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Machines Replace Humans
for Deeper Understanding of
Service Intents and Objectives
Based on Deep Learning (DL) of networks and service models, enabling the optimization of networks and parameters.
Compensates for Human
Based on network calculus and formal verification, realizing simulation verification prior to the physical world.
Breaks through the Limits of Human
Intelligence to Realize Dynamic
Based on knowledge graphs and Machine Learning (ML) algorithms, enabling fault inference and closed-loop decision-making.
Using Artificial Intelligence (AI), an Autonomous Driving Network (ADN) facilitates the constant innovation of network architecture based on knowledge and data, breaking the limits of manual processing. In addition to helping Operations and Maintenance (O&M) personnel better understand service intents and objectives through DL, ADN uses data computing to bypass "knowledge gaps," with ceaseless ML breaking the limits of what manual, experience-based decision-making can achieve. As a result, networks can become self-organizing, self-healing, self-optimizing, and autonomous, bringing intelligent connectivity within reach for enterprises and accelerating the digital transformation of industry.
iMaster Network Cloud Engine (NCE) is a network automation and intelligence system that integrates management, control, analysis, and AI functions, effectively implementing business intents on physical networks. Mainly used in data center, enterprise campus, enterprise private line, and carrier network scenarios, iMaster NCE enables resource cloudification, full-lifecycle automation, and analytics-driven intelligent closed-loop management according to business and service intents. It also provides open network Application Programming Interfaces (APIs) for rapid integration with Information Technology (IT) systems and accelerates service transformation and innovation for carriers and enterprises by improving the simplicity, intelligence, openness, and security of networks.
iMaster Network AI Engine (NAIE) is a fundamental platform for network AI design and development. It continuously trains AI models and extracts knowledge based on the network data uploaded to the cloud to generate new AI models and network knowledge. These can then be injected into network infrastructure, the network management and control unit, and cross-domain intelligent O&M platform to create a smart and easy-to-use network. iMaster NAIE is also an intellectual asset sharing center for enterprise networks. It implements unified management of various AI models and network knowledge, fully sharing and reusing them to reduce the need for repeated development and training.