How Zhejiang Mobile’s AIOps System Achieved National Advanced Level in the First Official Evaluation

Intelligent Operations (AIOps) applies AI technologies such as machine learning and data science to IT operations, enhancing and partially automating core functions. Gartner describes AIOps as a loosely coupled, scalable approach that extracts and analyzes growing volumes, varieties, and velocities of IT data to support operational management.

On December 24, the China Academy of Information and Communications Technology (CAICT) launched the 2021 GOLF+ IT New Governance Leadership Forum, focusing on "Balanced Governance, Building a New Technological Ecosystem" and "XOPS Innovation, Leading New Operational Development". During the forum, CAICT announced the first batch of official evaluation results for AIOps systems and tools.

Zhejiang Mobile’s fault‑center project successfully passed the comprehensive assessment of the "Fault Prediction" module under the "Cloud Computing Intelligent Operations (AIOps) Capability Maturity Model – Part 2: System and Tool Technical Requirements". This demonstrates that Zhejiang Mobile’s AIOps system and tools have reached an advanced domestic level.

Interview with Zhu Shijie, Deputy Director of Zhejiang Mobile Network Management Center

Q: Please introduce your organization and the project you evaluated. Zhejiang Mobile, a subsidiary of China Mobile, leads in 4G, VoLTE, cellular IoT, and 5G deployments. It has built an OSS capability center featuring cloudification, micro‑service, centralization, intelligence, and APP‑ization, earning multiple technology awards. The evaluated project, the Fault Center, implements a "135" intelligent fault‑management framework: a closed‑loop management system (1), three alarm‑knowledge rule libraries (3), and five core capabilities (5) covering open APIs, configurable orchestration, visual alarm quality monitoring, high‑capacity storm handling, and intelligent operations.

Q: How do you feel about passing the first official AIOps assessment? Zhu noted that AIOps is the future of DevOps, a systematic engineering effort. The assessment validates Zhejiang Mobile’s practice and provides standards and guidance for further capability improvement.

Q: What considerations drove your participation? The goal is to advance network autonomous driving, shift from fragmented to platform‑based operations, and develop intelligent, automated capabilities across the entire network lifecycle.

Q: What changes has the assessment brought? It offers clear guidance for evolving AIOps capabilities, promotes team skill growth, and strengthens the organization’s operational mindset.

Q: What are the next steps for AIOps at Zhejiang Mobile? Three plans: broaden AIOps applications (e.g., smart energy management, voice‑quality analysis, infrastructure quality inspection), build a national‑level AIOps platform for data sharing, and integrate AIOps with network autonomous driving initiatives.

Q: What is your view on the future of AIOps? Zhu highlighted three suggestions: unify industry goals and methods for next‑generation infrastructure, transition operations staff from traditional IT to DOICT skills, and foster an ecosystem around product, operation, and governance to accelerate standardization and technology adoption.

The "Intelligent Operations (AIOps) Capability Maturity Model" was jointly developed by CAICT, the Cloud Computing Open Source Industry Alliance, the Efficient Operations Community, major internet companies, and telecom and financial enterprises. It is the first international standard for intelligent operations, approved by ITU‑T SG13. The model’s Part 2 opens four quality modules—anomaly detection, fault prediction, alarm convergence, and root‑cause analysis—for enterprises to evaluate.