Daniel Mairly

Apple, a technology giant long celebrated for its seamless integration of hardware and software, now finds itself in an unfamiliar and precarious position, grappling with a profound crisis in its artificial intelligence development. The company, known for its polished user experiences and flawless

Enterprise IT operations are rapidly approaching an irreversible breaking point, strained by a level of complexity and data fragmentation that legacy models were never designed to handle. This operational strain is not merely an inconvenience; it is a direct threat to business continuity and

The conveyancing industry is saturated with technology, yet it suffers from a fundamental disconnect that forces highly skilled legal professionals to spend their days manually bridging the gaps between systems, undermining the very efficiency that technology promises to deliver. Law firms utilize

While public fascination remains fixated on the human-like chatter of sophisticated chatbots, a quieter and potentially more consequential artificial intelligence revolution is unfolding within the world's industrial and commercial backbones. This new front in the global AI race is not about

In a bold response to the disruptive force of Generative AI, enterprise automation leader UiPath is undergoing a profound transformation. The company, once the face of Robotic Process Automation (RPA), is strategically pivoting from its legacy of "deterministic" bots that follow rigid rules to a

A fundamental transformation is reshaping the global landscape of open-source Artificial Intelligence, driven not by a grand strategic design but by the practical, on-the-ground needs of developers worldwide. While prominent Western AI laboratories are increasingly pulling back from open releases,

The ripple effect of a single AI model's release can now trigger billion-dollar market shifts overnight, a testament to the profound acceleration of technological advancement in the artificial intelligence sector. This review will explore the evolution of Anthropic's Claude, its key new features in

In the rapidly evolving landscape of cybersecurity, the old methods of periodic, manual penetration tests are proving insufficient. Today’s threats are persistent, automated, and adept at exploiting the complex interplay between cloud services, APIs, and identity platforms. To discuss this paradigm

We're joined today by Laurent Giraid, a leading technologist and keen observer of the artificial intelligence industry, to dissect a week of seismic shifts. In a flurry of activity, Anthropic launched its powerful new model, Claude Opus 4.6, just as OpenAI made its own major moves, all against the

The enterprise artificial intelligence sector is undergoing a profound transformation, moving beyond the initial hype cycle where technology was the main event. We are now entering a more mature phase defined by a critical, and often underestimated, need for implementation expertise and deep