A platform that offers highly automated and user-friendly machine learning algorithms, enabling users to rapidly build and deploy high-precision machine learning models, enhancing data mining productivity, and helping enterprises transition from the BI era to the AI era.

Product Features

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  Highly Automated

  Construct a comprehensive data mining workflow, covering data cleaning, feature engineering, machine learning algorithms, and online prediction.

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  Simple and Flexible

  Hundreds of machine learning algorithms are encapsulated, allowing model training through visual drag-and-drop operations. Custom components can also be built according to business scenarios.

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  Automatic Feature Generation

  By configuration, high-dimensional features can be systematically and automatically generated, significantly reducing the workload of manual feature creation.

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  Automated Learning

  The system automates preprocessing, feature engineering, algorithm selection, and model training parameter tuning, lowering the cost of learning and usage.

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  Model Visualization

  Provide intuitive and easy-to-understand model visualization features, making models more transparent and controllable, and facilitating analysis and optimization of models.

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  Diverse Services

  Support both offline model prediction and online model prediction services, seamlessly connecting the entire machine learning workflow.

Features

Visual Model Construction

Provide a WEB IDE visual development interface that enables data mining and data analysis functions through drag-and-drop without the need for coding.

Interactive Modeling

Users can complete the process of code writing, execution, data visualization, and result feedback in a one-stop, interactive manner based on Notebooks.

Rich Algorithm Components

Encapsulate hundreds of conventional machine learning algorithms, including feature engineering, binary classification, multi-class classification, clustering, regression, recommendation, and more, connecting the entire machine learning pipeline.

Model Deployment and Application

Provide complete, reliable, and flexible enterprise-level AI application management capabilities, supporting graphical interface-based management, deployment, operation and maintenance, monitoring, and gray-scale release operations.

Application Scenarios

Success Cases

Conch Profiles

Conch Profiles, as a key high-tech enterprise in traditional industrial manufacturing, has faced issues such as poor scalability of existing systems, inability of traditional databases to support massive data, unclear boundaries between cloud and edge partitions, and insufficient edge data storage capacity during its digital transformation. To address these challenges, a data middle platform was built to create a scalable, data-driven, and intelligent production service system.

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AEON

AEON is a leading integrated retail and service group in Asia, with over 500 member companies. In recent years, as AEON's business continues to grow, the importance of data to business development has become increasingly prominent. The group fully recognizes the importance of a data platform for business development and has launched a data middle platform project to establish a unified data platform connecting the group's front-end and back-end core business systems. Through the data middle platform, business data is aggregated, enabling data interconnection and standardization, forming data assets, and providing reusable data services and capabilities for business and data development teams based on technology and big data capabilities, creating a data support platform for AEON's digital transformation.

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