GBase AI Officially Released: Defines Scenario-Based AI Models

Recently, the GBase AI platform was officially released. Leveraging efficient in-database big data analytics technology, it delivers high-performance AI analysis through massively distributed parallel computing. The GBase AI platform defines scenario-based AI models and maximizes enterprise data value through full-data mining.

 Defines Scenario-Based AI Models

Artificial intelligence is an irresistible trend, yet the barrier to entry remains extremely high for many enterprises. The GBase AI platform comes with a number of ready-to-use, industry-standard AI models — such as financial anomaly detection and user profiling — drastically lowering the threshold for leveraging AI-powered big data analytics and reducing workload. With deep roots in finance, telecommunications, and other sectors, GBase will continue to enrich and refine these industry models, growing together with the market.

Easy to Use  Define Algorithms by Drag-and-Drop

The GBase AI platform includes a user-facing client — GBase AI Studio — that delivers a visual workflow experience. Users can design machine learning models on a canvas simply by dragging and dropping components, and view models and mining results graphically. It is extremely easy to use: complex algorithm models can be defined without writing code, allowing users to focus their efforts on business. Complex algorithms empower front-end applications.

The GBase AI platform supports a comprehensive set of AI algorithms, including machine learning, deep learning, graph analytics, and algorithms for data preparation and result evaluation. Examples include backpropagation neural networks, convolutional neural networks, deep belief networks, and generative adversarial networks. It also allows users to extend AI capabilities by coding custom algorithms in multiple languages.

Full-Data Mining Unlocks Data Value

For an AI platform, the more comprehensive the data being mined, the more correlations can be uncovered — and the greater the value of the data. The key to how the GBase AI platform unlocks data value lies in its seamless integration with the full-data platform GBase UP, applying powerful mining algorithms across all data.

 The GBase UP unified data platform solves the core challenges of convergence and data flow in big data platforms, enabling end-to- end data management. It unifies structured, semi-structured, and unstructured data; converges relational algorithms (SQL) with non-relational algorithms (NoSQL, graph, machine learning, etc.); and facilitates real-time data exchange between different processing engines, delivering transaction processing and real-time analytics capabilities.

GBase AI Platform Passes Official Testing

The GBase AI platform has passed testing by the Data Center Alliance and has received relevant certifications. Six key indicators — management functionality, core functionality, operability, parallelization and compatibility, and performance — all meet the requirements of the Big Data Product Capability Assessment (Basic Capabilities).

 The GBase AI platform is already deployed in real-world production environments for multiple customers, delivering significant business benefits. It elevates the value extraction from big data to unprecedented heights, empowering organizations to drive business growth with smarter insights.