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Data Speaks for Itself: Data Validation – Data Accuracy Imposter or Assistant?
In my last article, “The Shift from Syntactic to Semantic Data Curation and What It Means for Data Quality” published in the August 2024 issue of this newsletter, I argued how the adoption of generative AI will change the focus and scope of data quality management (DQM). Because data quality is measured in the degree […]


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Author: Dr. John Talburt

Embracing Data and Emerging Technologies for Quality Management Excellence


In today’s rapidly evolving business landscape, the role of quality management (QM) is undergoing a significant transformation. No longer just a compliance checkbox, QM is emerging as a strategic asset that can drive continuous improvement and operational excellence. This shift is largely propelled by the adoption of intelligent technologies and the strategic use of data, […]

The post Embracing Data and Emerging Technologies for Quality Management Excellence appeared first on DATAVERSITY.


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Author: Anthony Hudson

Building Trust in the Digital Age: The Role of Data Verification


Data has famously been referred to as the “new oil,” powering the fifth industrial revolution. As our reliance on data-intensive sectors like finance, healthcare, and the Internet of Things (IoT) grows, the question of trust becomes paramount. Trust is a multifaceted issue when dealing with data and events, and one core component is data verification.  […]

The post Building Trust in the Digital Age: The Role of Data Verification appeared first on DATAVERSITY.


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Author: Blane Sims

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