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:
Nov. 28, 2023

Filed:

Jul. 30, 2019
Applicant:

Redcritter Corp., Flower Mound, TX (US);

Inventors:

Robert M. Beaty, Flower Mound, TX (US);

Randy M. Whelan, Coppell, TX (US);

Erika D. Lambert, Flower Mound, TX (US);

David R. Jenness, Flower Mound, TX (US);

Dan D. Hoffman, Flower Mound, TX (US);

James L. Rockett, Jr., Carrollton, TX (US);

Assignee:

RedCritter Corp., Flower Mound, TX (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01);
Abstract

The complexity of implementing machine learning models in software systems can be reduced using an abstraction system. The abstraction system functions as an intermediary between a machine learning service and a client process. The abstraction system provides a unified API by which the client process can submit client requests targeting a machine learning model and also abstracts the complexity of configuring model requests in the appropriate form for a particular machine learning service and model. The abstraction system also provides a standard mechanism for delivering results to the client process in an actionable format and for tracking outcomes of any actions that the results trigger. The abstraction system therefore greatly simplifies the process of employing machine learning models within a software system.


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