Artificial Intelligence for IT Operations (AIOps) is a term coined by Gartner in 2016 as an industry category for machine learning analytics technology that enhances IT operations analytics. AIOps is the acronym of "Artificial Intelligence Operations". Such operation tasks include automation, performance monitoring and event correlations among others. The goal is to enable IT transformation, receive continuous insights which provide continuous fixes and improvements via automation. This is why AIOps can be viewed as CI/CD for core IT functions.
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| - Artificial Intelligence for IT Operations (en)
- AIOps (fr)
- Inteligência artificial para operações de TI (pt)
- 智能运维 (zh)
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| - Dans le domaine de l'informatique, l'AIOps est l'acronyme anglais de Artificial Intelligence Operations Systems, ce qui signifie en français : « Intelligence Artificielle pour les Opérations informatiques ». L'entreprise Gartner est la première à énoncer le concept technique en 2017. L'idée proposée est de simplifier et d'automatiser les opérations des services informatiques en utilisant l'ensemble de l'historique de traces des systèmes à travers des applications de machine learning et l’Intelligence Artificielle afin de réduire significativement le bruit des alertes, enrichir les incidents avec du contexte et fournir en temps réel des informations aux équipes IT. (fr)
- 智能运维（AIOps，Artificial Intelligence for IT Operations）是高德纳咨询公司於2016年提出的一個概念，是指通过机器学习，自动地从海量运维数据（包括日志、业务数据、系统数据等）中进行实时或离线分析，加强IT運營分析能力。AIOps主要涉及两个方面：机器学习和大數據。 (zh)
- Artificial Intelligence for IT Operations (AIOps) is a term coined by Gartner in 2016 as an industry category for machine learning analytics technology that enhances IT operations analytics. AIOps is the acronym of "Artificial Intelligence Operations". Such operation tasks include automation, performance monitoring and event correlations among others. The goal is to enable IT transformation, receive continuous insights which provide continuous fixes and improvements via automation. This is why AIOps can be viewed as CI/CD for core IT functions. (en)
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| - Artificial Intelligence for IT Operations (AIOps) is a term coined by Gartner in 2016 as an industry category for machine learning analytics technology that enhances IT operations analytics. AIOps is the acronym of "Artificial Intelligence Operations". Such operation tasks include automation, performance monitoring and event correlations among others. There are two main aspects of an AIOps platform: machine learning and big data. In order to collect observational data and engagement data that can be found inside a big data platform and requires a shift away from sectionally segregated IT data, a holistic machine learning and analytics strategy is implemented against the combined IT data. The goal is to enable IT transformation, receive continuous insights which provide continuous fixes and improvements via automation. This is why AIOps can be viewed as CI/CD for core IT functions. Given the inherent nature of IT operations, which is closely tied to cloud deployment and the management of distributed applications, AIOps has increasingly led to the coalescence of machine learning and cloud research. (en)
- Dans le domaine de l'informatique, l'AIOps est l'acronyme anglais de Artificial Intelligence Operations Systems, ce qui signifie en français : « Intelligence Artificielle pour les Opérations informatiques ». L'entreprise Gartner est la première à énoncer le concept technique en 2017. L'idée proposée est de simplifier et d'automatiser les opérations des services informatiques en utilisant l'ensemble de l'historique de traces des systèmes à travers des applications de machine learning et l’Intelligence Artificielle afin de réduire significativement le bruit des alertes, enrichir les incidents avec du contexte et fournir en temps réel des informations aux équipes IT. (fr)
- 智能运维（AIOps，Artificial Intelligence for IT Operations）是高德纳咨询公司於2016年提出的一個概念，是指通过机器学习，自动地从海量运维数据（包括日志、业务数据、系统数据等）中进行实时或离线分析，加强IT運營分析能力。AIOps主要涉及两个方面：机器学习和大數據。 (zh)
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