Being easy-to-use and efficient, value of AI can be developed targeted at businesses

“AI in-depth analysis” has many typical built-in machine learning algorithms such as logistic regression, decision tree, K-means clustering, etc.; data scientists construct, train and evaluate data models together with predictive analysis by means of visualized workflow.

Business users can effortlessly use the model and closely embed it into their own business scenarios so that AI comes into play.

Based on a distributed AI calculation engine, model learning and computing can be rapidly completed even for massive data.


One-stop data analysis

Combining exploratory analysis and in-depth analysis, one-stop insight on one-stop data analysis is provided.

Distributed AI computing

Concurrent iteration high up to hundreds of nodes makes the performance improved by several magnitudes and the computational efficiency elevated substantially.


All-round algorithm upgrade

Logistic regression, K-means clustering, association rule, decision tree, LDA linear classification, unitary linear regression, HoltWinters timing analysis, R model

Simple and easy to use

You only need to drag and drop nodes to form a complete workflow, so that the entire process of AI in-depth analysis is fulfilled.


Technical architecture

Yonghong Z-Suite one-stop big data analysis platform can create values for our customers and make them achieve success based on excellent data techniques.