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 ...

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

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

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

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

To govern AI safely and keep its speed advantage, enterprises must move from static, rule-based control systems to adaptive, AI-aware access governance.

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 ...

Open banking, embedded finance, and AI are changing where bank data flows. Data privacy now determines how far innovation can ...

If you’re reading this, there’s a very good chance your organization’s approach to data governance is the exact opposite of what it should be for the AI era. If you’ve read my prior articles, you know ...

In today’s rapidly evolving digital landscape, the value of data cannot be overstated. Data has become the lifeblood of innovation, driving decisions, shaping industries, and transforming how we live ...

It’s a time when large datasets are being leveraged for real-time analysis. Tried-and-true approaches to cobbling together technologies and policies to achieve workable data governance and security ...