Convenient way to develop AI
Develop AI in one click without any coding. Open a new world of possibilities with CLICK AI, an AI automatic development solution.
Develop AI in one click without any coding. Open a new world of possibilities with CLICK AI, an AI automatic development solution.
The goal of time series modeling is to predict future performance from past behaviors, such as forecasting sales over the holidays, forecasting the number of employees needed for the coming week, or meeting manufacturing demand without overstocking. The present is influenced by the past, and the present is a factor that affects the future. Data analysis, including this flow of time, is challenging and challenging.
CLICK AI TIME SERIES™ is specialized for time series analysis/prediction with automation of features for processing time series variables based on CLICK AI TABULAR™. A variety of specializations for time series prediction/analysis are added to make it easier to use.
For Time Series Analysis/Predictions, it is important to set the appropriate time units, from minute to month.
Based on the results of deep learning-based data analysis, it automatically generates a prescriptive analysis report based on the value of TOP3, which is most affected by the predicted value, and finds a solution from a business point of view.
Outputs a highly relevant column for predicted values through eXplainable AI (XAI). This allows non-professionals to intuitively understand the results of the analysis and plan the action strategies needed to achieve their goals.
For more in-depth professional data analysis by experts, we automatically generate and provide recommended visualization graphs such as distribution maps, histograms, and box graphs based on the analysis results.
After data analysis, deep learning-based AI will be able to perform data predictions based on the analysis results. The results of the analysis can help you determine the direction, and the predictions can help you prepare for concrete action.
CLICK AI TIME SERIES™ is specialized for time series analysis/prediction with automation of features for processing time series variables based on CLICK AI TABULAR™. A variety of specializations for time series prediction/analysis are added to make it easier to use.
For Time Series Analysis/Predictions, it is important to set the appropriate time units, from minute to month.
Based on the results of deep learning-based data analysis, it automatically generates a prescriptive analysis report based on the value of TOP3, which is most affected by the predicted value, and finds a solution from a business point of view.
Outputs a highly relevant column for predicted values through eXplainable AI (XAI). This allows non-professionals to intuitively understand the results of the analysis and plan the action strategies needed to achieve their goals.
For more in-depth professional data analysis by experts, we automatically generate and provide recommended visualization graphs such as distribution maps, histograms, and box graphs based on the analysis results.
After data analysis, deep learning-based AI will be able to perform data predictions based on the analysis results. The results of the analysis can help you determine the direction, and the predictions can help you prepare for concrete action.
The price of agricultural products changes in demand and supply over a period of time, and the prediction of price changes is important. Time series data predictions allow you to analyze the price variability of agricultural products over time and adjust their supply to meet demand.
Stock price data is one of the most important data for time attributes. You can predict future variability by learning historical variability trends.
Managing the inventory of seasonal products is the most important part of optimizing administrative costs. Time series predictions help you predict inventory volatility and create more accurate inventory management strategies.
CLICK AI's AutoML provides the automatic development of artificial intelligence, which is suitable for each type of data.
Automates the creation of advanced deep learning models combined with leading data science expertise.
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Automates the development of sophisticated time series models that predict the value of continuous data based on history and trends.
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Based on image data, AI recognizes specific objects or defective products.
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Understand words, sentences to recognize the user's feelings or errors in the contract.
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