At its Data & Analytics Summit in Sydney, Gartner analysts advised businesses to prioritise data trust over AI hype and ...

In a lively and insight-packed session at the 'How To Take Unstructured Data from Chaos to Clarity' Summit today, data expert ...

GovCon Expert & Unanet VP Kim Koster investigates findings from the 2025 GAUGE Report about the effects of different program ...

Data governance has long been the backbone of responsible data management, ensuring that organizations maintain high standards in data quality, security, and compliance. According to Jonathan ...

AI demands adaptive data governance: real-time automation of policies, lineage and AI-driven monitoring ensures dynamic compliance for modern enterprises.

The Trump administration has expanded Palantir’s work with the government, spreading the company’s technology — which could easily merge data on Americans — throughout agencies.

Governance structures also differ: 53% of organizations centralize governance, 31% adopt a hybrid approach, and 16% operate with a distributed model. Interestingly, data governance is most frequently ...

The data governance and data quality Lego brick model. Data quality is not an accident but a product of design. It is a combination of data integrity and the functionality and control under the ...

Unified metadata models are emerging as a cornerstone in the changing landscape of data management, highlighting the critical need for integrated frameworks that ensure data accessibility, security an ...

Microsoft's Purview Data Governance solution sees 200% monthly growth, offering AI-powered tools to address enterprise data management and AI deployment concerns.

Here’s how AI is modernizing the processes around governance—and how AI-enhanced tools can help ensure success for both AI/ML applications and data wrangling in general.