How China Mobile’s AIOps Tools Achieved Top‑Tier Evaluation and What It Means for Smart Operations

What is AIOps?

Intelligent Operations (AIOps) applies artificial‑intelligence technologies such as machine learning and data science to IT operations problems, enhancing and partially replacing core IT‑ops functions. Gartner describes AIOps as extracting and analyzing ever‑growing volumes, varieties, and velocities of IT data in a loosely coupled, scalable way to support IT‑ops management products.

Evaluation Results

On December 26, 2022, the China Academy of Information and Communications Technology (CAICT) announced the latest batch of AIOps standards assessment results. China Mobile Information Technology Co., Ltd. (China Mobile Information) submitted two projects: the "Shen·Langhuan" intelligent operations knowledge‑base tool and the "Shen·Suanzi" capacity‑forecasting tool. Both received an "Excellent" rating in the CAICT "Cloud Computing Intelligent Operations (AIOps) Capability Maturity Model – Part 2: System and Tool Technical Requirements" standards for the Knowledge‑Base Construction and Capacity Forecast modules, indicating a leading domestic capability.

Interview with Liang Enlei

Q: Please introduce yourself, your company, and the projects you evaluated. Liang Enlei explained that China Mobile Information is a wholly‑owned subsidiary of China Mobile Group, established in early 2018 to support the group’s large‑scale IT strategy. Their two evaluated projects are built on a modular, loosely coupled architecture using advanced AI algorithms: a knowledge‑base tool that manages and graph‑structures domain knowledge, and a capacity‑forecasting tool that uses time‑series prediction and regression models to enable real‑time resource and workload forecasting for intelligent scaling and proactive maintenance.

Q: How do you feel about achieving the Excellent rating? He expressed great satisfaction, thanked the experts, and said the recognition motivates the team to continue improving intelligent operations.

Q: Why did you participate in the AIOps standards assessment? He noted that the assessment framework, jointly created by CAICT, the Cloud Computing Open‑Source Industry Alliance, and leading enterprises, provides valuable guidance for teams deepening their AIOps practice. The evaluation helps benchmark their capabilities, identify gaps, and offers a platform for expert exchange.

Q: What changes has the assessment brought to your team? The assessment reshaped the team’s understanding of AIOps, clarified its benefits and challenges, and reinforced their commitment to a long‑term AIOps transformation, especially as passive, expert‑driven operations can no longer sustain digital business growth.

Q: What are your next steps for AIOps work? Liang said the team will invest more in AIOps enablement and capability building, focusing on data foundation, observability, algorithm development, and aligning with China Mobile’s middle‑platform and product strategies to create classic practice cases and extend AIOps across the network.

Q: What is your view on the future of AIOps? He believes AIOps is still in a rapid growth phase, with emerging commercial products but lacking a mature ecosystem. Future development will involve a collaborative ecosystem among industry, academia, and research, deeper industry penetration, more refined problem solving, and standardized value assessment.

Tool Introductions

Shen·Suanzi – Intelligent Operations Capacity‑Forecasting Tool – Embeds multiple time‑series prediction algorithms and regression models to forecast system resource capacity and workload in real time, enabling intelligent scaling and precise proactive maintenance.

Shen·Langhuan – Intelligent Operations Knowledge‑Base Tool – Based on the "5C5S Knowledge Management Model", supports multi‑tenant management, automatically acquires and graph‑structures domain knowledge, and provides an AI chatbot powered by knowledge‑graph technology to help operators quickly locate problem clues and answers, greatly improving operational efficiency.

AIOps Capability Maturity Model

The "Intelligent Operations (AIOps) Capability Maturity Model" series, led by CAICT with participation from the Cloud Computing Open‑Source Industry Alliance, high‑efficiency operations community, dbaplus, BATJ, and major telecom and financial enterprises, is the first domestic and international standard for intelligent operations, approved by ITU‑T SG13.

Based on Part 2 of the model, eight modules are currently open for assessment: anomaly detection, fault prediction, alarm convergence, root‑cause analysis, fault self‑healing, fault prevention, capacity forecasting, and knowledge‑base construction.