Intelligent Zero-Touch OperationNTT Network Service Systems Laboratories


    This technology enables intelligent autonomous network operations on behalf of the operator by combining multiple AI and zero-touch operation technology, which refers to total automation of tasks from including detection of failure or quality degradation until recovery.

    Background and existing issues

    Sustaining a critical social infrastructure network service requires 24/7 attention (maintenance and operation) in case of a failure. Intelligent Zero-Touch Operation seeks to reduce the base load of maintenance by allowing AI to perform complex analysis and decision making on a variety of information on behalf of operators to automate maintenance responses.

    Advantages of this technology

    • Traffic Classification and Prediction: Detects congestion in advance by classifying traffic having similar features into clusters and predicting with high accuracy complex fluctuations in traffic based on the features of each cluster
    • Automatic Failure Point Estimation: Quickly estimates and visualizes fault locations and factors by learning the relationship (rules) between network points of failure and alarms (rules)
    • SLA Driven Decision Making: Automatically determines whether or not quality degradation requires attention, and assigns priority, based on the service level agreement (SLA) to be satisfied, such as QoS and failure duration time

    Use Scenes

    • Automatic congestion detection and route optimization
    • Estimating the original failure that caused multiple alarms
    • Prioritizing multiple responses to multiple failures

    Explanatory chart


    Abbreviation of Operation Support System/Business Support System, a collection of systems that computerize tasks
    Service Level Agreement (SLA)
    In general, the level of service agreed upon between the service provider and the user. This technology considers the operator to be the service provider, and SLAs is defined as indicators that must be met as the result of the operations and maintenance (for example, user SLA or Quality of Experience (QoE) and so on, depending on the operator)

    Department in charge

    NTT Network Service Systems Laboratories - Operation Innovation Project

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