Active learning: Improve data quality and governance
How to Improve Data Quality
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.