I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

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

AI-ready data is a conscious choice, and the organizations that lead the era of AI will be those that treat data as a strategic asset and culture as a force multiplier.

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

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

Most data governance models weren’t built for AI. They were designed to ensure compliance, not to support real-time decision-making. They helped manage audits and reports but were never intended to ...

Enterprises are not short on AI ambition. What they lack is a governance model that keeps pace with how AI is actually being ...

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

In today’s enterprise environments, data no longer functions as a record of what has happened. It operates as a live substrate through which decisions are executed, policies are enforced, and ...

Overview of the Agentic Trust Framework (ATF), an open governance spec applying Zero Trust to autonomous AI agents, with ...

Abstract: The increasing reliance on artificial intelligence (AI) and advanced analytics to gain competitive advantages has elevated the importance of robust data governance frameworks. This article ...

Dr Gulzar Singh explains how algorithmic decision-making in banks has outpaced the institutional structures designed to govern accountability, oversight, and escalation ...