Core Insights - The digital transformation strategy of enterprises is shifting towards a data asset-centric approach, moving away from traditional modular "information silos" [3] - AI technology is proposed to decouple functional modules and reconstruct data assets, achieving a dynamic balance among management methods, technical architecture, and business models [3] - The "AI for Process" model developed by the company connects data buses and business processes through an AI middle platform, promoting a closed-loop data decision-making system [3] Company Developments - The company has developed over 100 customer scenario templates and established engineering solutions for intelligent agents across multiple industries [3] - The launch of the "Shenzhou Wenxue" tool platform integrates computing power, models, knowledge, and applications, creating an intelligent application engineering pipeline [3] - The company has built a full-stack AI capability matrix covering "industry consulting + intelligent platform + hardware carrier + ecological services" and has implemented dozens of large model agent projects in finance and manufacturing sectors [3] Industry Trends - The engineering application phase of AI is expected to reshape enterprise operating models through a real-time data interaction-based intelligent task distribution system [4] - Industry data indicates that the expansion speed of enterprise-level AI application scenarios has increased by 40% year-on-year, accelerating the trend of technology democratization [4]
第八届数字中国建设峰会 聚焦AI驱动企业转型