The Institutional Data Governance policy endorses the establishment of a data governance framework for managing the University’s institutional data resources. While all data captured in the course of ...

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 ...

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 ...

Data privacy is a necessity for K–12 schools, especially when managing student records around academic performance, attendance and health information. But data governance is also an essential ...

Principles-based AI governance establishes core ethical principles rather than specific rules, providing a flexible framework for responsible AI development and use. It focuses on high-level ...

Recent advancements in generative AI have brought conversations about AI governance to the forefront. Although many enterprises already created a framework for the use and deployment of AI and machine ...

As more organizations embrace AI, it is vital to document the policies and procedures that govern its use. Here are seven questions that define effective AI governance. “You can use whatever AI tool ...

Data Governance at ESF facilitates cross-unit collaboration to improve institutional data infrastructure and to ensure data integrity, security, and accessibility by establishing a set of data ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

In our world today, data powers everything: from artificial intelligence and innovation to connectivity and cybersecurity. AI technologies both intensify the demand for data and generate new forms of ...