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 ...

Overview: Enterprises are depending on AI-powered data governance software to ensure data quality, security, and compliance across complex environments.Top solu ...

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 ...

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 ...

It’s time to stop viewing data as a by-product of operations and treat it as a strategic asset, an essential resource ...

Every day, our digital interaction leaves a trail of sensitive information. As many organizations now rely on cloud services and digital platforms, the volume of data—and, with it, the associated ...

India's AI framework proposes a layered, lifecycle approach. But how will it work in practice, and what challenges does it ...

Dataiku’s field chief data officer for Asia-Pacific and Japan discusses how implementing AI governance can accelerate ...