The goal of data governance is to ensure your organization’s data is business-ready: high-quality, accessible, secure, and ...

GenAI is transforming industries, but as it evolves, it requires a robust governance, risk and compliance strategy.

In a centralized governance framework, different data is categorized differently, with certain governance levels requiring, for example, additional metadata fields or a certain level of service.

Too many data-governance efforts are focused simply on using data to measure compliance, Stefaan G. Verhulst writes.

From the Human Genome Project to large-scale initiatives like the UK Biobank and The Cancer Genome Atlas (TCGA), the 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 rush to implement generative AI is creating ‘agent sprawl’ and data problems. Snowflake’s chief data analytics officer, ...

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 ...