On January 27th, during the Shanghai Summit on AI-Powered Collaborative Office Solutions, Kingsoft Office made an announcement. It stated that the "Enterprise Brain," which is constructed on its comprehensive AI collaborative office platform, WPS 365, has emerged as a frontrunner in implementation among organizational clients in the East China region. This platform systematically amalgamates knowledge assets that are multi-modal and multi-structured, empowering AI to genuinely comprehend the internal logic and interconnections of enterprise knowledge. It effectively tackles real-world issues in enterprise AI applications, such as the intricate parsing of documents and the resolution of knowledge conflicts.

Wu Qingyun, the Vice President of Kingsoft Office, underscored the significance of high-quality data in guaranteeing the efficacy of enterprise-level AI applications. He put forward a "three-step" implementation strategy. Firstly, capitalize on the integrated features of WPS 365 to consolidate unstructured data. Secondly, depend on a knowledge-enhanced generative architecture for document parsing, knowledge extraction, knowledge graph construction, and quality monitoring, thereby forming reusable enterprise knowledge. Finally, integrate this enterprise knowledge into the "Enterprise Brain" for utilization in high-value scenarios across office workflows, business processes, and decision-making flows.

At present, the "Enterprise Brain" concept of WPS 365 has been put into practice across various industries in Shanghai, encompassing finance, high-end manufacturing, and education. By converting scattered organizational documents into easily accessible knowledge, it has brought about enhancements in quality and efficiency in scenarios like customer service response, R&D innovation, and compliance management. For instance, a securities firm utilized the WPS 365 intelligent document repository to boost the knowledge acquisition efficiency of business personnel by 80% and the overall office efficiency by 10%. Similarly, a shipbuilding enterprise reused enterprise knowledge across multiple domains, including supply chain, risk control, finance, and R&D, which expedited the R&D process for marine engine projects.