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 ...

As artificial intelligence adoption accelerates, so do concerns around effective data governance — and nowhere is that truer ...

While business and IT leaders readily acknowledge now that data is a business imperative, a patchwork of legacy systems and point solutions has left organizations vulnerable, reactive and unable to ...

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 ...

Organizations increasingly depend on accurate insights from their data to drive decisions, fuel innovation and maintain their competitive edge. Yet, the ability to extract meaningful, high-quality ...

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 ...

To reduce the threat of model loss, synthetic data corruption and insight erosion, CXOs must create a new class of "AI-aware" ...

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 ...