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.

Date of Patent:
Mar. 05, 2024

Filed:

Mar. 31, 2023
Applicant:

Intuit Inc., Mountain View, CA (US);

Inventors:

Bor-Chau Juang, Santa Clara, CA (US);

Eyal Shafran, Salt Lake City, UT (US);

Pratyush Kumar Panda, Livermore, CA (US);

Divya Beeram, Fremont, CA (US);

Linxia Liao, Palo Alto, CA (US);

Nicholas Johnson, Tucson, AZ (US);

Christiana Mei Hui Chen, San Francisco, CA (US);

Assignee:

Intuit, Inc., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01);
Abstract

Certain aspects of the present disclosure provide techniques for predicting activity within a software application using a machine learning model. An example method generally includes generating a multidimensional time-series data set from time-series data associated with activity within a software application. The multidimensional time-series data set generally includes the time-series data organized based on a plurality of time granularities. Using a machine learning model and the generated multidimensional time-series data set, activity within the software application is predicted for one or more time granularities of the plurality of time granularities. Computing resources are allocated to execute operations using the software application based on the predicted activity within the software application.


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