The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Sep. 17, 2024
Filed:
Jul. 25, 2022
Applicant:
Nowcasting.ai, Inc., New York, NY (US);
Inventor:
Damian Ariel Scavo, Assisi, IT;
Assignee:
NOWCASTING.AI, INC., Palo Alto, CA (US);
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/0633 (2023.01); G06F 16/215 (2019.01); G06F 16/2458 (2019.01); G06F 16/25 (2019.01); G06F 16/28 (2019.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01); G06Q 10/0639 (2023.01); G06Q 30/0202 (2023.01); G06Q 30/0282 (2023.01); G06Q 40/04 (2012.01); G06Q 40/06 (2012.01); G06Q 40/12 (2023.01); H04L 67/55 (2022.01); G06N 3/084 (2023.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/215 (2019.01); G06F 16/2465 (2019.01); G06F 16/254 (2019.01); G06F 16/258 (2019.01); G06F 16/285 (2019.01); G06N 3/08 (2013.01); G06Q 10/0633 (2013.01); G06Q 10/06393 (2013.01); G06Q 30/0202 (2013.01); G06Q 30/0282 (2013.01); G06Q 40/04 (2013.01); G06Q 40/06 (2013.01); H04L 67/55 (2022.05); G06N 3/084 (2013.01); G06Q 40/12 (2013.12);
Abstract
A computer-implemented method includes a method comprising using at least one hardware processor to: receive a plurality of data from a plurality of data sources; standardize the plurality of data; tag the standardized plurality of data with one or more companies; train a prediction model to predict a metric for each of the one or more companies based on the standardized plurality of data tagged with that company and historical measurements for that company; and apply the prediction model to new data to predict the metric for at least one of the one or more companies.