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2026-05-22
To thoroughly implement Guoxian’s digital transformation and upgrading strategy, continue to strengthen the foundation for intelligent development, and use digital technology to empower its core business to improve quality and efficiency while supporting the company’s high-quality development, on May 20, 2026, Guoxian Technology’s Digital and Intelligent Management Department held a special seminar on AI middleware architecture development and process optimization. The meeting featured in-depth discussions on core topics such as the iterative enhancement of AI platform capabilities, the establishment of a middle-platform system, the empowerment of business scenarios, and the practical application of intelligent agents. It identified current pain points and challenges in intelligent development, clarified the overall plan, implementation path, and specific implementation plans for building an enterprise-level AI middle platform, and laid a solid foundation for the company’s comprehensive AI-driven business development.
I. Accurately Assessing the Current Situation and Identifying Core Scenarios for AI Business Implementation
With a focus on long-term development, the conference established a seven-layer architectural blueprint for an enterprise-level AI middle platform, forming a “modular, reusable, and comprehensive” technical support system: ranging from a unified AI portal and the agent operations and scheduling layer, to the Skill Hub, prompt lifecycle management, the Dify orchestration platform, Fast API service modules, and the ESB service bus—ultimately achieving the unified consolidation of data and knowledge assets. The conference prioritized three key areas: building the Skill Hub to integrate the entire “development-management-application” process; standardizing prompt management to lower the barrier to application; and selecting an AI knowledge base to address the challenges of “fragmented tools and difficulties in resource sharing,” thereby strengthening the foundation of intelligent technology.
III. Focusing on Business Value: Driving the Evolution of AI from Efficiency Improvement to Decision-Making Empowerment
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