This article explores how AI large‑model technology can be integrated into DevOps pipelines to automatically detect, classify, and resolve interruption events, dramatically reducing manual troubleshooting time and improving overall software development and operations efficiency.
The article explains how the R&D data middle platform integrates large language models to automate data collection, real‑time monitoring, intelligent analysis, and rapid root‑cause identification for online issues, detailing the architecture, wide‑table modeling, generative BI, attribution algorithms, RAG enhancements, and future optimization plans.
The article explains how high‑definition intelligent video monitoring, automated analysis, and layered VMS architecture enable pre‑warning, real‑time response, and post‑event evidence collection to strengthen anti‑terrorism security in smart city environments.
