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

When governance is engineered into how data is created and used, it accelerates access, experimentation, model development ...

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 ...

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

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

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 ...

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

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 ...

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 ...