直击WAIC 2025 | 当“如何落地”成AI高频问题 中国电子云：“懂业务”比单纯技术优势更重要

Core Insights - The core issue for enterprises in AI adoption is the confusion around implementation and application, as highlighted by Huang Feng, Senior Vice President of China Electronics Cloud, during the WAIC 2025 [1][2] Company Strategy - In 2025, China Electronics Cloud officially integrated AI into its strategic core, focusing on high-security computing infrastructure and data innovation services [2][4] - The company aims to transition from "experimental investment" to "strategic layout" in AI, having established a dedicated product line after two years of exploration [4][5] Market Positioning - China Electronics Cloud's primary clientele includes central state-owned enterprises and key industries, which are seeking intelligent breakthroughs after initial digitalization [4][5] - The company emphasizes that understanding business needs is more critical than mere technical advantages in the competitive landscape [5][6] Data Governance and Challenges - High-quality datasets are essential for AI development, but the domestic data governance sector faces significant challenges, including a lack of standardized processes [6][7] - The company is actively participating in national data standard formulation to address the issue of inconsistent industry standards [6][7] Security Considerations - Data security is a major concern for central state-owned enterprises, prompting China Electronics Cloud to develop comprehensive security solutions in collaboration with partners [7][8] Competitive Advantages - The company's core competitive edge lies in its long-term data and business accumulation, with a focus on domestic GPU adaptation and industry-specific knowledge [8][9] - China Electronics Cloud has established partnerships with over five national laboratories and more than ten central enterprises to build high-quality datasets [9][10] Future Trends - The company recognizes the trend of "small models with large data" as a mainstream approach in AI, advocating for flexible model sizes tailored to specific scenarios [10][11] - The concept of Agent as the ultimate form of AI is acknowledged, though practical implementation remains a challenge due to the complexity of tasks involved [11]