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Treffer: AIOps in Action: Streamlining IT Operations Through Artificial Intelligence

Title:
AIOps in Action: Streamlining IT Operations Through Artificial Intelligence
Authors:
Meccy Joy, Srinivasan Venkataramanan
Publication Year:
2025
Subject Terms:
Technology management, Marketing technology, Financial economics, Data communications, Data and information privacy, Data engineering and data science, Information security management, Information systems education, Informetrics, Adversarial machine learning, data quality control software, AIOps, anomaly detection applications, Artificial intelligence -- Computer programs
Document Type:
Fachzeitschrift article in journal/newspaper
Language:
unknown
Relation:
https://figshare.com/articles/journal_contribution/_b_AIOps_in_Action_Streamlining_IT_Operations_Through_Artificial_Intelligence_b_/29094962
DOI:
10.6084/m9.figshare.29094962.v1
Availability:
https://doi.org/10.6084/m9.figshare.29094962.v1
https://figshare.com/articles/journal_contribution/_b_AIOps_in_Action_Streamlining_IT_Operations_Through_Artificial_Intelligence_b_/29094962
Rights:
CC BY 4.0
Accession Number:
edsbas.63B31E9F
Database:
BASE

Weitere Informationen

This article titled "AIOps in Action: Streamlining IT Operations Through Artificial Intelligence" 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. The authors " Srinivasan Venkataramanan, Meccy Joy, Mohammed Ahmed, Mabere Mark, Leeladhar Gudala, Mahammad Shaik, Ashok Kumar Pamidi Venkata, and Vinay Kumar Reddy Vangoor" provide insights on how AIOps enhances anomaly detection, predictive maintenance, and automated root cause analysis, ultimately improving IT operational reliability and customer experience.