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

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

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.

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, ...

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LlamaIndex, a startup creating a framework that allows users to add personal data to large language models, is attracting VC backing.

Global master data management has become a critical enabler for enterprises adopting the global business services operating model.

This can happen even when the sparse data might be more predictive. Best machine learning model for sparse data To help combat these issues that arise with sparse data machine learning, there are a ...

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BMC Software's Doug Mueller cites the shortcomings of CMDBs and explains how a federated data model can overcome them.