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 ...

Is it better to monitor for quality or detect problems? It depends. Here's how to choose between active and passive data governance. Image: Friends Stock/Adobe Stock The goal of data governance is to ...

The COVID crisis has shown that ethical and effective uses of data and increased sharing of data can save lives and can be critical for society as a whole (by contrast to the use of data made by ...

Achieving business success today increasingly depends on getting the right information at the right time — so people can make decisions at the speed of business and intelligent agents can take the ...

Unverified and low-quality data generated by artificial intelligence (AI) models – often known as AI slop – is forcing more security leaders to look to zero-trust models for data governance, with 50% ...

A blended approach combines centralized policy compliance with decentralized flexibility. In association withCapital One Data governance has historically been a serious bottleneck for analytics. While ...

While AI has been used in enterprise and consumer products for decades, only large tech organizations with sufficient resources were able to implement it at scale. In the past few years, advances in ...

Data governance is an umbrella term encompassing several different disciplines and practices, and the priorities often depend on who is driving the effort. Chief data officers, privacy officers, ...