Artificial intelligence (AI) is transforming how companies across industry sectors and geographies govern data. This means that updating data governance frameworks to reflect AI integration is ...

Collecting data is useless without having a plan for how you will use that data and how you will keep that data safe and complete. Data needs to be treated consistently across all departments and ...

Organizations all over the world—and in different sectors—are discovering three specific actions with data governance frameworks that lead to success. The first published data governance framework was ...

In the ever-evolving AI landscape, the challenge of unifying AI and data integration is more critical than ever. This process, in my experience, can be incredibly complex due to the nature of ...

Data Governance (DG) is the systematic approach to managing, organizing, and securing an organization’s data assets. For a long time, large organizations were the ones mainly concerned with this topic ...

A new blueprint from the global HR research and advisory firm highlights that in the future of work, developing data governance practices helps ensure information collected is high quality and builds ...

Responsible organizations understand that privacy governance is essential for the systematic and compliant management of personal data and for maintaining customer and stakeholder trust. In a world ...

Data is a vital asset for modern organizations, providing insights that drive strategic decision making. And the amount of data created, consumed and stored is only increasing. Without proper ...