Name the hot buttons about generative artificial intelligence, and they often center around data. Concern over understanding the context of data stems from the need to ensure that AI models are ...

Developers are discovering that Model Context Protocol shines at providing AI coding agents with highly relevant software engineering context, on demand, at run time.

Bloomberg’s Data Technologies Engineering team is responsible for the data collection systems that onboard all of the referential data that drive the company’s applications and enterprise solutions.

Ontology engineering is the discipline concerned with the systematic design, development and maintenance of formal models that represent domain knowledge in a machine‐interpretable form. These ...

Mukul Garg is the Head of Support Engineering at PubNub, which powers apps for virtual work, play, learning and health. In my journey through data engineering, one of the most remarkable shifts I’ve ...

In recent years, knowledge graphs have become an important tool for organizing and accessing large volumes of enterprise data in diverse industries — from healthcare to industrial, to banking and ...

For decades, enterprise data infrastructure focused on answering the question: “What happened in our business?” Business intelligence tools, data warehouses, and pipelines were built to surface ...

As AI-driven data centers transform from simple IT infrastructure into complex industrial tools backed by mechanical, ...