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.

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 ...

Autodesk has acquired data-sharing platform Datum360 and has opened up its data model API via its Autodesk Docs data sharing platform.

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

You’ll often see synthetic data used as a placeholder—especially when legal approvals or NDAs are still in progress. Instead of stalling development, teams can keep moving forward with stand-in data, ...

The MetroLab Network has announced the release of its new Model Data Governance Policy & Practice Guide for Cities and Counties, aiming to support data governance initiatives at the local level.

Conversational data agents in Microsoft’s big data platform bring enterprise data and insights into AI-powered business processes.

Most projects benefit from having a data model. Read this article for an overview of the most common types.

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