Based on real enterprise experience, this article presents a new paradigm for enterprise AI governance: a unified AI governance and scheduling platform that replaces scattered model integrations. It centralizes multi-model management, intelligent routing and cost governance, and—most importantly—turns in-house AI components and model services into continuously evolving intelligent assets rather than one-off project code.
Building on our company's practical experience, we present Intelligent Site-Wide Profiling and Adaptive Crawling Technology: A two-stage crawling architecture based on large language models, achieving automatic website type recognition, intelligent content modality discrimination, and differentiated strategy routing. Compared to traditional methods, accuracy improves by 25-40%, maintenance costs reduce by 60-80%, supporting intelligent recognition of 10 website types and 7 content modalities.
Based on our company’s years of industry experience and technical implementation practices in public opinion monitoring and web data mining & analysis, this article explores the progression and paradigm shift of web parsing technologies from rule-driven to semantic understanding. It analyzes the revolutionary value and inherent limitations of LLMs for data extraction, and proposes a hybrid architecture solution.