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Data architecture strategy for data quality

IBM Journey to AI blog

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Reduce data duplication and fragmentation.

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Data Quality in Machine Learning

Pickl AI

Key Components of Data Quality Assessment Ensuring data quality is a critical step in building robust and reliable Machine Learning models. It involves a comprehensive evaluation of data to identify potential issues and take corrective actions.