AIOps平台
在問題形成時偵測問題、在幾分鐘內找到可能的根本原因，並在業務影響之前利用受控自動化解決問題。
OpenText™ AI Operations Management 專為事件預防而打造，是一款自主式 AIOps 平台，可將我們和第三方的可觀測性資料，與涵蓋您應用程式、基礎架構和網路的動態服務模型進行關聯分析。代理式 AI 會綜合分析拓撲、事件和變更，以找出根本原因。接著，受治理的自動化便會在問題影響業務前採取行動。提供 SaaS、混合式或內部部署選項，並具備實體隔離的 AI 部署方式。
使用案例
協助 ITOps、雲端架構師與 DevOps 團隊統一 IT 數據，及早發現問題，並加速事件處理
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將 OpenText 和第三方工具生成的事件整併並正規化至單一資料儲存庫，即可完整掌握這些事件並深入洞察，讓問題能從應用程式錯誤一路追溯至其下層的網路路徑。
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使用您自己的 OpenTelemetry 收集器或我們的收集器，將已檢測應用程式的追蹤、指標和記錄導入您的儀表板和分析運作所在的同一資料層。
讓複雜的雲端環境更清晰 -
AI 驅動的相關性可將事件量減少 30—95% 並涵蓋拓撲、事件及近期變更，以識別可能原因，並附有信心分數與可追蹤的推理。
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利用學習基線偵測異常，標記延遲、記憶體洩漏及異常音量，於閾值觸發或系統崩潰前發出警示，讓團隊能在使用者察覺之前及時採取行動。
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在即時模型中視覺化服務依賴與健康狀況，以了解問題影響哪些商業服務，將資源集中於最關鍵的服務，並保護使用者體驗。
主要功能
以可觀察性、代理式 AI 及內建自動化賦能 IT 營運。
事件與績效管理
能偵測異常與已學習基線的差異，並將事件與 AI 關聯，以過濾雜訊並在問題尚未形成時即揭露，避免影響您。
發現與監控
可跨混合雲環境探索並監控應用程式、基礎架構和網路，既可自動完成，也可透過程式碼隨著新環境或應用程式一併部署。
統一可觀察性儀表板
將雲端與內部環境的效能資料整合至單一的 AIOps 儀表板中，以實現完整的 IT 可視性。
診斷 AI 代理
像工程師一樣調查拓撲、事件、變化和遙測。整個調查過程都顯示在一個螢幕上。您可以詢問它是如何找到原因，並查看背後的證據。
應用程式與流程可見性
監控應用程式的健康狀況和業務流程，以確保達成服務水準協議，並讓使用者在各項服務中享有無縫的體驗。
整合
將 OpenText AI Operations Management 與您已使用的工具連結。透過 1,000 多個跨 ITSM、雲端與監控工具的預建整合，讓您擁有單一統一的視圖—無需拆除重建。
AppDynamics
BMC
Datadog
ExtraHop
Dynatrace
Elasticsearch
IBM
Icinga
Jira
Nagios
New Relic
Nutanix
Oracle
ServiceNow
SAP
Salesforce
Riverbed
SolarWinds
Splunk
VMware
Zabbix
Zenoss加速 OpenText AI Operations Management 的價值
整合
根據您的具體需求定制 OpenText AI Operations Management 解決方案。
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探索應用程式、附加元件等，以擴充 OpenText 軟體產品的功能。
OpenText Marketplace
部署
探索適用於任何規模全球組織的可擴展和彈性部署選項。
服務
透過認證專家的指導加速數位轉型。
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透過認證專家使您的資訊管理現代化
專業服務
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將支援轉化為您的策略優勢
支援服務
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透過專家指導、託管服務等，達成商業目標
客戶成功服務
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透過專業的 IT 服務管理釋放您的內部團隊
管理服務
合作夥伴
OpenText 協助客戶找到合適的解決方案、適當的支援和適當的結果。
全球系統整合商（GSI）
這些 GSI 均已接受 OpenText 解決方案的培訓和認證，提供的服務可提升獨立解決方案的價值。
訓練
OpenText學習服務提供全面的賦能和學習計劃，加速知識和技能的提升。
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在一個地方找到所有 OpenText 的學習和認證
可觀察性與服務管理教育
高級支援
透過專業團隊，為您的複雜 IT 環境提供關鍵任務支援，從而最大化發揮 OpenText 解決方案的價值。
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獲得技術和策略專家的個人化一對一協助
高級支援
OpenText AI Operations Management resources
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AIOps, short for artificial intelligence for IT operations, is the multilayered use of AI, big data analytics, and machine learning to analyze IT operations data. It helps to intelligently identify patterns, augment routine tasks and processes, and resolve IT issues efficiently. Other names for the same concept include IT operations analytics (ITOA), advanced operational analytics, and AI for ITOM. As IT environments grow more complex and distributed across cloud and on-premises systems, AIOps has moved from an emerging concept to a core requirement for maintaining service reliability at scale.
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AIOps is essential because no human can keep up with the explosion of IT operations data. Teams struggle to prioritize issues quickly and are overwhelmed by a flood of alerts, many of which are redundant. The overload can lead to alert fatigue, causing critical issues to be ignored. As IT estates expand across multicloud and on-premises environments, the volume, velocity, and complexity of monitoring data only continues to grow, making automated, AI-driven analysis a practical necessity rather than a nice-to-have.
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AIOps improves IT service quality by cutting event noise, speeding root cause analysis, and automating remediation. As these capabilities mature, the measure of success shifts from how fast teams resolve incidents (MTTR) to how many incidents never happen at all. Organizations using AIOps report significant reductions in alarm noise and faster identification of critical issues, freeing IT teams to focus on proactive improvements instead of constant firefighting.
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An AIOps platform combines the disparate events and metrics generated by monitoring tools into a centralized data store, delivering deep insight into infrastructure and application performance across the entire IT estate. It typically includes discovery and monitoring, event correlation, root cause analysis, and automated remediation, working across hybrid and multicloud environments to give IT teams a single, unified view instead of siloed data from dozens of disconnected tools.
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An out-of-the-box AIOps platform leverages vendor expertise to ramp up your team while ensuring they have ongoing software support. Building your own requires significant investment in data science talent, infrastructure, and continuous maintenance as your IT environment evolves—resources most IT teams would rather devote to their core business. OpenText AI Operations Management gives you a proven, full-stack platform out of the box, so your team can focus on strategic priorities instead of maintaining custom tooling.
Why IT leaders are outgrowing MTTR
Incident prevention with an autonomous AIOps platform: from responding faster to responding less.
Read the blog
The case for autonomous IT operations
Why fewer fires beats faster firefighting, and how to get there.
Read the blog
What's new in OpenText AI Operations Management 26.2
See the latest features across topology, correlation, and agentic AI.
Read the blog
One Observability: the outcome, not a product
Connecting asset visibility, incident prevention, and service management.
Read the blog
The journey to the ticketless enterprise (part 1)
The first step toward IT operations where tickets are the exception.
Read the blog
Unlock the power of AI with Aviator
GenAI-powered event remediation for IT operations teams.
Read the blog
What's new in OpenText AI Operations Management 25.4
Access HyperScale observability, event correlation, and Aviator updates.
Read the blog
