Zehra Cataltepe is the CEO of TAZI.AI an adaptive, explainable Machine Learning platform. She has more than 100 papers and patents on ML. First of all, data quality should always be measured in ...

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Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. A recent research report indicates that the global data quality solutions market is expected ...

Data quality assessments help you avoid introducing errors into your database. Learn how they work and why you need them. Image: Sikov/Adobe Stock Data quality assessments have the same goal that data ...

Trust is fragile, and that's one problem with artificial intelligence, which is only as good as the data behind it. Data integrity concerns -- which have vexed even the savviest organizations for ...

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.

It's time for spring cleaning, including your enterprise data stores, says data expert Joey D'Antoni, who offers front-line data-hygiene advice straight from the IT trenches. "Data can be one of our ...