2 results about "Medium enterprises" patented technology

This invention discloses a hybrid cloud database integration and AI enterprise agent method for SMEs, including unified storage and event collection, cross-system data exchange and standardization, version and conflict handling, lifecycle and compliance archiving, industry-specific RAG and report generation, model training and validation deployment, and providing industry-specific intelligent applications in the engineering / manufacturing field such as semantic retrieval, intelligent question answering, and business prediction based on a finely tuned AIGC large model. This invention also discloses a hybrid cloud database integration and AI enterprise agent system for SMEs, including a foundation layer, a data flow layer, and an intelligence layer. This invention adopts a hybrid cloud architecture, combining local NAS and external MaaS platforms to achieve secure local storage of core data and elastic computing power support, solving the problems faced by SMEs in the informatization construction of engineering / manufacturing scenarios, such as chaotic data management, difficult system integration, high compliance risks, difficulty in implementing AI applications, and high cloud dependency costs.

The invention relates to the technical field of enterprise intelligent diagnosis, and discloses a medium and small-sized enterprise diagnosis method and system based on multi-source data fusion and AI. According to the method, enterprise business operation, industry situation, market feedback and compliance audit multi-source data are integrated, after formats are unified, multi-dimensional slicing processing is carried out according to business fields, time periods and data sensitivity, and cores and abnormal information nodes in slices are marked. And respectively constructing an enterprise state vector and a risk feature vector by utilizing the node information, dynamically adjusting the vector weight through a preset diagnosis rule network, and driving the concurrent execution of a plurality of associated diagnosis subtasks. And the system performs consistency verification and conflict resolution on the intermediate result of each subtask, and finally synthesizes a structured multi-dimensional diagnosis report. According to the method, efficient and comprehensive enterprise state assessment and risk identification are realized through fine segmentation and collaborative analysis of multi-source data.