公开(公告)号：US11720826B2

公开(公告)日：2023-08-08

申请号：US16521185

申请日：2019-07-24

申请人： International Business Machines Corporation

发明人： Jinho Hwang ,  Larisa Shwartz ,  Hagen Völzer ,  Michael Elton Nidd ,  Rodrigo Otavio Castrillon

IPC分类号： G06N5/02 ,  G06N20/20 ,  G06N3/082 ,  G06F9/54 ,  G06F18/2413 ,  G06N3/044

CPC分类号： G06N20/20 ,  G06F9/541 ,  G06F9/542 ,  G06F18/2413 ,  G06N3/044 ,  G06N3/082

摘要： Techniques that facilitate feedback loop learning between artificial intelligence systems are provided. In one example, a system includes a monitoring component and a machine learning component. The monitoring component identifies a data pattern associated with data for an artificial intelligence system. The machine learning component compares the data pattern to historical data patterns for the artificial intelligence system to facilitate modification of at least a component of the artificial intelligence system and/or one or more dependent systems of the artificial intelligence system.

公开(公告)号：US20210133622A1

公开(公告)日：2021-05-06

申请号：US16670748

申请日：2019-10-31

申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION

发明人： Michael Elton Nidd ,  Hagen Völzer ,  Sander Plug ,  Larisa Shwartz

IPC分类号： G06N20/00 ,  G06F16/25 ,  G06N5/02

摘要： The invention relates to a computer-implemented method for processing events. The method provides a database comprising original event objects stored in association with canonical event objects. The method executes a learning algorithm on the associated original and canonical event objects for generating a trained ML program adapted to transform an original event object of any one of the one or more original data formats into a canonical event object having the canonical data format and uses the trained machine learning program for automatically transforming original event objects generated by an active IT-monitoring system into canonical event objects processable by an event handling system.

公开(公告)号：US20210027136A1

公开(公告)日：2021-01-28

申请号：US16521185

申请日：2019-07-24

申请人： International Business Machines Corporation

发明人： Jinho Hwang ,  Larisa Shwartz ,  Hagen Völzer ,  Michael Elton Nidd ,  Rodrigo Otavio Castrillon

IPC分类号： G06N3/04 ,  G06N3/08 ,  G06K9/62 ,  G06F9/54

摘要： Techniques that facilitate feedback loop learning between artificial intelligence systems are provided. In one example, a system includes a monitoring component and a machine learning component. The monitoring component identifies a data pattern associated with data for an artificial intelligence system. The machine learning component compares the data pattern to historical data patterns for the artificial intelligence system to facilitate modification of at least a component of the artificial intelligence system and/or one or more dependent systems of the artificial intelligence system.