ZTE showcases AI OpsBot Core Network Intelligent Expert

• AI OpsBot Core Network Intelligent Expert leverages AI and multiple intelligent agents orchestration, reshaping the paradigm of network operations and maintenance
• This solution adopts natural language interaction to enhance O&M efficiency by 30%,  compared to traditional manual operations
• ZTE aims to achieve L4-level intelligent O&M for core networks, offering telecom companies a more efficient and stable approach to network management

ZTE Corporation (0763.HK / 000063.SZ), a global leading provider of integrated information and communication technology solutions, has showcased its AI OpsBot Core Network Intelligent Expert at 5G summit & User Congress 2024 in Istanbul, Türkiye. Leveraging the synergy between large and small AI models, as well as flexible orchestration among multiple intelligent agents, this solution adopts natural language interaction to enhance O&M efficiency by 30% compared to traditional manual operations, thereby reshaping the paradigm of network operations and maintenance.

AI OpsBot Core Network Intelligent Expert

The core network serves as the nerve center of telecommunications networks, handling vast numbers of users and critical data flows. Traditional O&M methods involve extensive manual intervention, which is not only time-consuming but also prone to errors and risks. To address these challenges, ZTE has introduced the AI OpsBot Core Network Intelligent Expert system. This system provides professional knowledge queries, rapid analysis of key performance indicators (KPIs), intelligent fault localization, and diagnostic services. By automating these tasks, it significantly reduces the time and resources required for troubleshooting while improving the accuracy and efficiency of problem resolution. The system incorporates several key technologies:

Synergy between AI Large and Small Models:

A self-developed telecommunications-focused large model enables intelligent human-machine interaction and automated report generation without relying on specific application scenarios. This model boasts strong generalization capabilities, adapting seamlessly to various network environments. Meanwhile, smaller models specialize in precise fault identification, swift localization, KPI prediction, and simulation/suppression of signaling storms.

Flexible Orchestration of Multiple Intelligent Agents:

Intelligent agents, based on large models and capable of independent decision-making and task execution, collaborate to plan and execute complex tasks across layers, domains, and network elements within the core network. This approach lowers the technical barriers for O&M personnel and boosts overall operational efficiency.

ZTE is committed to collaborating with global operators and partners. By empowering network operations and maintenance with AI, ZTE reduces the need for human intervention, offering telecom companies a more efficient and stable approach to network management. The goal is to achieve L4-level intelligent O&M for core networks, setting a new paradigm for the telecom industry.