AI for Information Tecchnology Operation (AIOps): A Review of IT Incident Risk Prediction

Salman Ahmed, Muskaan Singh, Brendan Doherty, E. Ramlan, Kathryn Harkin, Damien Coyle
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引用次数: 2

Abstract

The advancement of Artificial Intelligence has led to a surge in its application in Information Technology (IT) Operations, often termed Artificial Intelligence for IT Operations (AIOPS). One of the most challenging problems in AIOPS is IT Service Management (ITSM), which deals with incidents and anomalies of users, often referred to as tickets. These tickets are resolved by the IT firm support system, which plays a significant role in the company's user experiences, productivity, and profit. Recent advances have been made to automate the prediction of IT incidents and resolve them in a minimal time, utilizing AI models. In this paper, we take stock of the work in this domain and review the challenges. We also highlight the open topics that require further investigation for the advancement of the field.
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信息技术运营中的人工智能(AIOps): IT事件风险预测综述
人工智能的进步导致其在信息技术(IT)运营中的应用激增,通常被称为IT运营的人工智能(AIOPS)。AIOPS中最具挑战性的问题之一是IT服务管理(ITSM),它处理用户的事件和异常,通常称为票据。这些问题由IT公司支持系统解决,该系统在公司的用户体验、生产力和利润中起着重要作用。最近的进展是利用人工智能模型自动预测IT事件并在最短时间内解决这些事件。在本文中,我们对该领域的工作进行了盘点,并回顾了面临的挑战。我们还强调了需要进一步调查的开放主题,以促进该领域的发展。
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