Depending on the industry where AI is deployed, model data drift can have alarming consequences ranging from financial to ...

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 ...

Is it better to monitor for quality or detect problems? It depends. Here's how to choose between active and passive data governance. Image: Friends Stock/Adobe Stock The goal of data governance is to ...

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 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, ...

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 ...

Organizations need to be less trustful of data given how much of it is AI-generated, according to new research from Gartner. As more enterprises jump on board the generative AI train — a recent ...

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 ...