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

Yale's Jeffrey Sonnenfeld and colleagues argue that Claude Mythos will break enterprise deployment in ways that cannot be ...

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 ...

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.

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 ...

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 ...

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, ...