Data governance, data integrity, and data quality are all widely used terms, but what do they actually mean and how are they connected? Nomenclature is important. Data governance, data integrity, and ...

The arrival of DeepSeek’s R1 large language model (LLM) shocked the global AI ecosystem, causing many in the U.S. and Europe to reevaluate how we approach AI development. While LLMs from large ...

In 2026, data governance has stopped tiptoeing around the edges of organizational strategy and stepped directly into the ...

Most data governance models weren’t built for AI. They were designed to ensure compliance, not to support real-time decision-making. They helped manage audits and reports but were never intended to ...

Data governance sets clear standards for data processing across your organization. This guide will help you understand what makes for good data governance. Explore Get the web's best business ...

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 ...

If you’re reading this, there’s a very good chance your organization’s approach to data governance is the exact opposite of what it should be for the AI era. If you’ve read my prior articles, you know ...

Industry leaders say decentralised ownership plus central oversight, not invented soundbites, are what will scale AI responsibly. As companies embed AI deeper into core operations, decisions about ...

Does your existing data governance model align with your data and analytics strategies? 55% of data and analytics leaders surveyed reported the lack of standardized approach to data governance as the ...