AI、数据、算力等四大技术驱动，行业探索“智能体”建设

Core Insights - The explosion of AI model applications signals a shift from the digital age to the intelligent agent era, with data resource accumulation and value extraction being key variables affecting enterprise productivity [1] - AI and data technologies can provide comprehensive value enhancement for clients, with AI-generated code reaching up to 50% and AI customer service issue resolution rates hitting 80% [1] - The six core technological factors driving global changes over the next 10 to 20 years are AI, data, computing power, energy, materials, and biotechnology [1] Company Insights - The development of enterprise intelligent agents is categorized into four stages: "tool-based," "process-based," "scenario-based," and "ecosystem-based," reflecting both technological iteration and deep business model transformation [2][3] - The "tool-based" stage focuses on developing single-function intelligent agents for specific tasks, while the "process-based" stage aims to create linear intelligent agents that streamline complete business processes [2] - The "scenario-based" stage emphasizes comprehensive intelligence within specific functional areas, and the "ecosystem-based" stage promotes deep integration of internal resources with upstream and downstream ecosystems [3] Industry Insights - Intelligent agents are currently mature in knowledge Q&A and interactive fields, with potential rapid development in industries requiring extensive data analysis, such as biopharmaceuticals, healthcare, and financial risk control [2] - At the China International Big Data Industry Expo, the company showcased various intelligent solutions, including smart meeting integration and intelligent safety management systems, demonstrating a 60% improvement in inspection efficiency for their showcased solutions [3]