Huawei Intelligent Operations Drives AI and Gen-AI Innovation in Telecom Networks

Huawei Intelligent Operations Advances AI and Gen-AI in ICT

Operating telecommunications networks is becoming increasingly complex. Fixed and mobile networks often converge to deliver services like IoT applications or end-to-end network slicing. As networks shift toward software-driven architectures, maintaining and assuring these systems demands new skills.

Emerging technologies such as enterprise-oriented APIs and agentic AI offer ways to optimize network operations. These innovations allow for detailed service differentiation and prioritize key business metrics over mere uptime. With the right architecture and operational strategies, networks can support a wider range of use cases with improved reliability.

How Huawei Supports Network Operations

Huawei Intelligent Operations collaborates closely with its network engineers and industry standards bodies to guide the development of network services. Working with organizations like the TM Forum, Huawei helps establish service-centric operational metrics and integrates customer feedback into its operational vision.

Huawei invests heavily in AI research focused on digital twins and telecom-specific foundation models. The company also leverages its extensive experience managing telecom networks to refine its operational best practices.

• Asia-Pacific: Huawei worked with a carrier to analyze the impact of faulty sites using the Expected Demand Not Served algorithm. This approach detects abnormal drops in service usage, identifies underlying faults, and prioritizes repairs—resulting in a 15% reduction in traffic loss.
• Middle East: Huawei improved topology accuracy for an FTTx network through delay-tolerant network architecture. This cut invalid work orders by 60% and lowered customer complaints by 10%.
• Europe: Using generative AI, Huawei helped reduce mean time to repair (MTTR) by 25%. This included deploying role-based copilots for field technicians and enabling multi-agent collaboration for handling complex scenarios.

Kevin Ye, President of Huawei's Intelligent Operation Domain, emphasizes that the goal is to help communication service providers (CSPs) not only solve current operational challenges but also leverage new technologies to create business value across the organization.

Applications and Challenges of Generative AI in Operations

Generative AI (Gen-AI) is being adopted in two main operational models: copilots and agents. Copilots assist human employees with coding, system configuration, and managing service quality data or trouble tickets. Agents focus on specific tasks and can operate semi-independently under human supervision.

For successful Gen-AI implementation, several challenges must be addressed:

• Hallucinations: Gen-AI can produce inaccurate information. To minimize errors, methods like model training, retrieval-augmented generation, and system verification are essential.
• High Costs: Running Gen-AI can be expensive. Communication providers need cost management strategies similar to financial operations (finops), such as selecting the most efficient language model that meets requirements and minimizing token usage.
• Integration: Combining Gen-AI interfaces with digital twins of networks offers powerful automation, but integrating diverse data sources and business support/operations support systems (BSS/OSS) is complex.
• Data Management: Creating accurate digital twins requires breaking down data silos, cleaning and normalizing data, and consolidating various formats into unified repositories. This demands expertise and professional services.
• Training: Large language models must be trained with domain-specific data such as CSP documentation and operational processes to be effective. Huawei Intelligent Operations offers support in this area.

Introducing DeepSeek: Efficient Gen-AI for Telecom Operations

Huawei launched DeepSeek in January 2025, demonstrating a more efficient generative AI model capable of delivering domain knowledge, code generation, data analysis, and intelligent ticket processing. These features align directly with the needs of CSP operations, positioning Huawei as a leader in applying Gen-AI to telecom infrastructure.

Huawei’s Outlook on ICT Operations

ICT technology remains critical in driving the digital economy, with new technologies acting as accelerators for intelligent operation. Huawei continues to invest heavily in research and development to support these advances and accelerate the transition to smarter operations.

Collaboration with TM Forum and leading carriers has resulted in the annual release of the New-Generation Intelligent Operations White Paper 3.0. This publication shares insights into the latest business practices and technological applications shaping network operations today.

For professionals looking to deepen their understanding of AI and automation in operations, resources such as Complete AI Training's courses by job role offer practical learning paths tailored to operational roles.