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  • Generative AI

Huawei Boosts Telecom Operations with AI & Gen-AI Innovations


Huawei Boosts Telecom Operations with AI & Gen-AI Innovations
  • by: Source Logo
  • |
  • June 19, 2025

Operating telecommunications networks are becoming increasingly complex, with the convergence of fixed and mobile services, the rise of software-driven operations, and the integration of new technologies like enterprise-oriented APIs and agentic AI. These advancements, while offering opportunities for granular service differentiation and optimized business KPIs, also present significant operational challenges. Huawei Intelligent Operations is actively addressing these complexities by collaborating with industry standards bodies and leveraging advanced AI and Gen-AI capabilities to enhance network reliability and efficiency.

Quick Intel

  • Telecommunications networks are facing increased complexity due to convergence and new technologies like agentic AI.
  • Huawei Intelligent Operations is utilizing AI, Gen-AI, and digital twins to optimize network operations and service delivery.
  • Real-world examples show Huawei's impact: 15% traffic loss reduction in Asia-Pacific, 60% fewer invalid work orders in the Middle East, and 25% MTTR improvement in Europe.
  • Generative AI applications in operations include "copilots" for human assistance and "agents" for independent task execution.
  • Challenges for Gen-AI adoption in telecom include addressing hallucinations, managing high costs, integrating with existing systems, and handling data transformation and training.
  • Huawei is at the forefront of applying efficient Gen-AI models like DeepSeek to telecommunications infrastructure.

Advancing Network Operations with AI and Gen-AI

Operating modern telecommunications networks demands a sophisticated approach, moving beyond simple uptime to prioritize business key performance indicators (KPIs) and support diverse use cases. Huawei Intelligent Operations is at the forefront of this evolution, working closely with its engineers and industry bodies like the TM Forum to guide the development of network services. Their focus is on creating service-centric operational metrics and expanding the application of AI in telecom operations, including intensive research into digital twins and specialized foundation models for the sector. This commitment is supported by their extensive experience in running telecom networks, which continually informs their operational best practices.

Real-World Impact of Intelligent Operations

Huawei's intelligent operation solutions have demonstrated tangible benefits across various regions. In the Asia-Pacific region, a collaboration with a carrier utilized Huawei's Expected Demand Not Served algorithm to identify service usage anomalies and prioritize fault fixes. This initiative successfully reduced traffic loss by 15% for the carrier. Similarly, in the Middle East, Huawei Intelligent Operations significantly improved the topology accuracy of an FTTx network. By implementing a delay-tolerant network architecture, they reduced invalid work orders by an impressive 60%, ultimately leading to a 10% decline in customer complaints. In Europe, Huawei's application of Gen-AI resulted in a 25% improvement in Mean Time To Repair (MTTR), achieved through role-based copilots for field maintenance personnel and multi-agent collaboration for complex scenario resolution.

"Huawei Intelligent Operations believes not only in helping its CSP partners conquer its existing operational challenges, but in helping them harness the latest technology to drive new business benefits across the company" – Kevin Ye, President, Intelligent Operation Domain, Huawei

Generative AI: Applications and Operational Challenges

The rise of generative AI has introduced two primary operational models: copilots and agents. Copilots assist human employees with tasks such as coding, system configuration, and managing service quality data or trouble tickets. Agents, on the other hand, are designed for specific tasks or operational concerns and can function autonomously under human supervision. However, the effective deployment of Gen-AI in operations necessitates addressing several critical concerns. These include mitigating "hallucinations" or incorrect information generation through rigorous model training and verification, managing the high costs associated with Gen-AI usage, ensuring seamless integration with existing systems, and overcoming challenges related to data transformation, cleaning, and consolidation for building accurate digital twins. Furthermore, specialized training from domain experts is crucial for Large Language Models (LLMs) to comprehend complex CSP documentation and operational processes.

The Future of ICT Operations

The introduction of DeepSeek in January 2025 marked a significant advancement in Gen-AI, offering current capabilities with enhanced efficiency. Huawei's research indicates that DeepSeek provides advantages in domain knowledge construction, code generation, data analysis, and intelligent ticket processing, all directly applicable to Communications Service Provider (CSP) operations. Huawei is actively applying these advanced models to telecommunications infrastructure. The company firmly believes that Information and Communications Technology (ICT) will continue to be a cornerstone of the digital economy, with new technologies serving as intelligent accelerators. Consequently, reliable and intelligent network operations will gain increasing importance. Huawei's continued heavy investment in research and development underscores its commitment to supporting these advancements and accelerating the transformation toward intelligent operations. This vision is further solidified through collaborations with organizations like the TM Forum and leading carriers, culminating in annual releases of insights such as the "New-Generation Intelligent Operations White Paper 3.0."

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