South Korea's evolving privacy framework pushes data-use boundaries by operationalizing pseudonymization for AI development.

Data governance must ensure users can trust data enough to move faster, make smarter decisions and build better products, services and AI-driven experiences.

With this new integration, Trust3 AI becomes a native trust layer for agentic applications built on Google Cloud - wrapping Gemini--based agents, ADK workflows, and Vertex AI Agent Builder experiences ...

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 ...

Generative AI systems operate differently enough that some assumptions underpinning today's governance approaches warrant ...

The explosion in usage of tools like ChatGPT—offering the promise of increased productivity and creativity—is pushing across both personal and professional boundaries. In fact, analyst firm Gartner ...

Does your existing data governance model align with your data and analytics strategies? 55% of data and analytics leaders surveyed reported the lack of standardized approach to data governance as the ...

The Beeck Center for Social Impact + Innovation at Georgetown University identified six archetypes of chief data officer ...

AI governance is not merely a regulatory requirement, but also the strategic infrastructure that enables sustainable ...

For more than two decades in sourcing and supply-chain architecture, we’ve watched industries scale only when their supply chains become predictable, certifiable and repeatable. Orbital and lunar data ...