South Korea's evolving privacy framework pushes data-use boundaries by operationalizing pseudonymization for AI development.

Zero Trust is no longer a future aspiration. As organisations adopt cloud, hybrid work and AI at scale, trust is becoming ...

Blockchains are going private. The only question left is what kind of privacy the industry will build, argues Schiller..

Oracle’s approach to bring AI to data (instead of the other way round) is being tested by SMRT, where safety demands ...

A study on visual language models explores how shared semantic frameworks improve image–text understanding across ...

At its core, a UNS brings all factory data into a single real-time view. It gives clear visibility into operations at any ...

A subtle shift in mindset from cloud-first to cloud-smart can be the defining factor in taking control of a practical ...

OpenAI on April 24, 2026, released GPT-5.5, calling it the company’s first base model trained entirely from scratch rather ...

From cost and performance specs to advanced capabilities and quirks, answers to these questions will help you determine the ...

Google unveiled Deep Research and Deep Research Max, new Gemini 3.1 Pro-powered AI agents that combine web search, ...

A lot of companies think they have an AI problem. What they really have is a coherence problem across operating model, architecture, and capital allocation.

As technology and regulations evolve, enterprises need to address data governance throughout pipelines, models, and AI agents ...