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

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 ...

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 ...

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

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

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

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 ...

According to research firm Gartner, companies will be forced to do so due to the proliferation of unverified AI-generated data.

The implications of AI for data governance and security don’t often grab the headlines, but the work of incorporating this ...

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 ...