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AI prediction, causal exploration, and predictive maintenance tool 'NTech Predict'

Predictable with one click! It estimates causes from data, forecasts the future, predicts equipment failures, and leads to problem resolution.

Do you have concerns such as wanting to "find the cause" or "make predictions for countermeasures" or "utilize data"? "NTech Predict" leads you to solutions for problems such as estimating causes from data, forecasting the future, and predicting equipment failures. It features a simple interface that requires no specialized knowledge and can be easily utilized. 【Features】 ■ Time Series Forecasting Predicts the future of data that changes over time, such as demand, sales, and customer numbers. ■ Causal Exploration Visualizes the cause and effect (causal relationships) between data that are not visible. * Applies the "LiNGAM model" by Professor Shohei Shimizu of Shiga University’s Faculty of Data Science. ■ Predictive Maintenance Monitors vast amounts of observational data to predict abnormalities in equipment. AI detects signs of failure and notifies via email. Causes are also visualized. 【Characteristics】 ■ Simple Interface: No specialized knowledge required, intuitive to use. ■ Causal Exploration: Implements the LiNGAM model. ■ Simple Usability: Just import CSV files and click. * We are currently offering a 30-day free trial version. If you are interested, please mention this in your "Contact Us" request.

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