<b>AIOps in Action: Streamlining IT Operations Through Artificial Intelligence</b>

This article titled <b>"AIOps in Action: Streamlining IT Operations Through Artificial Intelligence"</b> explores how Artificial Intelligence (AI) and Machine Learning (ML) revolutionize IT operations by improving efficiency, decision-making, and service management. The study covers AIOps’ theoretical foundations, practical applications in sectors such as telecommunications, healthcare, and finance, and discusses challenges such as data quality, system integration, and user adoption. <b>The authors "</b><b><i>Srinivasan Venkataramanan, Meccy Joy, Mohammed Ahmed, Mabere Mark, Leeladhar Gudala, Mahammad Shaik, Ashok Kumar Pamidi Venkata, and Vinay Kumar Reddy Vangoor"</i></b> provide insights on how AIOps enhances anomaly detection, predictive maintenance, and automated root cause analysis, ultimately improving IT operational reliability and customer experience.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29094962.v1
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
0.00
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AIOps in Action: Streamlining IT Operations Through Artificial Intelligence

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Internet of Things and AI
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AIOps in Action: Streamlining IT Operations Through Artificial Intelligence

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Abstract

This article titled <b>"AIOps in Action: Streamlining IT Operations Through Artificial Intelligence"</b> explores how Artificial Intelligence (AI) and Machine Learning (ML) revolutionize IT operations by improving efficiency, decision-making, and service management. The study covers AIOps’ theoretical foundations, practical applications in sectors such as telecommunications, healthcare, and finance, and discusses challenges such as data quality, system integration, and user adoption. <b>The authors "</b><b><i>Srinivasan Venkataramanan, Meccy Joy, Mohammed Ahmed, Mabere Mark, Leeladhar Gudala, Mahammad Shaik, Ashok Kumar Pamidi Venkata, and Vinay Kumar Reddy Vangoor"</i></b> provide insights on how AIOps enhances anomaly detection, predictive maintenance, and automated root cause analysis, ultimately improving IT operational reliability and customer experience.

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