Data governance is how an organization builds the foundation for everything it wants AI to do. That foundation must belong to ...

Another challenge arises from the pace of modern data environments. Cloud platforms, streaming pipelines and self-service analytics tools allow teams to create new datasets quickly. While this agility ...

From integration to AI readiness, IT teams are becoming the foundation of data-centric transformation in higher education.

With data quality and governance key to AI success, IT leaders — and their CEOs — can no longer overlook data debt. Experts offer tips for remediation.

Artificial intelligence has become embedded in nearly every operational layer of modern institutions. It parses docume ...

Data standardisation is often dismissed as a technical exercise, but it is, in fact, the grammar of governance that a nation ...

We are updating legal frameworks on personal data protection and cyber security, continuing to invest in digital public infrastructure and strengthening institutions that safeguard public trust while ...

Why better architecture – not better promises – is the key to sustainable cloud computing. The data isn’t perfect but there ...

Alteryx’s Sabya Sen explains why confidence in AI remains low for high-stakes decisions, and what CIOs must do to turn adoption into real business value ...

A new platform won't fix your data problems if your business logic is a mess; you need to clean up your data definitions ...

Fortune 500 companies now run active AI agents. Only 10% have a clear strategy to manage them. Here is what the other 90% ...

In his closing keynote for the 2026 Data Summit conference, John O'Brien, principal advisor and industry analyst, Radiant Advisors, shared three insights he's gained from his initial analysis of data ...