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Huawei's Intelligent Operations and the Advancement of AI in Telecommunications

In an era where managing telecommunications networks is increasingly complex, Huawei's Intelligent Operations stands at the forefront of technological innovation. The integration of fixed and mobile networks has become essential to deliver seamless service experiences, encompassing everything from IoT applications to end-to-end network slicing. As the demands for connectivity rise, so too does the necessity for advanced operational capabilities.

Evolving Network Management

With the shift toward software-driven networks, the skill sets required for maintenance and assurance have significantly changed. Huawei emphasizes that new technologies, including enterprise-oriented APIs and agentic AI, are crucial in optimizing network operations. By prioritizing business key performance indicators (KPIs) over mere uptime, telecom networks can better cater to diverse use cases while enhancing their reliability.

Huawei collaborates closely with its own network technology engineers and major industry standards organizations, such as the TM Forum. This collaboration aims to pioneer the evolution of network services, ensuring alignment with industry best practices. By integrating customer feedback with operational vision, Huawei is pushing the boundaries of AI's role in telecom operations.

Practical Implementation and Results

Huawei's Intelligent Operations has delivered tangible impacts across various regions. For example, in the Asia-Pacific, a collaboration resulted in the development of the Expected Demand Not Served algorithm. This tool effectively identifies service usage dips and quickly pinpoints underlying faults. Consequently, the affected carrier experienced a commendable 15% reduction in service disruptions.

In the Middle East, improvements in topology accuracy for an FTTx network utilized delay-tolerant network architecture, cutting down invalid work orders by 60% and leading to a notable 10% reduction in customer complaints.

In Europe, Huawei's deployment of Generative AI (Gen-AI) yielded a 25% improvement in Mean Time to Repair (MTTR). By leveraging role-based copilots and enhancing collaboration among maintenance personnel, the approach allowed for comprehensive management of complex scenarios on the ground.

Challenges and Innovations in Gen-AI

The rise of generative AI has prompted the development of two operational models: copilots and agents. While copilots assist human employees in tasks such as coding and system configuration, agents operate autonomously targeting specific tasks. However, the implementation of Gen-AI prompts concerns regarding data accuracy, operational costs, system integration complexities, and the need for effective data management.

For instance, hallucinations—instances of the AI producing incorrect information—remain a significant challenge. Mitigating these risks involves rigorous model training, implementation of retrieval-augmented generation techniques, and verification mechanisms. Furthermore, as operational costs for Gen-AI can escalate, cost management strategies must be established to maximize benefits while minimizing expenses.

Integrating Gen-AI with existing systems poses its own challenges. Creating a digital twin of the network necessitates the elimination of data siloes and the consolidation of disparate data formats. This requires expert knowledge and robust professional services to ensure seamless integration.

Looking Ahead with DeepSeek

Introduced in January 2025, DeepSeek is poised to revolutionize how Gen-AI is utilized within telecommunications. By enhancing domain knowledge application and intelligent ticket processing, it aims to bring a higher level of efficiency to CSP operations. Huawei's ongoing commitment to research and development reflects its belief that ICT technology will continue to play an instrumental role in advancing the digital economy. With their robust investments in innovative solutions, Huawei is set to lead the way in intelligent network operations.

Furthermore, Huawei collaborates with the TM Forum and key telecommunications providers to release annual comprehensive reports—such as the New-Generation Intelligent Operations White Paper 3.0. This document elucidates contemporary business practices and the applications of cutting-edge technologies, offering a roadmap for the future of telecommunications.

In conclusion, as telecommunications networks evolve, Huawei's Intelligent Operations is a beacon of advancement. The company's strategic approach to integrating AI and operational best practices not only addresses current challenges but also prepares the industry for the future.