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. 07, 2024

Filed:

Jan. 19, 2022
Applicant:

Pwc Product Sales Llc, New York, NY (US);

Inventors:

Amit Dhir, San Jose, CA (US);

Henry Huang, New York, NY (US);

Michael Reid, Irvine, CA (US);

Pradnesh Deshmukh, Mumbai, IN;

Vasundhara Rungta, Mumbai, IN;

Prachi Agrawal, Mumbai, IN;

Pranati Dang, Bangalore, IN;

Tarun Sharma, San Jose, CA (US);

Vasudeva Sankaranarayanan, Chicago, IL (US);

Surya Turlapati, Bangalore, IN;

Mathew George, Bangalore, IN;

Assignee:

PwC Product Sales LLC, New York, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/28 (2019.01); G06F 16/2458 (2019.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 16/287 (2019.01); G06F 16/2462 (2019.01); G06F 16/285 (2019.01); G06N 20/00 (2019.01);
Abstract

Systems, methods, and graphical user interfaces (GUIs) for ingesting and enriching data regarding a plurality of entities are provided. A first data set comprising company data and a second data set comprising customer data are ingested. The first data set is processed to generate a processed data set. The first data set may be processed by applying an entity matching technique, wherein one or more data elements are generated based on whether an entity of the first data set and an entity of the second data set are commonly associated. The first data set may additionally or alternatively be processed by applying a statistical matching technique, wherein one or more predicted data elements are generated based on similarity between an entity of the first data set and one or more entities of the second data set.


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