Organisations are beginning to implement zero-trust models for data governance thanks to the proliferation of poor quality AI-generated data, often known as AI slop.

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 ...

Optimal data governance has several potential impacts on maintaining and continually improving an organization's customer experience. Data is the lifeblood of an organization. Customers and employees ...

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

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 ...

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 ...

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 ...

Data governance impacts both internal and external audiences. Viewing data as an enterprise – not individual – asset is the first step towards a strong program. The benefits of a solid data governance ...

Why is data literacy important to data governance? Your email has been sent Data literacy is a key component of data governance. Learn why it’s important to data ...