Core Insights - The 2025 China Mobile Global Partner Conference highlighted the theme "Carbon-Silicon Symbiosis, Co-creating the AI+ Era," where CaiXun Co., Ltd. was invited as a long-term partner of China Mobile to participate in the launch of the "Lingxi Intelligent Body Empowerment Ecosystem Plan" [1][2] - CaiXun's chairman, Yang Liangzhi, emphasized that AI is evolving from a simple algorithmic tool to a "digital life form" capable of perception, understanding, decision-making, and action, creating a self-optimizing intelligent loop within enterprise operations [1][2] Company Strategy - CaiXun's AI strategy focuses on enterprise-level applications, starting with its self-developed platform Rich AIBox 1.0/2.0, which includes modules such as enterprise knowledge base, intelligent customer service, smart marketing, and AI BI, aiming to deeply integrate AI into business processes [1][2] - The company aims to transition from "single-point innovation" to "ecological collaboration" in the AI industry, positioning itself as a "technology foundation + ecological connector" to rapidly implement AI across various industry scenarios [2][3] Future Outlook - CaiXun has proposed an "AI 2.0" strategy to develop the next generation of enterprise-level intelligent systems with self-learning, self-reflection, and self-collaboration capabilities, focusing on multi-modal understanding, complex task decomposition, and emotional interaction [2][3] - The competitive landscape in AI is shifting from "model competition" to "implementation competition," with CaiXun emphasizing the importance of industry depth and application complexity in the Chinese market [3]

Core Insights - The 2025 China International Big Data Industry Expo opened in Guiyang, focusing on themes such as digital economy innovation, data resource utilization, and data security [1] Group 1: AI Development and Applications - The current development of AI aligns with previous expectations, with large models significantly reducing burdens for B2B users [1] - There has been a notable increase in the application of large models in various B2B scenarios over the past six months, with many enterprises exploring these applications and achieving significant progress [1] - The company has developed a comprehensive AI service system, including AI application development platforms and industry solutions, integrating AI technology into daily operations for enterprises and individuals [1] Group 2: Recommendations for AI Digital Transformation - Companies should understand the capabilities and limitations of the AI models they use to avoid application deviations [2] - A top-level planning for AI transformation is essential, which should clarify application scenarios and governance work [2] - Continuous operation and optimization of AI applications are necessary, as they are not a one-time setup but require ongoing improvement through data iteration [2] - Companies must ensure that the costs associated with AI models align with the expected outcomes to prevent resource wastage [2]