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:
Mar. 07, 2023

Filed:

Jan. 30, 2020
Applicant:

Dell Products L.p., Round Rock, TX (US);

Inventors:

Hung T. Dinh, Austin, TX (US);

Sandeep Govindraj, Round Rock, TX (US);

Ranjani Muthyam Venkata, Leander, TX (US);

Sabu K. Syed, Austin, TX (US);

Kannappan Ramu, Frisco, TX (US);

Assignee:

Dell Products L.P., Round Rock, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/06 (2023.01); G06N 20/20 (2019.01); G06F 17/18 (2006.01); G06N 3/08 (2023.01); G06F 40/30 (2020.01); G06N 20/00 (2019.01); G06N 3/10 (2006.01); G06N 3/086 (2023.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 40/30 (2020.01); G06N 3/086 (2013.01); G06N 3/10 (2013.01); G06N 20/00 (2019.01);
Abstract

Methods, apparatus, and processor-readable storage media for data integration demand management using artificial intelligence are provided herein. An example computer-implemented method includes obtaining at least one data integration demand, wherein the at least one data integration demand comprises textual information provided by at least one user; determining multiple parameters of the at least one data integration demand by applying one or more machine learning natural language processing techniques to at least a portion of the textual information provided by the at least one user; generating at least one delivery date prediction for the at least one data integration demand by applying one or more artificial intelligence techniques to the multiple determined parameters of the at least one data integration demand; and performing one or more automated actions based at least in part on the at least one generated delivery date prediction.


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