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. 10, 2023

Filed:

Feb. 24, 2021
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Namit Kabra, Hyderabad, IN;

Krishna Kishore Bonagiri, Ambajipet, IN;

Mike W. Grasselt, Leinfelden-Echterdingen, DE;

Yannick Saillet, Stuttgart, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/25 (2019.01); G06K 9/62 (2022.01); G06F 16/951 (2019.01); G06F 16/21 (2019.01);
U.S. Cl.
CPC ...
G06F 16/258 (2019.01); G06F 16/213 (2019.01); G06F 16/256 (2019.01); G06F 16/951 (2019.01); G06K 9/6256 (2013.01);
Abstract

Techniques are described relating to automatic data standardization in a managed services domain of a cloud computing environment. An associated computer-implemented method includes receiving a dataset during a data onboarding procedure and classifying datapoints within the dataset. The method further includes applying a machine learning data standardization model to each classified datapoint within the dataset and deriving a proposed set of data standardization rules for the dataset based upon any standardization modification determined consequent to model application. Optionally, the method includes presenting the proposed set of data standardization rules for client review and, responsive to acceptance of the proposed set of data standardization rules, applying the proposed set of data standardization rules to the dataset. The method further includes, responsive to acceptance of the proposed set of data standardization rules, updating the machine learning data standardization model accordingly.


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