Smart data curator

Human in the Loop ML Feedback
and Supervision on Data Quality
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Curation of expert feedback at scale

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Smart Data Curator

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Key features

Key Features-01
Fluid interactions

Intuitive interface with lucid visuals for search, curation, and feedback - all in one screen

Key Features-02
Search curation

Generate a "Target Curation Zone" through advanced visual search techniques

Key Features-03
Gamification

Breadcrumbs and progress cockpit
to track curation and maximize
yield

Key Features-04
Supervision

Feedback by experts for consistency, Data Dictionary persistence and ML model supervision

Key Features-05
Ecosystem integration

Open architecture components for data consumption, authentication, and integration

Key Features-06
Expandable and modular

Scalability and scope for feature expansion, integrations and model improvements

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