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Huawei's Intelligent Operations: Shaping the Future of Telecommunications with AI

In the ever-evolving landscape of telecommunications, managing networks has become increasingly challenging. The convergence of services, including fixed and mobile communications, necessitates a robust operational framework to ensure seamless user experiences. Huawei's Intelligent Operations is at the forefront of this transformation, leveraging advanced Artificial Intelligence (AI) and Generative AI technologies.

The Growing Complexity of Telecommunications Networks

As telecommunications networks become more software-driven, the demand for specialized maintenance and assurance skills is on the rise. Traditional methods are no longer sufficient to manage the increasing complexities introduced by new technologies such as enterprise-oriented APIs and agent-based AI. These innovations are designed to optimize network operations, focusing on granular service differentiation and prioritizing key performance indicators over mere downtime metrics.

With the right architectural design and operational practices, networks can support a greater variety of use cases while maintaining higher reliability levels.

Huawei's Commitment to Intelligent Operations

Huawei's Intelligent Operations is dedicated to collaborating closely with its network technology engineers and industry standards organizations. This partnership aims to drive the evolution of network services and evolve best practices within the industry. Working with entities like TM Forum, Huawei coordinates client contributions with its operational vision to create service-centric operational metrics.

The company is pioneering the application of AI in telecommunications operations, investing heavily in research focusing on digital twins and telecom-specific foundational models. By capitalizing on its extensive experience in telecommunications network operations, Huawei implements its unique best practices.

Key Examples of Implementation

In the Asia-Pacific region, for instance, Huawei collaborated with a telecom operator to analyze how defective sites impacted service delivery. Using its Expected Demand Not Served algorithm, Huawei identified underutilized services, pinpointed root causes for usage declines, and prioritized remediation efforts to restore service functionality. This initiative resulted in a remarkable 15% reduction in traffic loss for the operator.

In the Middle East, Huawei's Intelligent Operations significantly enhanced the topology accuracy of a Fiber-to-the-X (FTTx) network, utilizing a delay-tolerant network architecture. This improvement led to a staggering 60% decrease in invalid work orders, ultimately resulting in a 10% drop in customer complaints.

In Europe, Huawei's implementation of Generative AI improved Mean Time to Repair (MTTR) by 25%. Working collaboratively with a carrier, the company developed role-based co-pilots for field maintenance personnel and employed multi-agent collaboration to comprehensively address complex scenarios.

"Huawei Intelligent Operations not only assists its CSP partners in overcoming existing operational challenges but also empowers them to harness the latest technologies to generate new business benefits across the enterprise," stated Kevin Ye, President of the Intelligent Operation Domain at Huawei.

Challenges of Generative AI Implementation

The rapid rise of Generative AI has introduced two primary operational models—co-pilots and agents. Co-pilots assist employees in coding, configuring systems, or managing service quality data flows, while agents are designed to tackle specific operational tasks, functioning autonomously under human supervision.

To effectively harness Generative AI, these tools must mitigate several concerns:

• - Hallucinations: Generative AI often produces incorrect information, necessitating rigorous training, data extraction augmentations, and verification measures to minimize inaccuracies.
• - Cost Factor: Generative AI can incur substantial costs. CSPs require an AI version of financial operations that minimizes expenses while leveraging this innovative technology.
• - Legacy System Integration: The integration of Generative AI with existing systems and data sources poses significant challenges and demands expertise in removing data silos and stress-testing processes.
• - Data Transformation and Management: Building a digital twin necessitates scrubbing erroneous data, standardizing formats, and unifying disparate data sources into a single repository.
• - Expert Training: Without adequate expert training for Language Learning Models (LLMs), the tools may struggle to comprehend extensive documentation critical to CSP operations.

Introducing DeepSeek: Next-Gen Generative AI

With the launch of DeepSeek in January 2025, Huawei has taken generative AI to new heights. Research indicates that DeepSeek is capable of delivering comprehensive operational capabilities via a highly efficient model. Benefits include domain-specific knowledge application, code generation, data analysis, and intelligent ticket processing—all crucial for telecom service operations.

Huawei is leading the charge in applying these new models to telecommunications infrastructure, ensuring that the sector can leverage cutting-edge technologies for a more efficient future.

Huawei's Vision for Telecom Operations

Huawei foresees that telecommunications will continue to play a pivotal role in the digital economy, with emerging technologies acting as intelligent accelerators. Network reliability and intelligent operations will further gain significance. The company is committed to substantial investments in R&D to facilitate these advancements and expedite the transition to intelligent operations.

Recently, Huawei teamed up with TM Forum and leading telecom operators to release the annual New-Generation Intelligent Operations White Paper 3.0, offering valuable insights into the latest business practices and the application of new technologies.

By redefining operational paradigms with AI and Generative AI, Huawei stands poised to lead telecommunications into a new era of efficiency and reliability.