As technology and regulations evolve, enterprises need to address data governance throughout pipelines, models, and AI agents ...

Brett Conrad, VP of Public Sector at Box, discussed the shift from AI pilot projects to operational use in government ...

Another challenge arises from the pace of modern data environments. Cloud platforms, streaming pipelines and self-service ...

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

Organizations need to be less trustful of data given how much of it is AI-generated, according to new research from Gartner. As more enterprises jump on board the generative AI train — a recent ...

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 ...

Abstract: The increasing reliance on artificial intelligence (AI) and advanced analytics to gain competitive advantages has elevated the importance of robust data governance frameworks. This article ...

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

Artificial intelligence (AI) is transforming industries by automating processes, enabling smarter decisions, and unlocking new avenues for innovation. According to recent Semarchy research, 74% of ...

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 ...

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