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Developing the foundation for an effective data security program An effective data security program for this new AI era can be broken down into three principles: Securing the AI: All AI deployments – ...

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

Much has been said about the proliferation of data and how this has led to various emerging specialisms, such as data strategy, data engineering, data management, automation and data sciences. Each ...

This is a VB Lab Insights article presented by Capital One. AI offers transformative potential, but unlocking its value requires strong data management. AI builds on a solid data foundation that can ...

FAIR data principles aim to automate data management, paving the way to link data sources, AI, extreme scale, and edge computing with modern scientific data infrastructure to automate and accelerate ...

In a world where boundaries and borders are increasingly porous, where information flows seamlessly across the world, and where cyber threats have become a defining element of our modern digital ...

Be certain about who needs access to data, the purpose the data will be put to, and that the data is of good quality. Those are among the key principles of data management put forward by Chris Gorton, ...

None of this requires adopting China’s approach wholesale. Beijing’s data exchanges serve state priorities. American capital ...