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:
May. 21, 2019

Filed:

Feb. 21, 2018
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Chung-Sheng Li, San Jose, CA (US);

Guanglei Xiong, Pleasanton, CA (US);

Emmanuel Munguia Tapia, San Jose, CA (US);

Kyle P. Johnson, Lawrence, KS (US);

Christopher Cole, San Anselmo, CA (US);

Sachin Aul, San Francisco, CA (US);

Suraj Govind Jadhav, Navi Mumbai, IN;

Saurabh Mahadik, Mumbai, IN;

Mohammad Ghorbani, Foster City, CA (US);

Colin Connors, Campbell, CA (US);

Chinnappa Guggilla, Bangalore, IN;

Naveen Bansal, Delhi, IN;

Praveen Maniyan, Kayamkulam, IN;

Sudhanshu A Dwivedi, Bangalore, IN;

Ankit Pandey, Bangalore, IN;

Madhura Shivaram, Bangalore, IN;

Sumeet Sawarkar, Nagpur, IN;

Karthik Meenakshisundaram, Bangalore, IN;

Nagendra Kumar M R, Bangalore, IN;

Hariram Krishnamurth, Chennai, IN;

Karthik Lakshminarayanan, Bengaluru, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04M 3/51 (2006.01); G06N 20/00 (2019.01); G06N 7/00 (2006.01); H04M 3/523 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06Q 30/00 (2012.01); G06N 5/02 (2006.01);
U.S. Cl.
CPC ...
H04M 3/5183 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06Q 30/00 (2013.01); H04M 3/5235 (2013.01); G06N 5/022 (2013.01); G06N 7/005 (2013.01); H04M 3/51 (2013.01); H04M 2203/403 (2013.01);
Abstract

A curator captures input data corresponding to service tasks from an external source. Further, a browser extension collects intermediate service delivery data for the service tasks from the external source. Subsequently, a learner stores the input data and the intermediate service delivery data as training data. Then, a receiver receives a service request from a client. The service request is indicative of a service task to be performed and information associated with the service task. Further, an advisor processes the service request to generate an intermediate service response. Thereafter, the advisor determines a confidence level associated with the intermediate service response and ascertains whether the confidence level associated with service response is below pre-determined threshold level. If the confidence level is below a pre-determined threshold level, the advisor automatically generates a final service response corresponding to service request based on training data.


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