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Conservation Tools - List of Manufacturers, Suppliers, Companies and Products

Conservation Tools Product List

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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.

  • Other core systems

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Predictive maintenance tool

Protecting the health of machinery for a trouble-free production environment. Optimizing equipment operating rates to achieve zero unexpected failures.

Compass is a digital platform that supports the optimization and efficiency of processes across various industries through data integration, analysis, and visualization. For example, by utilizing the component library feature, it is possible to quickly deploy standardized analysis modules and dashboards, enabling simple and effective visualization of anomaly detection and maintenance. In this way, predictive maintenance of equipment can prevent unexpected failures by early detection of machine anomalies and implementing planned maintenance. 【Features】 ■ High Usability: Components are reusable and easy to use, which improves work efficiency and saves time and effort. ■ Ensured Consistency: Components within the library are created based on unified design guidelines, maintaining a consistent design throughout the project. This leads to improved user experience and brand cohesion.

  • Document and Data Management

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