Federal agencies are scaling AI for real-world impact from border security to data governance. Learn how AWS and Thundercat are powering the transformation.

Unlock the power of your data with an effective data governance framework for security, compliance, and decision-making. Data governance frameworks are structured approaches to managing and ...

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

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.

From the Human Genome Project to large-scale initiatives like the UK Biobank and The Cancer Genome Atlas (TCGA), the recent ...

The broad accessibility of AI tools means there is a massive need for good governance both by AI providers and the organizations implementing AI systems in their products.

Is it better to monitor for quality or detect problems? It depends. Here's how to choose between active and passive data governance.

Join us on Nov. 7 to discuss the challenges and questions around data governance and altruistic data sharing models.

Optimal data governance has several potential impacts on maintaining and continually improving an organization's customer experience.

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