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

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

AI is quietly poisoning itself and pushing models toward collapse - but there's a cure ...

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 ...

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 ...

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

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 ...

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 ...

More than any other factor, the hyperabundance of accessible data has powered today’s surge in AI adoption and generative AI capability. Collecting, cleaning, organizing, and securing that data for AI ...

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 ...

Opinion: Insurers are adopting unified cloud data platforms to transform underwriting, claims and governance—driving smarter ...