Kingsoft Office(SH:688111) Zhong Guo Xin Wen Wang·2026-01-29 02:21Core Insights - The core observation is that in the AI era, high-quality data assets are becoming the decisive factor for companies to realize AI value, rather than merely competing on model capabilities [1][2] Group 1: AI Model and Data Challenges - The update cycle for top AI models has shortened to a few months, while user retention for specific models can drop significantly within 12 months, indicating that relying solely on proprietary models for competitive advantage is costly and has a short "shelf life" [1] - Many enterprise AI projects face the challenge of "stunning demonstrations but difficult implementations," primarily due to the "sleeping" and "disordered" nature of business data, which includes various documents that are not easily understood by AI [2] Group 2: WPS365 and Data Utilization - WPS365 aims to build a "comprehensive knowledge base" for enterprises, focusing on activating dormant unstructured data through strong document parsing and knowledge governance capabilities [2] - The WPS365 platform provides a full-link solution from data aggregation to intelligent parsing and knowledge governance, exemplified by its intelligent document library that can detect conflicts and convert unstructured data into structured knowledge graphs [3] Group 3: Competitive Landscape and Implementation - The WPS365 "enterprise brain" has been implemented in leading companies in East China, achieving efficiency improvements in knowledge asset management, intelligent compliance review, and automated report generation [4] - The competition in enterprise AI has entered a new phase centered on high-quality data governance capabilities, shifting the focus from merely the intelligence of models to the ability to understand and utilize data effectively [3][4]