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Our data science expertise creates an end-to-end product AI solution for below challenges
Weak Foundation
Lack of Data
Data Silo
Limited Data skillsets
Shallow Application
No systematic Solution
Lack of In-Depth Analysis
Limited Business Insight
No closed Loop
Obscure Evaluation
Difficulties in Deployment
No Dynamic iteration
AI Booster Provides an end-to-end AI data empowerment solution around data connectivity,
data preparation, data mining, and data visualization
AI Book Functions
Fast Data Connection
Support quick access to data sources, save data connection information, and avoid repeated input.
Flexible Prediction Output
Support downloading model prediction results or uploading new data for prediction.
Comprehensive Model Evaluation
Automatically formed the model ranking list during batch modeling. It is equipped with rich model evaluation indicators, and the model effect is comprehensively judged for optimal application.
Multiple Modeling Method
Support a spectrum of modeling methods to assist with the needs of different modeling scenarios, such as fast learning model, deep learning model and expert manual model.
Feature Engineering
Support feature engineering processing of die-in data, view the data before and after feature modification, and support selecting the specific fields of the mold.
Automated Modeling
Built-in rich data algorithms and expert-level data pre-processors, which can automate batch modeling around a single prediction target and seek the optimal solution for prediction.
AI Book ADVANTAGES
NO.1
Zero Development to host all models
NO.2
Perform better than the human expert
NO.3
Supported a number of modeling algorithms
NO.4
Automatic model prediction output
AI Manager Functions
No-code Model Hosting
Support large-scale model deployment, connect big data and manage models for real-time prediction.
Model Prediction
Supports setting timed or real-time model prediction tasks, and model prediction results seamlessly connected to business application systems.
Model Monitoring
Supports a comprehensive and comprehensive evaluation of the model prediction performance and ensures the validity of the prediction results.
Synthetic Model Scheduling
Possess the functions as Task Management, System management, Log management it can effectively assist the overall operation scheduling.
Automated Model Turning
Learn automatically based on the latest data, continuously optimize, and output more accurate prediction results.
Flexible prediction output
Prediction results support seamless matching to business execution systems with multiple ways for rapid application.
AI Manager ADVANTAGES
NO1.
Multi-scene rapid scale implementation
NO.2
Predictive scenario refinement tuning
NO.3
Seamlessly connect to business application systems
NO.4
Automatic model learning and iterative update
BI Canvas Functions
Self-led exploration
Realize data analysis capabilities such as filter analysis, linkage analysis, and drillthrough analysis.
Multi-end presentation
Support flexible presentation on PC and mobile terminals to fit all your needs.
Flexible data handling
Built-in basic data preprocessing tools, with flexible data calculation functions to improve data quality.
Enterprise level management
Full enterprise-level management capabilities, e.g.: authentication, authorization, and resource sharing.
Data Visualization
Built-in rich visualization components, supports drag-and-drop interaction to easily create visual charts and analysis reports.
Extensive data source connectivity
Support multiple data source access methods, fast access, save data connection information, avoid cumbersome input.
BI Canvas ADVANTAGES
NO.1
Integration of data preparation, report production and data analysis
NO.2
Drag-and-drop interactions to easily create visual charts
NO.3
Multi-terminal presentation and flexible sharing
NO.4
Million records’ data analysis response in seconds
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