Information about data quality helps potential data users to determine whether and how data can be used and enables the analysis and interpretation of such data. Providing data quality information ...

What Does Data Quality Mean? Data quality (DQ) is the degree to which a given dataset meets a user’s needs. Data quality is an important criteria for ensuring that data-driven decisions are made as ...

Have you ever had a set of reports that were distributed for years only to have your business users discover that the reports have been wrong all along and consequently lose trust in your data ...

Artificial Intelligence and Machine Learning technologies can significantly benefit industries of all sizes. According to a McKinsey report, businesses that employ artificial intelligence technologies ...

Nomenclature is important. Data governance, data integrity, and data quality are all widely used terms, but what do they actually mean and how are they connected? The purpose of this article is to ...

AI models are only as good as the data they're trained on. That data generally needs to be labeled, curated and organized before models can learn from it in an effective way. One ...

Companies are rolling out AI initiatives that will never deliver returns. Here's why that's a leadership problem — not a technology problem.

n artificial intelligence (AI) is only as useful as the data used to train it. Training AI with dubious data leads to questionable decisions. An AI project should thus give a thorough airing to ...