Universities must establish governance over artificial intelligence applications to ensure the technology is used safely and ...

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

Organizations know that leveraging data and insights to inform decisions leads to better outcomes. Surprisingly, though, Forrester finds that fewer than 10% of enterprises are advanced in their ...

In the ever-evolving landscape of data management and utilization, it's crucial to address the prevailing myth that data governance and master data management (MDM) are disciplines strictly reserved ...

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 ...

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

For decades, data governance in regulated financial institutions has rested on a familiar foundation. Policies are documented ...

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 ...

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 ...

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 ...

In today’s rapidly evolving digital landscape, the value of data cannot be overstated. Data has become the lifeblood of innovation, driving decisions, shaping industries, and transforming how we live ...

As healthcare data grows more complex and cyber threats become more severe, the need for strong data governance and cohesive, system-wide analytics strategies has never been greater. Yet even today, ...