A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.

AI and data integration are no longer siloed entities; they are dynamic forces converging to reshape industries. AI, with its ability to analyze vast datasets and derive actionable insights, can ...

The real world is deeply interconnected, but businesses still aren’t – witness the global impact of the recent CrowdStrike outage, drought in the Panama Canal, and other prime shipping route ...

Design for manufacturing (DfM) is evolving from traditional engineering practices into a data-intensive discipline that requires real-time integration of manufacturing capabilities, supplier ...

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...

Health plan leaders are now counting on the integration of clinical data “locked in” provider electronic health records to advance value-based care. However, scaling this process effectively remains a ...

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Wim Stoop, senior director ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...