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SYSTEM AND METHOD FOR OBSERVABILITY AND DATA AUDIT USING IMPLICIT DATA DEPENDENCY CAPTURE

InventionPending
1views
20Claims · 3 independent
§ Ⅰ

Dossier Overview

IPC Classification

G6F 8/35G6N 20/

CPC Classification

G6F8/35G6N20/

The disclosure is directed to systems, methods, and computer-readable media for observability and data audit using implicit data dependency capture. Data dependency information can be intercepted, for example, as a user trains or otherwise interacts with a machine learning (ML) model. Data dependency information can include information regarding files, data sources, inputs, outputs, storage buckets, storage directories, and/or other pertinent information. A log of the data dependency information can be reviewed to determine ML model provenance.

Original (Chinese)

The disclosure is directed to systems, methods, and computer-readable media for observability and data audit using implicit data dependency capture. Data dependency information can be intercepted, for example, as a user trains or otherwise interacts with a machine learning (ML) model. Data dependency information can include information regarding files, data sources, inputs, outputs, storage buckets, storage directories, and/or other pertinent information. A log of the data dependency information can be reviewed to determine ML model provenance.

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