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:
Jan. 17, 2023

Filed:

Nov. 08, 2019
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Pratip Samanta, Bangalore, IN;

Manash Jyoti Konwar, Dibrugarh, IN;

Keshav Bohra, Thane, IN;

Himani Shukla, Bangalore, IN;

Nagendra Kumar Karamala, Madanapalle, IN;

Madhura Shivaram, Bangalore, IN;

Amit Sharma, Thane, IN;

Sumeet Sawarkar, Nagpur, IN;

Swati Tata, Bangalore, IN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/957 (2019.01); G06F 40/103 (2020.01); G06N 20/00 (2019.01); G06F 40/169 (2020.01); G06Q 30/02 (2012.01); G06V 30/413 (2022.01); G06V 30/414 (2022.01);
U.S. Cl.
CPC ...
G06F 16/9577 (2019.01); G06F 40/103 (2020.01); G06F 40/169 (2020.01); G06N 20/00 (2019.01); G06Q 30/0276 (2013.01); G06V 30/413 (2022.01); G06V 30/414 (2022.01); G06Q 30/0244 (2013.01);
Abstract

Examples of a content alignment system are provided. The system may receive a content record and a content creation requirement. The system may implement an artificial intelligence component to sort the content record into a plurality of objects and for identifying an object boundary for each of the plurality of objects. The system may identify a plurality of images and implement a first cognitive learning operation to identify an image boundary for each of the plurality of images. The system may identify a plurality of exhibits and implement a second cognitive learning operation to identify a data pattern associated with each of the plurality of exhibits. The system may implement a third cognitive learning operation for determining a content creation model by evaluating the plurality of objects, the plurality of images, and the plurality of exhibits. The system may generate a content creation output to resolve the content creation requirement.


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