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 ...

Security concerns and vendor restrictions are some of the major barriers to unlocking health data's full potential in raising patient outcomes. In the HIMSS24 APAC plenary session, "Power of Data in ...

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

Enterprises that wish to remain relevant in their respective markets are embracing big data, including its benefits and challenges. Data integration plays a key role in big data as it allows ...

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 ...

Data integration is a crucial aspect of workplace efficiency and maintaining compliance. Learn how data integration tools provide greater visibility and control. Image: Andrey Popov/Adobe Stock ...

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 ...

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...

In life sciences and bioprocessing, gas analysis helps maintain the integrity of sterile environments while supporting critical parameters like oxygen and CO₂ in fermentation. In the growing clean ...