Synthetic Data for AI: Definition, Risks, and Strategies
ABSTRACT :
Many machine learning projects fail because data scientists don’t have the right data. Techniques such as synthetic data is a novel algorithmic approach...
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ABSTRACT :
Many machine learning projects fail because data scientists don’t have the right data. Techniques such as synthetic data is a novel algorithmic approach...
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ABSTRACT :
Data Stewardship Experience strategies can meet several needs and remove the stigma of data governance as a rigid and bureaucratic gatekeeping discipline.
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ABSTRACT :
Consider key trends and challenges as you design an effective organizational architecture for data governance while generating value with pervasive...
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ABSTRACT :
This article outlines how and why data engineers perform tests on their work efforts as they use automated testing and monitoring tools.
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ABSTRACT :
This article describes how a data quality management framework helps data engineers create reliable data pipelines, data stores, and data lakes.
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