar Mutharaju
article en

Abstract

efficiency, sustainability, and regulatory compliance.The article examines the implementation of AI-driven solutions across critical operational domains, including energy consumption forecasting, building management systems, and predictive maintenance protocols.Through systematic review and analysis, the article demonstrates how AI technologies enhance equipment reliability, optimize energy utilization, and ensure regulatory adherence while reducing operational costs and environmental impact.The article highlights the synergistic relationship between AIpowered systems and traditional Data Center infrastructure, revealing significant improvements in operational metrics and sustainability indicators.The article suggests that the strategic implementation of AI in Data Center operations not only addresses current operational challenges but also establishes a framework for future-ready infrastructure development.This article contributes to the growing body of knowledge on intelligent Data Center management and provides valuable insights for practitioners and researchers in the field of digital infrastructure optimization.

INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING & TECHNOLOGYVol. 16(1)
Industry, innovation and infrastructure
Openalex Percentile: Top 96%
Big Data and Business Intelligence
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ARTIFICIAL INTELLIGENCE INTEGRATION IN DATA CENTERS: A FRAMEWORK FOR ENHANCED OPERATIONAL EFFICIENCY AND SUSTAINABILITY — Venkata Sampath Kumar Mutharaju · INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING & TECHNOLOGY (2025) | TGRS Research Map | TGRS