Organisations are beginning to implement zero-trust models for data governance thanks to the proliferation of poor quality AI ...

For today’s CISOs, the perimeter isn’t a firewall — it’s the data itself. Hybrid and multi-cloud architecture have created massive volumes of sensitive ...

Dataiku’s field chief data officer for Asia-Pacific and Japan discusses how implementing AI governance can accelerate ...

Many enterprise AI initiatives continue to struggle — with 95% failing to deliver ROI due to inadequate data infrastructure ...

In 2026, data governance has stopped tiptoeing around the edges of organizational strategy and stepped directly into the ...

Real-time insights and self-service analytics have become critical for survival in a rapidly evolving data landscape. Organizations are grappling with growing c ...

I'd like to take a step back and give a high-level view of what we're observing with our clients before answering the question, "What is AI model governance?" Financial institutions have data ...

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 ...

Data governance is required in order to protect personal data and to ensure that ethics are upheld. This may sound straightforward but it comes at a time when public trust in how ‘big business’ uses ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. The growing popularity of application development initiatives by technology-minded ...