technology

Huawei Intelligent Operations Drives AI And Gen-AI Development In ICT

Telecommunication networks are becoming increasingly difficult to manage. Telecommunication networks are also increasingly converging: fixed and mobile networks are now required to provide a specific service experience, whether IoT or end-to-end network slicing. 

As telecom networks become more software-oriented, they must be managed with different expertise in terms of maintenance and performance assurance. New technologies are also complicating the situation, such as APIs for enterprise customers and AI agents. These new technologies can optimize network operations for granular service differentiation, and prioritize business KPIs over uptime. With the right architecture and practices, telecom networks can meet a much wider range of usage scenarios with increasingly optimal reliability. 

Huawei Support 

Huawei Intelligent Operations works with internal network technology experts and industry standard-setting bodies to guide the development of network services while supporting all best practices. Huawei Intelligent Operations also collaborates with TM Forum to use customer feedback and vision to create operational metrics that prioritize network services. Huawei is expanding the potential of AI in telecom operations. In addition, Huawei is conducting research on digital twins and AI basic models for the telecom sector. Huawei also uses its extensive experience in managing telecommunications networks and developing best practices. 

Case study example: 

In Asia Pacific, Huawei collaborated with a telecommunications operator to assess the impact of a damaged network location. The project utilized the Expected Demand Not Served algorithm designed by Huawei. Through this algorithm, Huawei assessed that the level of service usage was lower than usual. Huawei also found the point of damage that caused this, and prioritized repairs so that the network could work normally again. This step reduced traffic loss by 15%. In the Middle East, Huawei Intelligent Operations optimized topology accuracy for FTTx networks, utilizing a delay-tolerant network architecture that reduced invalid work orders by 60%. As a result, the customer complaint rate was reduced by 10%. 

In Europe, Huawei utilized Gen-AI to increase MTTR by 25%. Huawei also worked with telecommunications operators to develop role-based copilots for network maintenance personnel, as well as multi-agent collaboration that handles complex scenarios. "Huawei Intelligent Operations not only helps CSP partners solve operational challenges, but also drives the use of cutting-edge technologies to drive new business" – Kevin Ye, President of Intelligent Operation Domain, Huawei 

Gen-AI Applications and Challenges 

The rapid adoption of generative AI has led to two basic operational models: copilot and AI agent. With copilot, employees assist with programming, system configuration, or managing service quality data and network outage tickets. AI agents focus more on specific tasks or operational issues, and can work independently under the supervision of human employees. 

Tag: Huawei Intelligent Operations Telecommunication Networks