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

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 ...

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 ...

Ashley Casovan, managing director of the IAPP’s AI Governance Center, on how AI is reshaping who does governance work and how ...

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 ...

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% ...

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 ...

China's data exchanges traded 87.7B yuan in 2022, projected to hit 515.6B by 2030. Its Digital Silk Road exports governance with infrastructure. The GDPR has no equivalent.