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Closed-loop Anomaly Detection & Resolution Automation

Defining a reference architecture and related collateral to enable CSP’s to transform network operations by using AI driven closed-loop automation to detect anomalies, determine resolution and implement the required changes to the network within a continuous highly automated framework.

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Topics

  • Themes
    • Data & AI
    • Autonomous Operations
    • Cloud Native IT & Networks
    • Ecosystems
    • People & Planet
  • Business Architecture
  • Business Assurance
  • Digital Transformation & Maturity
  • Face of Digital Leadership
  • IoE & Digital Ecosystems

Implementing Architecture: Making zero touch operations a reality

Closed-loop Anomaly Detection and Resolution Automation (CLADRA) refers to a TM Forum framework that contains a reference architecture and related collateral to enable communications service providers (CSPs) to transform network operations by using AI driven closed-loop automation to detect anomalies, determine resolution and implement the required changes to the network within a continuous highly automated framework.


Toolkits for implementing closed-loop automation:

AI Closed-Loop Automation & Anomaly Detection & Resolution

Use this toolkit to transform engineering and network operations into a predictive and automated operations model and resolve network challenges.

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AI Operations (AIOps)

These assets will help identify the gaps between traditional operations and AI operations and a new operations process framework. It helps communications service providers (CSPs) to re-engineer their processes accordingly to safely and securely implement and manage AI.

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Get Involved

Join the work of the AI Closed Loop Automation project workstream

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Discuss all aspects of automation with your industry peers

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Topics

  • Themes
    • Data & AI
    • Autonomous Operations
    • Cloud Native IT & Networks
    • Ecosystems
    • People & Planet
  • Business Architecture
  • Business Assurance
  • Digital Transformation & Maturity
  • Face of Digital Leadership
  • IoE & Digital Ecosystems

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