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.:
Date of Patent:
Apr. 16, 2019
Filed:
Jun. 19, 2015
Applicant:
Uptake Technologies, Inc., Chicago, IL (US);
Inventors:
Brad Nicholas, Wheaton, IL (US);
Jason Kolb, Plainfield, IL (US);
Assignee:
Uptake Technologies, Inc., Chicago, IL (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/07 (2006.01); G06N 5/04 (2006.01); G06N 7/00 (2006.01); G06Q 10/00 (2012.01); G06F 11/26 (2006.01); G06F 11/263 (2006.01); G08B 21/18 (2006.01); G06F 11/00 (2006.01); G01D 3/08 (2006.01); G01M 99/00 (2011.01); G06F 11/20 (2006.01); G06N 5/02 (2006.01); H04L 12/707 (2013.01); G06Q 10/06 (2012.01); G06Q 10/04 (2012.01);
U.S. Cl.
CPC ...
G06F 11/079 (2013.01); G01D 3/08 (2013.01); G01M 99/008 (2013.01); G06F 11/008 (2013.01); G06F 11/0709 (2013.01); G06F 11/0721 (2013.01); G06F 11/0751 (2013.01); G06F 11/0772 (2013.01); G06F 11/0787 (2013.01); G06F 11/0793 (2013.01); G06F 11/2007 (2013.01); G06F 11/26 (2013.01); G06F 11/263 (2013.01); G06N 5/02 (2013.01); G06N 5/04 (2013.01); G06N 7/005 (2013.01); G06Q 10/04 (2013.01); G06Q 10/067 (2013.01); G06Q 10/06312 (2013.01); G06Q 10/20 (2013.01); G08B 21/18 (2013.01); H04L 45/22 (2013.01); G06F 2201/85 (2013.01);
Abstract
Disclosed herein are systems, devices, and methods related to assets and predictive models and corresponding workflows that are related to the operation of assets. In particular, examples involve defining and deploying aggregate, predictive models and corresponding workflows, defining and deploying individualized, predictive models and/or corresponding workflows, and dynamically adjusting the execution of model-workflow pairs.