Integrated Machine Learning for a Data Management Product

Grant Number	Publication Date	Publication Number	Filling Date	Inventors
10423889	Jul 10, 2014	20140195466	Jan 8, 2014	Milind Zodge, Kelly Phillipps, Richard Wellman

Apparatuses, systems, methods, and computer program products are disclosed for machine learning in a data management product. The apparatus includes an input module, a learned function module, and a results module. The input module is configured to receive an analysis request for the data management product. The learned function module is configured to execute one or more machine learning ensembles to predict one or more unknown values for the data management product. The result module is configured to provide native access, within the data management product, to the one or more unknown values.

 

Integrated Machine Learning for Data Management Product

Publication Date	Publication Number	FIlling Date	Inventors
July 10, 2014	20140195466	January 8, 2014	Milind Zodge, Kelly Phillipps, Richard Wellman

Apparatuses, systems, methods, and computer program products are disclosed for machine learning in a data management product. The apparatus includes an input module, a learned function module, and a results module. The input module is configured to receive an analysis request for the data management product. The learned function module is configured to execute one or more machine learning ensembles to predict one or more unknown values for the data management product. The result module is configured to provide native access, within the data management product, to the one or more unknown values.

 

Machine Learning for Systems Management

Publication Date	Publication Number	Filling Date	Inventors
Jun 26, 2014	20140180738	Dec 21, 2012	Milind Zodge, Kelly Phillipps, Richard Wellman, Bradley W. Jones

An apparatus, system, method, and computer program product are disclosed for systems management. The method includes receiving user information and systems management data as machine learning inputs. The user information labels a state of one or more computing resources. The method includes recognizing a pattern, using machine learning, in the systems management data. The method includes modifying a configuration of a systems management system based on the labeled state and the recognized pattern.