Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

Data analytics have either been centralized or decentralized. Data mesh tried to fix that. The hub-and-spoke model goes further.

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

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Fractured and incomplete datasets are a key barrier towards effectively training AI models for deployment in healthcare ...

AI luminary Andrew Ng wants AI practitioners to shift their focus from model development to data quality.