Data governance (DG) is a component of data management that focuses on managing access, use, quality and security of enterprise data. Data management in a data governance program is based on internal ...

It's not just about making AI smarter, but also about making sure people can trust it and understand how it works.

If you’re reading this, there’s a very good chance your organization’s approach to data governance is the exact opposite of what it should be for the AI era. If you’ve read my prior articles, you know ...

Board members and senior executives are reassessing data governance and risk management at the enterprise level, citing five practices that increase AI’s effectiveness, ...

As tools like generative AI become increasingly mainstream, the quality and accessibility of enterprise data has become more important than ever before. Many organizations are rethinking their data ...

Artificial intelligence is set to reshape how finance teams operate, but many finance leaders remain cautious about how far ...

A new guide for policymakers, “Data Policy in the Age of AI: A Guide to Using Data for Artificial Intelligence,” aims to educate leaders on responsible AI data use. The new white paper, from the Data ...

School districts collect vast amounts and varieties of data, from student performance and attendance to staff information and operational systems. Ideally, this data can enable informed ...

Whether implementing self-service dashboards, developing reporting processes to meet regulatory compliance, or defining BI strategy, one common challenge seems to arise: governance. When evaluating ...

A proposed policy seeks to create a State-run marketplace for datasets collected through platforms such as eCitizen and ...