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 have moved quickly to adopt RAG to ground LLMs in proprietary data. In practice, however, many organizations are ...

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

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 ...

Traditional model validation assumes a model can be tested in isolation, signed off, and then left unchanged. That approach ...

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 ...

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 ...

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 ...

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