Academic Journal
AIOps in Action: Streamlining IT Operations Through Artificial Intelligence
| Τίτλος: | AIOps in Action: Streamlining IT Operations Through Artificial Intelligence |
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| Συγγραφείς: | Meccy Joy, Srinivasan Venkataramanan |
| Έτος έκδοσης: | 2025 |
| Θεματικοί όροι: | 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 |
| Περιγραφή: | 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. |
| Τύπος εγγράφου: | article in journal/newspaper |
| Γλώσσα: | 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 |
| Διαθεσιμότητα: | 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 |
| Αριθμός Καταχώρησης: | edsbas.67E34AC7 |
| Βάση Δεδομένων: | BASE |
| DOI: | 10.6084/m9.figshare.29094962.v1 |
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