Overview Poor schema planning creates rigid systems that fail under growing data complexityWeak indexing and duplication reduce performance and increase mainten ...

The security industry has spent the last year talking about models, copilots, and agents, but a quieter shift is happening ...

When standard RAG pipelines retrieve redundant conversational data, long-term AI agents lose coherence and burn tokens.

The realities of non-terrestrial networks increasingly show that coverage depends as much on timing as location ...

Generative artificial intelligence will increase the risks of disruption anywhere data is reasonably available, and where ...

AI is not overhyped. The potential requires equal attention to the less glamorous but more important role of data management.

Visibility is no longer determined by how much content you produce, but by how clearly information is structured for the ...

AI rockstar Andrej Karpathy has launched a self-learning agent that shines a light on the boundary problem. Unremarkable at ...

Microsoft Fabric’s new capabilities aim to unify data, semantics, and AI agent-driven operations across cloud, edge, and ...

Event Sourcing provides LLMs with the richest context. The Model Context Protocol makes this context accessible via a ...

A viral Reddit post alleging exploitative practices at a major food delivery company was exposed as an AI-generated hoax, ...