Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

Each entry on Epoch AI's map links satellite imagery with construction data and public permits. Zooming in on New Albany, ...

For hackers, the stolen data would be useless, but authorized users would have a secret key that filters out the fake ...

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

Daimler Truck uses graph technology to untangle its IT estate and gains long-lasting operational windfall - SiliconANGLE ...

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...

Building effective agentic solutions requries an ontology-based single source of truth. Ontology is a business definition of ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this article, author Elakkiya Daivam ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. John "Hannibal" Smith (George Peppard) loved it when a plan ...