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:
Apr. 09, 2024

Filed:

Oct. 06, 2020
Applicant:

Actimize Ltd., Ra'anana, IL;

Inventors:

Debabrata Pati, Pune, IN;

Pravin Dahiphale, Pune, IN;

Danny Butvinik, Haifa, IL;

Assignee:

ACTIMIZE LTD., Ra'anana, IL;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/25 (2019.01); G06F 18/214 (2023.01); G06F 21/62 (2013.01); G06N 3/045 (2023.01); G06Q 50/26 (2012.01);
U.S. Cl.
CPC ...
G06F 18/2148 (2023.01); G06F 16/254 (2019.01); G06F 21/6245 (2013.01); G06N 3/045 (2023.01); G06Q 50/26 (2013.01);
Abstract

A computerized-method for scaling automatic deployment of a machine-learning detection model in a cloud-based managed analytics service by knowledge sharing to overcome an imbalanced dataset learning problem. The computerized-method includes: sending the received data to machine-learning models to synthesize patterns of the received data to yield a differential privacy data; maintaining in the database the differential privacy data of one or more on-prem cloud-based managed analytics services to generate a consortium shared synthetic data lake; operating phases of machine-learning detection model based on the received data and data in the database to create a packaged model. The data in the database is aggregated and used during the operating phases of the machine-learning detection model to create a packaged model for other on-prem cloud-based managed analytics services, thus overcoming imbalanced dataset learning thereof, and after the packaged model is created it is automatically deployed on-prem.


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