Responsible AI is an investment in long-term sustainability. The absence of governance can lead to model drift, eroding customer trust and increasing risk.

The end of the unstructured data problem perfectly encapsulates the transformative benefits and potential risks of agentic AI.

AI is changing data privacy faster than most organizations can govern it. Confluent's Peter Pugh-Jones explains why ...

For many CIOs, data governance has become synonymous with delay. Access requests move through ticketing systems, approvals stretch across weeks, and data ...

Austin, TX, Feb. 22, 2026 (GLOBE NEWSWIRE) -- infoCorvus today announced the continued evolution of its ROAD platform, a unified data lifecycle ...

How Governance-by-Design Frameworks Are Reshaping Responsible AI in Enterprise Systems As artificial intelligence cont ...

A resource from the MetroLab Network offers local governments guidance about data governance policy and best practices. The resource, titled Model Data Governance Policy & Practice Guide, offers ...

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 ...

Overview: Data governance drives higher analytics returns through better data quality and accountability.AI-powered monitoring enhances early risk detection and ...

Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. State government needs policies and procedures to ensure data is ...

Data governance is transforming the world of business and IT as organizations increasingly acknowledge and embrace the importance of data in the modern world. And this transformation significantly ...

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 ...