- Patent Title: Exposing payload data from non-integrated machine learning systems
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Application No.: US16367572Application Date: 2019-03-28
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Publication No.: US11676063B2Publication Date: 2023-06-13
- Inventor: Lukasz G. Cmielowski , Bartlomiej T. Malecki , Rafal Bigaj , Maria H. Oleszkiewicz
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Keohane & D'Alessandro, PLLC
- Agent Eric Chesley; Hunter E. Webb
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06F16/901 ; G06N3/08 ; G06F16/00

Abstract:
Aspects of the present invention provide an approach for exposing payloads from non-integrated machine learning systems. A generic binding identifier is established to represent a machine learning (ML) system among a set of non-integrated learning systems. A generic subscription identifier is established to represent a deployed model in the ML system. Payload data including a user request, a response, the generic binding identifier, and the generic subscription identifier are received from the ML system and stored in a database for later analysis to identify any issues related to the deployed model.
Public/Granted literature
- US20200311598A1 EXPOSING PAYLOAD DATA FROM NON-INTEGRATED MACHINE LEARNING SYSTEMS Public/Granted day:2020-10-01
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