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Gotion GeekMind Factor Modeling Tool was recently successfully used in the automotive parts industry by Yuxin Auto. Currently, its application scope covers industries such as semiconductors, panels, electronics, automotive parts, etc. Why do people choose it? What exactly is it? Let's unveil its mystery.

 

Gotion focuses on data intelligence and artificial intelligence to launch the GeekMind factor mining and modeling tool

 

 

| Perhaps your company has also encountered these problems?

When production and quality abnormalities occur, it is usually only possible to trace factors after the fact. How can we use data to mine key factors affecting quality abnormalities in real-time to reduce production losses? Production abnormalities caused by multiple factors interacting make it difficult to find the root cause. How can big data and artificial intelligence help us find the root cause faster? The traditional quality abnormality resolution chain is long, and communication time costs are high. If there is a tool that allows front-line production engineers to model and analyze without coding, would you be willing to try it?

 

| Then this tool must be

 

GeekMind, a factor mining and modeling tool for industrial big data analysis, helps production engineers model efficiently and deeply mine data value. Using GeekMind, digital solutions such as quality analysis, quality prediction, and equipment predictive maintenance can be achieved.

Specifically divided into six modules: observation features, feature engineering, model building, model evaluation, model prediction, and template creation. It is powerful, and production engineers can easily model:

 

 

| Interactive analysis, insights into data

The first step in using GeekMind is to import data, interactively analyze, and understand the data. By selecting data or using legends to choose data, you can perform separate comparative analysis, modeling, and mining on the filtered data, as well as comparative analysis between upper and lower groups as shown below. You can continuously analyze and mine the data through the tool to understand it.

 

 

 

| Multiple methods to mine effective factors

The second step, autonomous feature mining, is very important. The quality of features determines the success of the model. You can choose feature mining methods yourself, and the operation is very simple. At the same time, GeekMind also provides automatic feature mining algorithms. Just check the possible algorithms for new feature construction to generate some important key features. The newly generated features will be added to the factor set and become the focus of user analysis.

 

 

 

| Industry's most intelligent algorithms, simple modeling process

GeekMind has regression models and classification models, with the most optional algorithm types in the industry. No coding is required; front-line production engineers can easily model by clicking.

 

 

After modeling, through key factor output, you can clearly understand what the key factors affecting the model are and how each key factor x is related to the target feature y. The model key factor list can be linked and jumped to, making it easy for users to perform root cause analysis on cases, making the model traceable and increasing explanatory information. 

 

 

| Pioneering model evaluation for easy decision-making

For front-line engineers, having models but not knowing how to choose is also a problem. To solve this, GeekMind pioneered the model evaluation function, scoring and evaluating each model, allowing you to instantly find the optimal model. 

 

 

| Model self-update, anomaly alert

After the model is deployed, it will still self-learn and self-update. You can set automatic update parameters. After updating, it will not directly overwrite the original model but will automatically generate a new model. Then, you just need to choose to switch or not based on需求.

 

 

If abnormalities occur, don't worry; the system can set多种报警规则 and alert you in real-time.

 

 

Currently, GeekMind has been applied in industries such as semiconductors, 3C electronics, communications, automotive parts, etc., and has achieved卓越的成效. If your company also encounters these problems, welcome to try starting with understanding GeekMind.

Contact us to apply to become the chief trial officer of GeekMind and have the opportunity to receive free production problem consultation and diagnosis services.