ALEXANDRIA, Va., Aug. 26 -- United States Patent no. 12,399,887, issued on Aug. 26, was assigned to Intuit Inc. (Mountain View, Calif.).
"Merging of dissimilar data structures having dissimilar data for generation of machine learning input" was invented by Raymond Chan (San Diego) and Anuj Kumar (San Diego).
According to the abstract* released by the U.S. Patent & Trademark Office: "A method including receiving a first and second data structures storing first and second data stored a first format and a second format. The first and second data are associated with a key. The first and second data and formats are dissimilar, but are related according to the key. A data conversion controller is applied to the first and second data structures ...