Yet, despite growing investments in advanced analytics and AI, organizations continue to grapple with a persistent and often underestimated challenge: poor data quality. Your role in addressing ...

The Bloomberg special report shows that the worst distortions often occur within 50 miles of a major data center, affecting ...

The same is true of using poor quality data, known to be the bane of the lives of data analysts, not to speak of organisations that yearn to be "data driven".

garbage out”, where a machine learning system is unable to produce credible results because of the poor quality of the data it was trained with. Biases in the data, such as under-representation ...

Two of the foundational elements of a successful AI use case are data governance and a comprehensive data culture. A strong data culture demands that human users think critically about AI output to ...