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AI-Based Big Data Analysis Decision-making System

Multi-source data collection and processing: Supports the construction of multi-source data resource pools, supports automatic classification and cataloging management of multi-source data, supports the establishment of multi-source entity data, supports multi-modal fusion of multi-source data, supports spatio-temporal visualization of multi-source data, and possesses multi-source data analysis capabilities;
Intelligent Entity Model Construction: Utilizes intelligent data processing technology to construct entity models through various methods. Capable of automatically identifying entity objects, with the ability to automatically or manually construct entity data models, and supports structured conversion of data models, providing multiple data formats.
Data Entity Intelligent Applications: Utilizes large-scale models and natural language technology to structurally organize entity object data based on entity data models. Possesses automatic extraction capabilities for data attributes, provides process management for entity data organization, quality verification, data service publication, and spatial visualization capabilities (such as data analysis and decision-making, prediction; natural language interaction, fault analysis, and diagnosis, etc.).

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