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

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

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last updated:Nov 09, 2023

ニュートラル
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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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サムネイル_CMYKve2.png

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

サムネイル_CMYKve2.png
サムネイル_CMYKve2.png
  • Related Link - https://ntechs.jp/predict/

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basic information

【Other Features】 ■Assist user decision-making: XAI  ・Predict the future of data items using causal relationships + AI technology  ・White-boxing (displaying the reasons and causal relationships of predictions) ■Modern and user-friendly UX/UI design  ・Easy to understand and comfortable for users to use  ・Design that conveys an advanced image matching the functionality ■Simplification of data preprocessing  ・Automatic correction of data deficiencies: Automatic data deficiency correction feature  ・Users can also customize themselves: User customization with R scripts

Price information

Subscription license version (annual) ¥500,000 Perpetual license version ¥3,000,000 *Annual maintenance fee 10%

Price range

P3

Delivery Time

P3

Applications/Examples of results

[Uses] ■ Prediction of production equipment failures ■ Clarification of failure mechanisms ■ Estimation of causes of insufficient strength ■ Demand forecasting for procurement ■ Sales forecasting for sales planning ■ Prediction of electricity consumption ■ Prediction of air pollutant concentration, etc.

Detailed information

  • 因果探索.png

    Using causal exploration for inferring causes ⇒ Calculate using a causal exploration model to visualize the relationships within the entire dataset.

  • 時系列予測.png

    Prediction results and XAI features ⇒ Use the constructed prediction model to forecast the future. Visualize information that facilitates the interpretation of results through infographics.

  • 予知保全_運用.png

    Predictive maintenance ⇒ Create a predictive model by learning from abnormal data of equipment and machinery, and notify via email when signs of abnormalities are detected from daily data. It is also possible to estimate the cause by calculating the contribution of the data.

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

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

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Neutral Causal Exploration and Future Prediction Solution "NTech Predict"

Neutral Causal Exploration and Future Prediction Solution "NTech Predict"

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New Technology for AI Predictive Maintenance: Predicting Failures and Visualizing Causes

[New Technology for AI Predictive Maintenance] Predicting failures and visualizing their causes.

  • Seminar・Event

If you are looking to improve maintenance efficiency and reduce costs through predictive maintenance using the latest AI technology, please join us! (Preparing to file a patent for our unique algorithm) ■ Recommended for: - Those who want to implement AI predictive maintenance tools to reduce maintenance costs - Those who are already practicing predictive maintenance but want to enhance efficiency using AI - Those looking for predictive maintenance technology that can visualize and notify the causes of failures from predictions ■ Program: - Market trends in predictive maintenance - Benefits and considerations of predictive maintenance - New predictive maintenance processes using AI - Cause analysis of failures using causal exploration - Future outlook for predictive maintenance ■ Participation Benefits: All participants who complete the post-viewing survey will receive an early gift of a free trial version of the AI predictive maintenance tool! We will provide an early gift of the free trial version (30 days) of "NTech Predict [Ver2.0.0]" scheduled for release in September! Please feel free to join us! *The licensing format may differ from the production environment.

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Predictive Analysis of Data for Achieving Results - What is Time Series Forecasting? Use Cases and How to Get Started

Predictive Analysis of Data for Achieving Results - What is Time Series Forecasting? Use Cases and How to Get Started [Free Seminar]

  • Seminar・Event

If you are looking to improve and streamline your business through data analysis using AI, please join us! ===== Recommended for ===== - Marketing professionals who want to analyze market trends - Production management, quality control, and inventory management personnel in manufacturing and logistics who want to utilize data - DX promotion personnel who want to enhance operational efficiency using AI forecasting tools ===== Overview ===== In a situation where the economic climate and business environment remain uncertain, predictive analysis of data is essential for strategic planning. This seminar will explain the basics and how to get started with "time series forecasting," which is used for demand forecasting, sales forecasting, and production quantity forecasting. "Time series forecasting" is an analytical method for predicting data that changes over time. We will also introduce specific case studies and provide ideas for utilization. Furthermore, we will conduct a demo using the AI forecasting and causal exploration tool 'NTech Predict,' which allows for predictive analysis of data without specialized knowledge, to forecast sales from purchasing data. From the basics to the process of tool implementation, the content is designed to make it easy to start predictive analysis of data, so we hope you will join us!

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[Announcement of Web Seminar] "Visualizing the Relationship Between Causes and Effects Hidden in Data" - Clarifying causal structures to visualize causes and effects for predictions.

  • Seminar・Event

We would like to invite you to a seminar! We will be holding a seminar at Neutral on the following date. Since it will be held online, you can easily participate from your company or home, so please join us. Title: "Visualizing the Relationship Between Causes and Effects Hidden in Data" ~Clarifying causal structures to visualize causes and effects for predictions~ Date and Time: March 24 (Thursday) 17:00 - 18:00 Organizer: Neutral Inc. Tool: ZOOM ▼ Seminar Introduction In recent years, there has been a growing momentum to solve previously unresolved issues using advanced technologies such as data science and AI, and customer demands have become more sophisticated. Among these, there is a high demand for addressing issues such as uncovering causes and making future predictions. Our company has been conducting research and development since 2019 and released "QuickPredict" (beta version) in 2021. We will discuss the cause inference using the causal exploration feature of "QuickPredict" and its prediction capabilities. We understand you may be busy, but we sincerely look forward to your participation.

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Since its founding, Neutral has been dedicated to solving challenges in the manufacturing industry. Leveraging this expertise, we offer solutions for the manufacturing sector, including the "Quick Series," smart factory solutions utilizing IoT, and predictive solutions using AI, all aimed at addressing manufacturing challenges and enhancing productivity. We provide solutions that are easy to implement not only for large corporations but also for medium and small enterprises. ■Features - Fast, low-cost, high-quality services - High technical capabilities (strong in IoT and AI) - Over 20 years of experience in the manufacturing industry *When inquiring by phone, please mention "Ipros" TEL: 052-857-0381

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