Real-time insights and self-service analytics have become critical for survival in a rapidly evolving data landscape.

IDC MarketScape vendor analysis model is designed to provide an overview of the competitive fitness of technology and ...

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

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 ...

The ongoing dive into modernity—and all the new technologies and hype trains that come along with it—requires a modern data architecture to support it. With this architecture comes a variety of other ...

As healthcare data grows more complex and cyber threats become more severe, the need for strong data governance and cohesive, system-wide analytics strategies has never been greater. Yet even today, ...

Data governance is fast becoming a pillar of enterprise security strategy as organizations confront data sprawl, multicloud complexity and the urgent need for responsible artificial intelligence ...

Angela Virtu, a professor of business analytics and A.I. at American University’s Kogod School of Business, examines why most ...

The rise of “data mesh” as a buzz phrase in the data management world has generated significant interest, but is it the right approach for your organization? While data mesh has its proponents, many ...

Gabriel Gonzalez, CTO and technology strategist, advises global firms on AI, cloud, and data to drive innovation and digital transformation. In an era where artificial intelligence and machine ...

Key questions to address in AI governance include what important regulatory compliance is needed, what data can be used in training AI models, what data must not be shared with public LLMs, and what ...