Icnmaster Facilitates Intelligence Transition Towards Core Network An Level 4 For Higher Network Stability And Efficiency

As global digital transformation expedites, the use of Autonomous Network AN has become an industry norm. In 2024, 73 global partners contributed to the sixth edition of TM Forums AN whitepaper, and 61 companies signed the AN Manifesto, marking the wide adoption of ANs in the communications industry. ANs integrate AI into network O M to drive the digital intelligence transformation of operators.

On the way towards AN Level 4, Huaweis core network O M intelligent solution - ICNMaster preferentially offers autonomy in high-value scenarios and develops E2E automatic and intelligent capabilities based on network changes and fault management. This improves network O M efficiency and stability.

As cloud native are more widely applied and new RAT is introduced continuously. Conventional O M, which relies heavily on manual operations, can no longer meet the ever-growing service requirements. Frequent network incidents and soaring O M costs are exerting significant pressures on operators, also posing risks to brand loyalty. Therefore, operators are prioritizing the enhancement of core network O M efficiency and high network stability.

Simplified O M: Agents Boost the Quality and Efficiency of Operations

Conventional troubleshooting relies on expert experience and intricate tools, making it time-consuming and inefficient. ICNMaster employs AI, telecom foundation models, and digital twins to swiftly detect and analyze network faults and solve key service issues quickly, minimizing the need for manual intervention. ICNMaster can automatically diagnose faults and provide solutions in minutes, ensuring maximum service continuity.