Responsible organizations understand that privacy governance is essential for the systematic and compliant management of personal data and for maintaining customer and stakeholder trust. In a world ...

Data Governance (DG) is the systematic approach to managing, organizing, and securing an organization’s data assets. For a long time, large organizations were the ones mainly concerned with this topic ...

While companies may share common ground when it comes to their data quality problems, data quality tools and strategies are not one-size-fits-all solutions to the problem. Each company should approach ...

For decades, data governance in regulated financial institutions has rested on a familiar foundation. Policies are documented ...

Data is a vital asset for modern organizations, providing insights that drive strategic decision making. And the amount of data created, consumed and stored is only increasing. Without proper ...

Overview of the Agentic Trust Framework (ATF), an open governance spec applying Zero Trust to autonomous AI agents, with ...

Absent a comprehensive federal AI framework, agencies should be guided by four governance priorities. While the federal ...

Is it better to monitor for quality or detect problems? It depends. Here's how to choose between active and passive data governance. Image: Friends Stock/Adobe Stock The goal of data governance is to ...

A phased guide to AI governance in cloud-native systems, aligning ISO 42001:2023 and NIST AI-RMF with lifecycle controls, ...

Forbes contributors publish independent expert analyses and insights. The path to enterprise AI maturity runs directly through data. However, constructing AI-ready data platforms is more than just a ...