Metadata-driven machine learning for systems
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United States of America Patent
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Jan 5, 2021
Grant Date -
Jan 11, 2018
app pub date -
Oct 7, 2016
filing date -
Jul 8, 2016
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Abstract
Training prediction models and applying machine learning prediction to data is illustrated herein. A prediction instance comprising a set of data and metadata associated with the set of data identifying a prediction type is obtained. The data and metadata are used to determine an entity to train a prediction model using the prediction type. A trained prediction model is obtained from the entity. A notification system may be configured to react to monitor contextual information and apply the prediction. A workflow system may automatically perform a function in a workflow based on prediction.
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