What Is AIOps? Exploring China’s New AI‑Driven Operations Maturity Model
The article introduces the AIOps (Artificial Intelligence for IT Operations) capability maturity model developed by China’s Information and Communication Research Institute, explains its two parts—general capabilities and system/tool technical requirements—lists the evaluated modules, and announces the upcoming certification ceremony and contact details for participation.
Intelligent Operations (AIOps) applies AI technologies such as machine learning and data science to IT operations problems, enhancing and partially automating core IT operational functions. Gartner describes AIOps as extracting and analyzing ever‑growing volumes, varieties, and velocities of IT data in a loosely coupled, scalable manner to support IT operations management products.
The Intelligent Operations AIOps Capability Maturity Model series of standards, initiated by the China Academy of Information and Communications Technology (CAICT), provides important guidance for enterprises implementing AIOps. Companies from banking, securities, telecommunications and other sectors have participated in CAICT assessments, improving related IT capabilities.
The certificates for this batch will be formally awarded at the “2022 GOLF+ IT New Governance Leadership Forum” hosted by CAICT on January 6, 2023.
The latest batch of enterprises and projects that successfully passed the Cloud Computing Intelligent Operations (AIOps) Capability Maturity Model – Part 2: System and Tool Technical Requirements assessment are listed below.
Model Introduction
The series of standards was led by CAICT and co‑created with the Cloud Computing Open Source Industry Alliance, the Efficient Operations Community, major internet companies (BATJ), and leading financial and telecom enterprises. It is the first domestic and international standard for intelligent operations (AIOps) and has been successfully approved by ITU‑T Study Group 13.
Currently, the general capability maturity assessment based on Part 1 of the model is fully open, with mandatory items including intelligent computing engine, data management, and configuration management. The system and tool technical requirements assessment (Part 2) has opened eight modules: anomaly detection, fault prediction, alarm convergence, root‑cause analysis, self‑healing, fault prevention, capacity prediction, and knowledge‑base construction.
For inquiries about the AIOps system and tool capability maturity assessment, please contact:
CAICT – Shang Mengchen, Phone: 13261081232 (WeChat), Email: [email protected]
Efficient Operations Community – Wei Huanxin, Phone: 18500255645 (WeChat), Email: [email protected]
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