How TimeGPT Transforms Predictive Analytics with AI

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How TimeGPT Transforms Predictive Analytics with AI
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Get an overview of TimeGPT, and learn how to boost any prediction using MindsDB plus AI models from Nixtla.

AI has radically reshaped predictive analytics, making forecasting more precise than ever before. Businesses in all industries are taking advantage, capitalizing on AI’s wide-ranging capabilities to anticipate future trends and prepare for what’s coming around the corner. The accuracy of any forecast hinges on a number of factors: the sophistication of , the robustness of predictive models, and the quality and quantity of the data they’re trained on, to name a few.

timegpt_engine FROM timegpt USING timegpt_api_key=‘timegpt-api-key’; Next, users can employ the statement to create, train, and deploy the TimeGPT model. model_table FROM data_source PREDICT column_to_be_predicted ORDER BY date_column GROUP BY column_name, column_name, ... HORIZON 3 -- model forecasts the next 3 rows USING ENGINE='timegpt_engine'; Now you can query the model to get forecasts: SELECT m.date_column, m.column_to_be_predicted FROM data_table AS d JOIN model_table AS m WHERE d.date_column > LATEST; With MindsDB, you can automate forecasts and generate them constantly for any downstream usage.

automate_forecasts ; CREATE TABLE daily_forecasts_{{START_DATETIME}} ) EVERY 1 day; To see a complete example, visit our . You can find more . docs page here forecasting use cases here How to use TimeGPT in predictive analytics Companies must be agile enough to react to minute-by-minute market changes. Using predictive analytics techniques, such as those enabled by TimeGPT, will help keep you a step ahead and even give you a competitive advantage.

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