Editorial

Hands are busy. Heads are available. That is the simple reason smart glasses are finally earning a seat in industrial toolkits. The winning devices are not consumer gadgets with a camera strapped on. They are rugged, voice-first edge computers built for noisy plants and tight catwalks. They are

Laptop prices are climbing. Component costs are rising on the back of AI-driven demand for memory and GPUs, and that pressure will not ease soon. According to IDC's Global Memory Shortage Crisis analysis from late 2025, DRAM prices have surged significantly. Demand from AI data centers continues to

70% of CEOs expect generative AI to significantly change how their companies create value. Yet many organisations remain in the pilot phase, experimenting in silos without a plan to operationalise their tools. The result is a growing gap between AI implementation and enterprise readiness. Without a

For all the hype, many organizations remain stuck in an experimental phase. Although adoption of AI and related technologies is widespread, their impact on the bottom line remains minimal. Companies are tinkering with AI in isolated pockets, often without embedding it into broader digital

In 2025, AI innovators captured global attention as the internet became overcrowded with low-quality, AI-generated content often dismissed as “slop.” This tension highlights a critical challenge: how to unlock AI’s promise while staying ahead of its technical, social, and economic risks. Tackling

The modern IT department is built on a paradox. The demand for elite technical talent has never been higher, yet the available local supply has never felt so thin. In fact, 87% of organizations report they’re struggling to find skilled tech workers, with a global shortage of millions of IT