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

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

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 ...

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 ...

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 ...

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 ...

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 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 ...

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 ...

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, ...

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 ...