Unverified and low-quality data generated by artificial intelligence (AI) models – often known as AI slop – is forcing more security leaders to look to zero-trust models for data governance, with 50% ...

Silent schema drift is a common source of failure. When fields change meaning without traceability, explanations become ...

Without high-quality, well-governed data, every downstream AI initiative becomes fragile, expensive, inaccurate or downright ...

In a Policy Forum, Doni Bloomfield and colleagues discuss the need for expanded – yet tailored and flexible – governance for the biological data used to develop powerful artificial intelligence (AI) ...

China will support the growth of data circulation service providers and encourage closer cooperation with artificial ...

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 ...

At the same time, it has cautioned against viewing AI as a standalone solution or a substitute for institutional reform. The ...

Singapore researchers show how adapting pre-trained AI models can solve data scarcity issues in countries with limited ...

As UHNW and HNW clients demand real-time, predictive and globally consolidated wealth oversight, Azimut Investment Management ...

Agentic AI moves from pilots to production, Private AI builds competitive moats, and sovereign infrastructure redefines ROI, ...

A report released this month by PwC also shows that AI adoption among Chinese enterprises has entered a phase of positive returns driven primarily by revenue growth. About 52 percent of surveyed ...

Top-notch data operations are essential for enhanced decision-making, operational efficiency, and fueling AI. Here’s how IT leaders are evolving their data management strategies to make the most of ...