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While data is plentiful, much of it is of a poor quality—leading to unhelpful insights and ineffective data analytics initiatives.

Fortunately, data labeling can help organizations track data across its lifecycle and identify inefficiencies and errors.

Read this white paper to discover how active learning can automate data labeling and improve data governance and quality management, ultimately boosting data science programs and results.

Vendor:

Dataiku

Posted:

Mar 15, 2021

Published:

Mar 3, 2021

Format:

PDF

Type:

White Paper