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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.

Patent No.:

US 11694124 B1

PDFFull Text
Date of Patent:
Jul. 04, 2023

Filed:

Jun. 14, 2019

Artificial intelligence (ai) based predictions and recommendations for equipment

Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Rajarajan Thangavel Ramalingam, Bangalore, IN;

Vladimir Valeryevich Ryabovol, Windham, NH (US);

Auri Priyadharshini Munivelu, Bangalore, IN;

Ramanathan Lakshmanan, Bangalore, IN;

Ravi Kanth Vinnakota, Bangalore, IN;

Sunil Kumara D S, Hassan District, IN;

Basavaraj Chidanandappa, Bangalore, IN;

Venkata Rama Krishna Perumalla, Chebrole, IN;

Assignee:

ACCENTURE GLOBAL SOLUTIONS LIMITED, Dublin, IE;

Attorney:

Mannava & Kang, P.C.

Primary Examiner:

Shannon S Campbell

Assistant Examiner:

Freda A Nelson

Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 20/20 (2019.01); G06Q 50/04 (2012.01); G06Q 30/0201 (2023.01); G06F 18/23 (2023.01); G06F 18/2113 (2023.01); G06F 18/21 (2023.01);
U.S. Cl.
CPC ...
G06N 20/20 (2019.01); G06F 18/2113 (2023.01); G06F 18/2185 (2023.01); G06F 18/23 (2023.01); G06N 20/00 (2019.01); G06Q 30/0206 (2013.01); G06Q 50/04 (2013.01);
Abstract

An Artificial Intelligence (AI)-based attribute prediction system generates predictions for attributes of highly customized equipment in response to received user requests. Processed historical data is initially used to generate feature combinations which are then employed along with a plurality of statistical and machine learning (ML) models in order to identify a best scoring model-feature combination in two selection cycles using multiple selection criteria. The predictions for an attribute are generated by the best scoring model and feature combination. Various insights regarding the features affecting the attribute can be additionally derived to provide recommendations to the user.

Find Patent Forward Citations

Ramalingam, Rajarajan. (2023). Artificial intelligence (ai) based predictions and recommendations for equipment (U.S. Patent No. 11694124). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11694124

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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