AI governance is often treated as a policy problem: define approved uses, create an oversight framework, publish acceptable use rules, and ...

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 ...

Southern Africa is taking steps towards more harmonised data governance as countries seek to overcome fragmented frameworks, ...

Forbes contributors publish independent expert analyses and insights. I cover the intersection of people, risk, leadership and performance. This voice experience is generated by AI. Learn more. This ...

Gaining control over AI governance starts with understanding how enterprise data is accessed and used. Visibility into the operational data layer lays the foundation for accountability, enabling the ...

Explore the use of data governance in AI/ML systems, understand the challenges and discover the top tools to ensure data accuracy, trust and compliance in AI systems. Data governance plays a pivotal ...

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 ...

Ashok Mallempati's work in enterprise master data management has expanded into peer-reviewed research, international ...

Whether implementing self-service dashboards, developing reporting processes to meet regulatory compliance, or defining BI strategy, one common challenge seems to arise: governance. When evaluating ...

As information volumes swell, some companies are using newer platforms to manage and analyze increasingly complex data sets—and are adapting their governance programs accordingly. For decades, many ...