Data is the cornerstone of today’s economy, powering nearly every corporate system. Ethical businesses want to gather and use relevant insights from data to advance their business goals, but they also ...

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

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

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 ...

The new release reflects a growing demand for enterprise AI approaches that prioritize strong data foundations, ...

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 ...

As GenAI usage increases in the corporate world, many executives will likely have to answer this question from their boards: ...

AI governance cannot live solely within IT. It requires cross-functional oversight. Many institutions are creating AI ...