According to Deloitte’s State of AI report, the main worries organizations have about AI could be solved with better data ...

That in turn could hasten a decline in model quality and accuracy, and an increase in hallucinations and bias. In response to ...

Gartner predicts that by 2028, 50% of organizations will have had to adopt a zero-trust posture for data governance as a ...

Absent a comprehensive federal AI framework, agencies should be guided by four governance priorities. While the federal ...

AI is changing private markets, as it won’t excuse weak data but amplify it. If the underlying data is inconsistent, poorly ...

Taking back control of data requires a commitment to developing enterprise-wide visibility into where data resides, how old ...

The SEC's 2026 examination priorities reveal a significant shift: Concerns about cybersecurity and AI have displaced ...

For today’s CISOs, the perimeter isn’t a firewall — it’s the data itself. Hybrid and multi-cloud architecture have created massive volumes of sensitive ...

Organisations are beginning to implement zero-trust models for data governance thanks to the proliferation of poor quality AI ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. Good decisions require good data. But too often companies, in a ...

A phased guide to AI governance in cloud-native systems, aligning ISO 42001:2023 and NIST AI-RMF with lifecycle controls, ...

More than a decade after the Basel Committee on Banking Supervision introduced its principles for effective risk data ...