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% ...

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

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

Unlock the power of your data with an effective data governance framework for security, compliance, and decision-making. Data governance frameworks are structured approaches to managing and utilizing ...

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 ...

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 ...

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 ...

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.

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, ...