Governance failure always shows up the same way: the gap between what leaders believe they are doing and what the data can ...

A strong data governance foundation is essential for higher education institutions to deploy trustworthy, effective ...

More than ever, building and maintaining trust, the bedrock of every business, succeeds or fails based on how data is handled ...

AI readiness rests on three foundational pillars: a modern data ecosystem, robust data governance and a strong data-driven ...

Data governance is a critical foundation for any organization that creates, manages, or uses data. Data must be managed in a way that is consistent with the organization’s data definition, data ...

AI demands adaptive data governance: real-time automation of policies, lineage and AI-driven monitoring ensures dynamic compliance for modern enterprises. Data governance has evolved from a compliance ...

Founder and former CEO Yatharth Gupta recently started a new position as a director of product management at Google in ...

Data governance is necessary for compliance with current regulatory expectations for data integrity in pharmaceutical R&D and manufacturing organizations. A company should consider whether it has a ...

Artificial intelligence-driven transformation in retail means autonomous agents are moving into operations and new data and ...

Remco Munnik, Arcana, details pharma's shift to data-first operations, AI adoption, and robust data stewardship.

Data governance is becoming a key strategic initiative. Here’s how to ensure critical data assets are reliable, secure, and available for your business. Why is good data governance so important?