公开(公告)号：US20220101061A1

公开(公告)日：2022-03-31

申请号：US17035162

申请日：2020-09-28

Applicant: ServiceNow, Inc.

Inventor： Virendra Kumar Mehta ,  Sriram Palapudi

IPC: G06K9/62 ,  G06N20/00 ,  G06F11/30

Abstract: An indication to enable machine learning prediction for a form that includes a plurality of data input fields is received and behavior associated with the form is monitored. One or more of the plurality of data input fields are automatically selected based on an analysis of the monitored behavior. For at least a portion of the selected one or more of the plurality of data input fields, one or more machine learning prediction models are automatically generated. At least a portion of the generated machine learning prediction models are allowed for use in providing one or more prediction results for one or more of the plurality of data input fields.

公开(公告)号：US11836268B2

公开(公告)日：2023-12-05

申请号：US17062409

申请日：2020-10-02

Applicant: ServiceNow, Inc.

Inventor： Virendra Kumar Mehta ,  Sriram Palapudi

IPC: G06F21/62 ,  G06F21/60 ,  G06N20/00 ,  G06F8/658 ,  G06F18/214

CPC classification number: G06F21/6227 ,  G06F8/658 ,  G06F18/214 ,  G06F21/602 ,  G06N20/00

Abstract: A request to perform a prediction using a machine learning model of a specific entity is received. A specific security key for the machine learning model of the specific entity is received. At least a portion of the machine learning model is obtained from a multi-tenant machine learning model storage. The machine learning model is unlocked using the specific security key and the requested prediction is performed. A result of the prediction is provided from a prediction server.

公开(公告)号：US20220108035A1

公开(公告)日：2022-04-07

申请号：US17062409

申请日：2020-10-02

Applicant: ServiceNow, Inc.

Inventor： Virendra Kumar Mehta ,  Sriram Palapudi

IPC: G06F21/62 ,  G06F21/60 ,  G06F8/658 ,  G06N20/00 ,  G06K9/62

Abstract: A request to perform a prediction using a machine learning model of a specific entity is received. A specific security key for the machine learning model of the specific entity is received. At least a portion of the machine learning model is obtained from a multi-tenant machine learning model storage. The machine learning model is unlocked using the specific security key and the requested prediction is performed. A result of the prediction is provided from a prediction server.