Darko Data. Digital governance. Artificial intelligence. These terms appear together so frequently in policy documents, legislative debates, and governance discussions that they can begin to feel ...

Is it better to monitor for quality or detect problems? It depends. Here’s how to choose between active and passive data governance. The goal of data governance is to enable data operations that can ...

Deepak Yadav is an Engineering Leader at Amazon, Data & ML expert, ex-Ask.com, formerly with Amdocs, and Data Influencer. Over the years, I’ve worked with organizations across industries—financial ...

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 ...

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 ...

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% ...

This section provides step-by-step guidance for getting started with data governance – how to assess the current situation, establish goals, and create a roadmap tailored to the agency’s needs. There ...

Technology and AI governance remains a top concern for corporate directors and executives in 2025 relative to safeguarding data, managing new technologies, and ensuring the necessary skills in the ...

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, ...

Trilateral Research’s Amelia Williams examines the gap between enterprise A.I. adoption and the quality of the data powering ...