Companies struggling to keep up with the arrival of AI agents should buckle up: even more complicated technologies are quickly coming down the pike. That includes physical AI, which includes robots — and which Nvidia pegs as a multibillion-dollar market —and quantum computing. Both are likely to disrupt a number of industries in the coming

It’s important to put into context Apple’s decision to turn its industry standard creative apps into a subscription-based service. The context is that people are more prepared than ever to pay for access, rather than ownership — a mantra that’s been muttered in the back rooms of content creation since before Napster. One way to get some sense of

AI copilots are incredibly intelligent and useful — but they can also be naive, gullible, and even dumb at times. A new one-click attack flow discovered by Varonis Threat Labs researchers underscores this fact. ‘Reprompt,’ as they’ve dubbed it, is a three-step attack chain that completely bypasses security controls after an initial LLM prompt, giving

Google this week announced the public rollout of a beta Gemini feature called Personal Intelligence. It gives Gemini access to your Gmail, Google Photos, YouTube, and Google Search data, if you grant permission, which you can do individually (for example, you can grant permission for YouTube access but not Gmail).  The rollout will take place

OpenAI, Google, and Anthropic announced specialised medical AI capabilities within days of each other this month, a clustering that suggests competitive pressure rather than coincidental timing. Yet none of the releases are cleared as medical devices, approved for clinical use, or available for direct patient diagnosis—despite marketing language emphasising healthcare transformation. OpenAI introduced ChatGPT Health on January

Hiring at large firms has long relied on interviews, tests, and human judgment. That process is starting to shift. McKinsey has begun using an AI chatbot as part of its graduate recruitment process, signalling a shift in how professional services organisations evaluate early-career candidates. The chatbot is being used during the initial stages of recruitment,

The ETSI EN 304 223 standard introduces baseline security requirements for AI that enterprises must integrate into governance frameworks. As organisations embed machine learning into their core operations, this European Standard (EN) establishes concrete provisions for securing AI models and systems. It stands as the first globally applicable European Standard for AI cybersecurity, having secured

Author: Richard Farrell, CIO at Netcall After a year of rapid adoption and high expectations surrounding artificial intelligence, 2026 is shaping up to be the year CIOs apply a more strategic lens. Not to slow progress, but to steer it in a smarter direction. In 2025, we saw the rise of AI copilots across almost

At a glance Many real-world business problems can benefit from optimization, but translating decisions, constraints, and goals from natural language into optimization algorithms is slow. OptiMind is a small language model designed to convert business problems described in natural language into the mathematical formulations needed by optimization software. OptiMind is trained on a carefully curated, expert-aligned dataset and

Something interesting just happened in China’s AI scene, and it didn’t come with fireworks or chest-thumping press conferences. Instead, it arrived almost casually – which somehow makes it more impressive. Zhipu AI, a well-known Chinese artificial intelligence company, says it has trained a cutting-edge image generation model entirely on Huawei’s homegrown chips. No Nvidia GPUs.