Playbook
How can I enable closed-loop anomaly detection and resolution using the TM Forum CLADRA Framework?
Playbook Summary:
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.
Take the CLADRA Masterclass: Implementing Architecture: Making zero touch operations a reality
This class introduces you to the AI closed Loops Reference Architecture as well as process flows around key use cases, including alert correlation for operations, systems performance prediction and traffic flow optimization.
After taking this class you will understand how AI-Driven closed-loop anomaly detection and resolution can transform your operations, enabling you to deliver 5G digital services.
Masterclass: Implementing Architecture: Making zero touch operations a reality
Understand the various types of closed loop anomaly detection methods
Download the AI-Closed Loop Automation, Anomaly Detection and Resolution Guide to understand the rationale for choosing the ODDA method which is at the heart of our architecture.
IG1219: AI Closed Loop Automation – Anomaly Detection and Resolution v2.1.0
Implement the CLADRA Framework
Implement the CLADRA Framework standardizes and speed up your AI-Driven closed-loop anomaly detection and resolution solutions in your network.
TR284: AI Closed Loop Automation Implementation Architectures v3.1.0
Learn from the members of TM Forum’s Closed-loop Anomaly Detection and Resolution Automation project
Read insight articles by authors: Tayeb Ben Meriem, Senior Standards Manager, Orange Emmanuel Otchere, Chief Architect, Huawei; Amandeep Singh, Technology Architect, IBM; Sharath Prasad, Data Scientist IBM; Utpal Mangla, VP & Senior Partner, IBM.
Handling data and AI models when closing the loop
CSPs can strengthen their networks with closed-loop management
Choosing a closed loop pattern and logical architecture
Understand the data sources, model algorithms, model testing and model validation references and activities
Read about the four main Anomaly Management Closed Loop Processes – Event/Data Telemetry Collection, Anomaly Detection/Diagnosis/Isolation, Anomaly Correction and Aggregation and Anomaly Recovery for an assortment of use cases.
TR284 AI Closed Loop Automation Implementation Architectures v3.1.0
Ensure you close all of your business process gaps when deploying CLADRA
Extend your business processes (eTOM) for lifecycle management, operational readiness and support, and assurance across all of the vertical in eTOM (market, customer, product, service, resource etc.) and ensure you close all of your business process gaps when deploying CLADRA.
IG1219B: Anomaly Management Business Process Framework V1.1.0
TM Forum Open APIs development to support the CLADRA framework
Understand what new TM Forum Open APIs need to be developed to support the implementation of the CLADRA framework. This work identifies, describes and provides relevant examples of APIS that need to be built to support the CLADRA framework.
TR284C AI Closed Loop Automation APIs v1.1.0
Join us
Get involved and join the AI closed loop automation project where team members work on CLADRA framework assets to contribute to the standards and best practice in this area. Make sure you are at the forefront of thought leadership in this exciting area and accelerate your automation plans.
Apply from the members' projects area
