What Is AIOps? Exploring the New AI‑Driven Operations Maturity Model
AIOps combines AI techniques such as machine learning with data science to enhance IT operations, and the Chinese CAICT has released the first international AIOps capability maturity model, detailing evaluation criteria, modules like anomaly detection and root‑cause analysis, and announcing recent certified enterprises.
AIOps (Intelligent Operations) applies AI technologies such as machine learning and data science to IT operation problems, enhancing and partially replacing core IT operational functions. Gartner describes AIOps as extracting and analyzing ever‑growing IT data in volume, variety and velocity to support IT operations management products.
The "Intelligent Operations AIOps Capability Maturity Model" series, led by the China Academy of Information and Communications Technology (CAICT) together with the Cloud Computing Open Source Industry Alliance, high‑efficiency operations community, BATJ and major financial and telecom enterprises, is the first domestic and international standard for AIOps, approved by ITU‑T SG13.
Certificates for this batch will be officially presented 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 CAICT “Cloud Computing Intelligent Operations (AIOps) Capability Maturity Model – Part 2: System and Tool Technical Requirements” assessment are listed below.
According to the model, the general capability assessment (Part 1) is fully open, requiring evaluation of intelligent computing engine, data management, and configuration management. Part 2 opens eight modules: anomaly detection, fault prediction, alarm convergence, root‑cause analysis, fault self‑healing, fault prevention, capacity prediction, and knowledge‑base construction.
For inquiries about the AIOps system and tool capability assessment, contact CAICT (Shang Mengchen, phone 13261081232, email [email protected]) or the High‑Efficiency Operations Community (Wei Huanxin, phone 18500255645, email [email protected]).
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