Dr Gulzar Singh explains why data issues in banks rarely surface as technology outages but instead emerge when institutions are asked to explain outcomes under scrutiny ...

Without high-quality, well-governed data, every downstream AI initiative becomes fragile, expensive, inaccurate or downright ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. AI rarely fails because of bad models alone. More often it fails ...

Data lineage is the process of identifying the source of data, recording the transformations and flows of data over time, and visualizing data flow from sources to end users. Data lineage empowers ...

“The biggest problem organizations face around data management today actually comes from within,” according to Thomas Schutz, SVP, General Manager of Experian Data Quality. (Carmody, 2016)* According ...

In data-driven organizations, how team members build, manage and leverage their data catalog will make or break their analytical initiatives. If a business user can easily search their data catalog, ...