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AI prediction/causal search/predictive maintenance tool NTech Predict-NTech Predict
AI prediction/causal search/predictive maintenance tool NTech Predict-Neutral Co., Ltd.

AI prediction/causal search/predictive maintenance tool NTech Predict
Neutral Co., Ltd.

About This Product

■Predictive maintenance

Monitor daily data and automatically detect signs of failure. Monitors a huge amount of observation data every day and visualizes the occurrence of abnormalities and the timing of parts replacement. AI detects signs that may lead to failure and notifies you via email. Automatically inputs observation data from sensors attached to equipment, predicts when failure or deterioration will occur, and notifies you via email. By displaying the contribution of feature values, it is possible to infer which equipment is the cause of the failure. In addition, by creating a maintenance plan for the target equipment before an abnormality occurs, maintenance costs can be reduced and deviations in production plans can be minimized.

■Time series prediction

Predict the future from past data. It can be used to predict data that changes over time, such as demand forecasts, sales/power consumption forecasts, etc. It automates the work of data scientists and assists them in formulating optimal plans with no waste. AI automatically analyzes time-series data that changes over time and predicts what may happen in the future. The degree of influence of each data is also calculated, so you can understand the factors that affect the prediction. It is also possible to automatically generate highly accurate models that are equivalent to predictive models created by data scientists.

■Cause and effect search

Visualize data relationships. Visualize cause and effect between invisible data. The direction and strength of the relationship is displayed in a chart, creating awareness for investigating the cause. Visualize relationships between objective data without relying on human intuition. It also supports discrete values ​​and derives causal relationships. When different observation conditions coexist, clustering can be performed to separate the data. We provide the information necessary for countermeasures and solutions to the cause. For the analysis, we applied Professor Shohei Shimizu's ``Statistical Causal Search (LINGAM model)'' from Shiga University's Faculty of Data Science. Features

■No skills required. Easy analysis with one button

With a completely no-code, simple UI, anyone can easily use it with intuitive mouse operations. Even if you do not have specialized knowledge, you can immediately analyze a CSV file (sjis, UTF-8).

■Data cleansing that automatically corrects data deficiencies

Automatically corrects deficiencies, such as automatically removing character strings such as units and symbols, and filling in missing data. Streamline labor-intensive data preprocessing work.

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    AI prediction/causal search/predictive maintenance tool NTech Predict

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1 Models of AI prediction/causal search/predictive maintenance tool NTech Predict

Image Part Number Price (excluding tax) Memory Browser OS HDD/SSD free space CPU
AI prediction/causal search/predictive maintenance tool NTech Predict-Part Number-NTech Predict

NTech Predict

$ 2,080.00〜

16GB or more

Google Chrome, Microsoft Edge

Windows 10/11

512GB or more

Intel Core i7 3GHz equivalent or higher

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About Company Handling This Product

Neutral Co., Ltd.

  • Japan

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Multivariate Analysis Software　Neutral Co., Ltd.
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