Generating and executing automatic suggestions to modify data of ingested data collections without additional data ingestion
Number of patents in Portfolio can not be more than 2000
United States of America
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Dec 31, 2024
Grant Date -
Dec 15, 2022
app pub date -
Jun 14, 2021
filing date -
Jun 14, 2021
priority date (Note) -
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Abstract
The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating automatic suggestions to effectively modify the organization of an ingested data collection without destruction of the underlying raw data. In particular, in one or more embodiments, the disclosed systems utilize multiple machine learning models in sequence to determine likelihoods that the organizational structure of an ingested data collection should be modified in various ways. In response to generating these likelihoods, the disclosed systems generate corresponding automatic suggestions to modify the organization of the ingested data collection. In response to a detected selection of one or more of the automatic suggestions, the disclosed systems read data out of the ingested data collection in accordance with the selected automatic suggestions to effectively modify the organization of the ingested data collection.
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