Product Features
Highly Automated
Construct a comprehensive data mining workflow, covering data cleaning, feature engineering, machine learning algorithms, and online prediction.
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.
Automatic Feature Generation
By configuration, high-dimensional features can be systematically and automatically generated, significantly reducing the workload of manual feature creation.
Automated Learning
The system automates preprocessing, feature engineering, algorithm selection, and model training parameter tuning, lowering the cost of learning and usage.
Model Visualization
Provide intuitive and easy-to-understand model visualization features, making models more transparent and controllable, and facilitating analysis and optimization of models.
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
One-Stop Algorithm Modeling
Provide a one-stop service for machine learning algorithms, covering data processing, feature engineering, model training, service deployment, and prediction.
Interactive Model Development
Conduct data cleaning, statistical analysis, data visualization, and machine learning model construction in a one-stop, interactive manner based on Notebooks.
AutoML Automated Modeling
Without requiring machine learning skills or manual intervention, the entire process from feature construction and feature combination to algorithm selection and parameter tuning is completed automatically, lowering the barrier to entry for AI applications.
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. As AEON's business continues to grow, the importance of data to business development has become increasingly prominent. The group launched a data middle platform project to establish a unified data platform connecting core business systems. By aggregating business data, enabling data interconnection and standardization, and forming data assets, the platform provides reusable data services and capabilities for business and data development teams, supporting AEON's digital transformation.
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