International Business Machines Corporation

Gaodan Fang

Evelyn Duesterwald

Punleuk Oum

Debashish Saha

Darrell Christopher Reimer

Waldemar Hummer

Benjamin W Herta

Anupama Murthi

Archit Verma

A method of using a computing device to manage a lifecycle of machine learning models includes receiving, by a computing device, multiple pre-defined machine learning lifecycle tasks. The computing device manages executing a management-layer software layer for the multiple pre-defined machine learning lifecycle tasks. The computing device further generates and updates a machine learning pipeline using the management-layer software layer.

Configurable and scalable machine learning model lifecycle operator

A computer-implemented method includes obtaining data associated with execution of a model deployed in a computing environment. At least a portion of the obtained data is analyzed to detect one or more failure conditions associated with the model. One or more restoration operations are executed to generate one or more restoration results to address one or more detected failure conditions. At least a portion of the one or more restoration results is sent to the computing environment in which the model is deployed.

Detection of failure conditions and restoration of deployed models in a computing environment

Growing community of inventors

Elmsford, NY, United States of America

Gaodan Fang