SSE Stock Code：603019
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January 2025
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Supports university programs in data mining, big-data analytics, and AI.
Provide multiple convenient ways to collect research data—database collection, existing-data import, real-time ingest, open-data acquisition, web collection, and more—with efficient data-resource management.
Support university and research-institute faculty and researchers with tools and environments for processing and analyzing massive data.
Provide researchers with algorithms and models, including hundreds of machine-learning algorithms and support for deep-learning models.
Provide simple, fast data-visualization tools to present and analyze research results and showcase scientific outcomes
In system architecture, Sugon’s research sharing service platform uses advanced container technologies to pool hardware resources, fully invoke and reasonably allocate them, and while meeting diverse research-environment needs, fully use research resources. Its architecture is shown below.
At the same time, provide data collection, data-storage management, big data research environments, AI research environments, and industry-science research-environment support, providing researchers in all industries an integrated research-service environment.
The platform as a whole can be divided into a base platform, research tools, research data, modeling visualization, and O&M management. The base platform includes hardware-resource utilization, container platform, container engine, container management, and resource-scheduling modules, providing a base support environment for the upper research platform.
Research tools include data-collection tools, data storage, research environments, and compute and retrieval engines. Collection tools can help research users collect data from various data sources onto the research platform; the storage platform supports storage and management of structured, unstructured, and spatial data. The Sugon research platform can provide support including big data, machine-learning, AI, and industry-domain research environments; together with research data, researchers can rapidly retrieve research data and train algorithms and models through graphical modeling, substantially raising research efficiency and convenience. Research results can be presented through data-visualization tools, presenting research outcomes more vividly and intuitively.
Support extract, clean, and load of massive heterogeneous data, quickly integrating and aggregating data resources, adapting to 50+ mainstream data sources, with graphical collection, high throughput, and low latency, substantially raising work efficiency.
Provide research environments for big data, AI, machine learning, and industry applications, with convenient tools for one-stop research services.
To help researchers from different disciplines and levels analyze and learn from data, both graphical and programmatic modeling are provided. Researchers can model quickly in a visual way or flexibly customize algorithms in code, including statistical models, association, classification, clustering, and deep learning.
Research results need good presentation to be easily understood; the Sugon research service platform provides multiple visualization methods and can customize large-screen displays to user preference.
+86 400-810-0466
international@sugon.com
津公网安备 12011602000521号
+86 400-810-0466
international@sugon.com
津公网安备 12011602000521号
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