Enhancing Network Fault Detection with Precision Predictive AI

Traditional methods for managing and predicting faults must be revised in today's complex network landscape. Predictive Artificial Intelligence (AI) offers a proactive solution, using advanced algorithms and machine learning to analyze vast data, detect patterns, and prevent issues before they escalate. This approach significantly enhances network reliability, reduces downtime, improves operational efficiency, and has transformative potential in network management. This white paper explores this potential, providing real-world examples and integration strategies. We also discuss its benefits and challenges, highlighting its promise for ensuring stable and resilient network operations.

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Publication Details

Journal
International Journal of Computing and Engineering
Published
2024-09-20
DOI
https://doi.org/10.47941/ijce.2257
Citations
1
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
0.35
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article

Enhancing Network Fault Detection with Precision Predictive AI

Deepthi Kallahakalu Vijay Dev
1 citations
International Journal of Computing and Engineering
Software System Performance and Reliability
0.35
article

Enhancing Network Fault Detection with Precision Predictive AI

Deepthi Kallahakalu Vijay Dev
article en
1 citations

Abstract

Traditional methods for managing and predicting faults must be revised in today's complex network landscape. Predictive Artificial Intelligence (AI) offers a proactive solution, using advanced algorithms and machine learning to analyze vast data, detect patterns, and prevent issues before they escalate. This approach significantly enhances network reliability, reduces downtime, improves operational efficiency, and has transformative potential in network management. This white paper explores this potential, providing real-world examples and integration strategies. We also discuss its benefits and challenges, highlighting its promise for ensuring stable and resilient network operations.

International Journal of Computing and EngineeringVol. 6(5)
Electronic Concepts and Engineering (United States) (US), Material Concepts (United States) (US)
Openalex Percentile: Top 39%
Software System Performance and Reliability
0.35
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