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:
Jun. 16, 2026

Filed:

May. 25, 2022
Applicant:

S&p Global Inc., New York, NY (US);

Inventors:

Stanley Guzik, Ridgewood, NJ (US);

Prashant Desai, Princeton, NJ (US);

Anthony Sweet, Aurora, CO (US);

Anubhav Agarwal, Brooklyn, NY (US);

Gary Jones, London, GB;

Sunny Francis, Hyderabad, IN;

Debaprasad Satapathy, Hyderabad, IN;

Assignee:

S&P Global Inc., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01);
Abstract

A method, apparatus, system, and computer program code for dynamically modeling multi-tenant data in a machine learning platform. A recommendation engine receives a first data set from a user. The recommendation engine characterizes the first data set to determine data attributes and data characteristics of the first data set. The recommendation engine aligns the data attributes of the first data set with a second data set according to an ontology. Based on the data characteristics of the first data set, the recommendation engine identifies a set of pre-trained models that was trained from training parameters selected from data attributes and data characteristics of a second data set. The recommendation engine recommends the set of pre-trained models to the user.


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