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Northspyre Assigned Patent

Optimizing project data storage

Northspyre, Inc., Brooklyn, NY, has been assigned a patent (12164485) developed by Sankey, William, Atlanta, GA, and Phinney, Matthew, Brooklyn, NY, for techniques for optimizing project data storage.

The abstract of the patent published by the U.S. Patent and Trademark Office states: “Techniques for optimizing project data storage are disclosed. An example system includes processors and memories communicatively coupled with the processors storing a trained machine learning (ML) model, a nesting data module, a project database, and instructions that cause the processors to: receive a first data category corresponding to a project, execute the trained ML model to determine a predicted data category mapping for the first data category, execute the nesting data module to: input the first data category into a first table having a first file size, collapse the first table with a second table that includes a second data category that is related to the first data category to generate a nested table, and store the nested table in the project database. The nested table has a file size that is less than a combined file size of the first table and the second table.

The patent application was filed on 2024-01-26 (18/423710).

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