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Huawei wins the Most Significant Disruptor Vendor award for Layer 123 Network Automation Industry

Shenzhen, China – WEBWIRE – Friday, May 13, 2022 At the Layer123 World Congress 2022, Huawei won the Most Significant Disruptor Vendor Award in recognition of Huawei’s efforts in developing a revolutionary intelligent network product and advancing the digital transformation of global carrier networks. iMaster Network AI Engine (NAIE) enables autonomous driving network (ADN), as…

Shenzhen, China – WEBWIRE

At the Layer123 World Congress 2022, Huawei won the Most Significant Disruptor Vendor Award in recognition of Huaweis efforts in developing a revolutionary intelligent network product and advancing the digital transformation of global carrier networks.

iMaster Network AI Engine is able to enable autonomous driving network (ADN), and also explore, research and implement intelligent algorithms, application engineering and deployment modes in an all round way, with a particular focus on telecom situations. iMaster NAIE is a combination of innovative technologies and reflects the unique characteristics of the telecom industry. It offers a wide range of distinct capabilities including secondary model development, retraining and intelligent asset management. These capabilities allow the telecom industry overcome many challenges such as precision deterioration and difficulty in generalizing models. iMaster NAIE promotes intelligent applications across multiple carrier networks and facilitates the creation of intelligent networks.

Local Secondary Model Development Guarantees the Precision of Intelligent Models at Different Sites

To overcome the problem of model generalization, iMaster NAIE combines intelligent algorithms with service knowledge for common telecom applications to support lightweight development and intelligent models. Local service data and information can be used to train models efficiently. After model training, a local customized model package will be created. This will significantly reduce the time needed for model generalization or adaptation and increase the speed of replicating intelligent applications.

Retraining Makes Models Smarter

iMaster NAIE provides retraining to maintain model precision and prevent it from deteriorating. If precision is deteriorating, the model precision is assessed during inference. A retraining request is initiated. Then, iMaster NAIE performs retraining based on the coll

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