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

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

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

Governments and industries are advancing new approaches to data governance, from the EU’s digital sovereignty agenda to cryptographic identity in banking and AI agent oversight. These moves aim to ...

Generative AI is designed to amplify user potential while still requiring users to evaluate its results. If a chatbot's output is insufficient or ill-advised, an employee using it for a business task ...

A new guide for policymakers, “Data Policy in the Age of AI: A Guide to Using Data for Artificial Intelligence,” aims to educate leaders on responsible AI data use. The new white paper, from the Data ...

Governments, industries, and enterprises are accelerating AI and data governance efforts, but divergent regulations and emerging technologies are creating complex compliance challenges. From Europe's ...

Opinion Tribal nations are entering a new phase of sovereignty — one defined not just by land and resources, but by control ...

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 State University of New York College of Environmental Science and Forestry (SUNY ESF) strives to establish an essential framework for the necessary control and enforcement mechanisms of ...

As tools like generative AI become increasingly mainstream, the quality and accessibility of enterprise data has become more important than ever before. Many organizations are rethinking their data ...

CU Boulder collects, uses and maintains a significant amount of data. This includes, but is not limited to student, employee, research and finance data. Institutional data supports CU Boulder’s ...