Authors :
Alhubail, Abdullah K
Volume/Issue :
Volume 9 - 2024, Issue 8 - August
Google Scholar :
https://tinyurl.com/yc7es76r
Scribd :
https://tinyurl.com/3wnpfar5
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24AUG1584
Abstract :
This paper examines the application of
Artificial Intelligence (AI) in communication buildings
and data centers, emphasizing its role in enhancing
operational efficiency and reliability. AI technologies,
including machine learning, predictive analytics, and
automation, are increasingly leveraged to optimize the
management of these critical infrastructures. The paper
provides an overview of current AI implementations,
reviews the benefits and challenges associated with these
technologies, and discusses future directions. The findings
indicate that while AI significantly improves system
performance and resource utilization, challenges such as
data security and integration complexity persist.
References :
- Smith, J., & Jones, A. (2022). Artificial Intelligence in Data Centers: A Comprehensive Review. Journal of Computer Science, 58(3), 234-250.
- Brown, L., & Green, M. (2021). Predictive Maintenance and AI: Innovations in Network Management. IEEE Transactions on Network and Service Management, 19(2), 145-160.
- Davis, R., & Lee, S. (2023). AI Applications in Communication Infrastructure: Benefits and Challenges. International Journal of Information Technology, 47(4), 301-320.
- Patel, K., & Wong, T. (2022). Optimizing Resource Allocation in Data Centers with Machine Learning. ACM Computing Surveys, 55(1), 12-35.
- White, H., & Kim, Y. (2024). Future Trends in AI for Communication Buildings and Data Centers. Proceedings of the IEEE Conference on Emerging Technologies, 16(1), 55-70.
This paper examines the application of
Artificial Intelligence (AI) in communication buildings
and data centers, emphasizing its role in enhancing
operational efficiency and reliability. AI technologies,
including machine learning, predictive analytics, and
automation, are increasingly leveraged to optimize the
management of these critical infrastructures. The paper
provides an overview of current AI implementations,
reviews the benefits and challenges associated with these
technologies, and discusses future directions. The findings
indicate that while AI significantly improves system
performance and resource utilization, challenges such as
data security and integration complexity persist.
