Mitigating the Risk of Bias in Synthetic Data for AI
ABSTRACT :
Companies need to monitor and address biases that synthetic data generation techniques can introduce into artificial intelligence (AI) models.
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ABSTRACT :
Companies need to monitor and address biases that synthetic data generation techniques can introduce into artificial intelligence (AI) models.
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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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