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

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 ...

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

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

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 ...

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 ...

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 fabric is a powerful architectural approach for integrating and managing data across diverse sources and platforms. As enterprises navigate increasingly complex data environments, the need for ...

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 ...

While AI is the hot buzzword right now, the message from major data and analytics vendors has been remarkably consistent. Whether you’re talking to SAS, Snowflake, Databricks, Confluent, Cloudera, or ...

As AI-based governance is shaping the future, Chief Minister Maryam Nawaz Sharif is taking steps to establish Punjab as an ...