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:
May. 26, 2020

Filed:

Feb. 04, 2019
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Perikles Rammos, Dublin, IE;

Cian O'Hagan, Dublin, IE;

Eoghan Kidney, Dublin, IE;

Shannon Power, Dublin, IE;

Navdeep Sharma, Dublin, IE;

Shane O Meachair, Dublin, IE;

Finbarr S. Tarrant, Dublin, IE;

Richard Mcniff, Dublin, IE;

Sarah Healy, Dublin, IE;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 19/00 (2011.01); G06K 9/62 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06T 19/006 (2013.01); G06K 9/6256 (2013.01); G06N 20/00 (2019.01);
Abstract

Systems and methods for predictively responding to real-time sensor data from an computer-augmented environment are provided. A system may receive sensor data from the computer-augmented environment. The system may obtain a feature model, a prediction model, and a filter criteria. The system may derive, based on the feature model and the sensor data, a first event. The system may determine the first event is associated with an authorized event identifier in the filter criteria. The system may forecast, based on the authorized event identifier and the prediction model that a second event occurs after the first event. The system may transmit an action message to the computer-augmented environment, the action message indicative of the second event. Updates to the feature model, the prediction model, and/or the filter criteria may occur in batch using machine learning and statistical analytics while the real-time platform predictively responds to the sensor data.


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