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:
Feb. 06, 2024

Filed:

Jun. 02, 2021
Applicant:

At&t Intellectual Property I, L.p., Atlanta, GA (US);

Inventors:

James Fan, San Ramon, CA (US);

Al Hooshiari, Alpharetta, GA (US);

Dan Celenti, Holmdel, NJ (US);

Eric Forbes, Canton, GA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/00 (2023.01); G06Q 30/016 (2023.01); G06Q 10/0631 (2023.01); G06N 20/00 (2019.01); G06Q 10/0633 (2023.01); G06N 5/01 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/016 (2013.01); G06N 5/01 (2023.01); G06N 20/00 (2019.01); G06Q 10/0633 (2013.01); G06Q 10/06315 (2013.01);
Abstract

Concepts and technologies disclosed herein are directed to interpretation workflows for machine learning-enabled event tree-based diagnostic and customer problem resolution. According to one aspect, a system can receive a workflow construction specification derived from a machine learning-enabled event tree ('MLET'). The MLET can be generated for use by a customer service agent to resolve a customer problem. The workflow construction specification can include a plurality of objects, each of which represents a navigation path through the MLET. The system can traverse the workflow construction specification and can create a set of workflow creation commands based upon at least one policy. The system can generate a workflow visualization interpretation file based upon the set of workflow creation commands. The workflow visualization interpretation file can identify how the MLET derived a root cause of the customer problem. The system can then present the workflow visualization interpretation file to the customer service agent.


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