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

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

When dealing with subjective data, it is important to have an overlap of training data examples that can help check reliability, and it is equally important to ensure consistency in the labeling ...

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.

A team has developed a new method that facilitates and improves predictions of tabular data, especially for small data sets with fewer than 10,000 data points. The new AI model TabPFN is trained ...

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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.