KL: Once we've found our targeted business initiatives and the data is ready to meet the needs of those initiatives, there are three major governance pillars we want to address for that data ...

The critical importance of data to the enterprise and the increasing focus on data-related risks by customers, investors, and ...

The ability to have meaningful interaction with quality data is our competitive edge. Purdue University's data governance strategy includes an executive data council, data governance board, and three ...

In the modern digital era, enterprises generate vast amounts of data, but traditional centralized architectures struggle to scale effectively. Data Mesh Architecture, as explored by Arun Vivek ...

To achieve that, DPA’s work is structured along three main pillars and corresponding goals that are foundational to its structure: (1) ‘Diagnose’ local realities and human problems with data and ...

There are various approaches to AI governance and regulation, and valuable lessons can be drawn from how different countries worldwide have handled data regulation and policies ...

A new study led by Amy Bogaard, Professor of European Archaeology, School of Archaeology, University of Oxford, reveals that high wealth inequality in human societies over the past 10,000 years was ...