As technology and regulations evolve, enterprises need to address data governance throughout pipelines, models, and AI agents ...

Another challenge arises from the pace of modern data environments. Cloud platforms, streaming pipelines and self-service ...

Generative AI systems operate differently enough that some assumptions underpinning today's governance approaches warrant ...

Twenty-nine percent of organizations say AI tools have already surfaced sensitive data they shouldn't have accessed. Yet, 93% of IT and security leaders say they are confident their Microsoft 365 ...

McKinsey identifies four coordinated steps that connect strategy, technology, and people to build strong foundational data ...

Apache Iceberg integration enables streamlined access, scalability, and reliability for modern enterprise data ...

Increased regulatory focus on data integrity violations in GxP inspections opens opportunities for pharma companies to invest in staff training and compliance strategies related to document management ...

A legal imperative for strengthening data governance, protecting personal informationBy Mohammed Vachiat, Chief Commercial Officer (CCO) at Konica Minolta South AfricaIssued by Konica Minolta South ...

VentureBeat research finds 72% of enterprises are running multiple "primary" AI platforms with no clear owner — creating ...

Picture a regulated financial institution receiving a regulatory inquiry in early 2027. The regulator isn’t just asking ...

Intelligence without integrity is just sophisticated risk. To build AI that lasts, you have to apply zero-trust principles to ...

Artificial intelligence is rapidly becoming embedded across investment management. It is helping to automate research, ...