June 2025

AI has moved beyond experimentation to become a core part of business operations, but deployment challenges persist. Research from Zogby Analytics, on behalf of Prove AI, shows that most organisations have graduated from testing the AI waters to diving in headfirst with production-ready systems. Despite this progress, businesses are still grappling with basic challenges around […]

Ask Huawei CEO Ren Zhengfei for his take on AI in China and the mountain of difficulties facing his company, and you get surprising answers. “I haven’t thought about it,” says Ren, in a Q&A with Chinese media outlet People’s Daily. “It’s useless to think about it.” In a world obsessed with five-year plans and

Hugging Face has added Groq to its AI model inference providers, bringing lightning-fast processing to the popular model hub. Speed and efficiency have become increasingly crucial in AI development, with many organisations struggling to balance model performance against rising computational costs. Rather than using traditional GPUs, Groq has designed chips purpose-built for language models. The

Meta’s $14.8 billion investment in Scale AI – and the hiring of the startup’s CEO – is drawing attention to how US regulators will handle acquihire-style deals under the Trump administration. The deal gives Meta a 49% nonvoting stake in Scale AI, which hires gig workers to label training data for AI systems. Scale’s clients

Ericsson’s Cognitive Network Solutions has joined forces with AWS to develop AI technologies for self-healing mobile networks. Behind every text message and video call lies a complex system that telecom companies spend billions maintaining. This partnership between Ericsson and AWS aims to make those networks not just smarter, but virtually self-sufficient. Jean-Christophe Laneri, VP and

For decades, companies of all sizes have recognized that the data available to them holds significant value, for improving user and customer experiences and for developing strategic plans based on empirical evidence. As AI becomes increasingly accessible and practical for real-world business applications, the potential value of available data has grown exponentially. Successfully adopting AI

Back when most business applications were monolithic, ensuring their resilience was by no means easy. But given the way apps run in 2025 and what’s expected of them, maintaining monolithic apps was arguably simpler. Back then, IT staff had a finite set of criteria on which to improve an application’s resilience, and the rate of change

Germany and NVIDIA are building possibly the most ambitious European tech project of the decade: the continent’s first industrial AI cloud. NVIDIA has been on a European tour over the past month with CEO Jensen Huang charming audiences at London Tech Week before dazzling the crowds at Paris’s VivaTech. But it was his meeting with

Modern healthcare innovations span AI, devices, software, images, and regulatory frameworks, all requiring stringent coordination. Generative AI arguably has the strongest transformative potential in healthcare technology programmes, with it already being applied across various domains, such as R&D, commercial operations, and supply chain management. Traditional models for medical appointments, like face-to-face appointments, and paper-based processes

Enterprise artificial intelligence investment is unprecedented, with IDC projecting global spending on AI and GenAI to double to $631 billion by 2028. Yet beneath the impressive budget allocations and boardroom enthusiasm lies a troubling reality: most organisations struggle to translate their AI ambitions into operational success. The sobering statistics behind AI’s promise ModelOp’s 2025 AI