Chloe Maraina has spent her career translating messy, high-volume data into crisp, visual narratives that leaders can act on. As a Business Intelligence expert with deep roots in data science, she’s helped organizations pivot their talent strategies in step with AI’s rapid rise. In this
The fastest-growing apps set expectations that stretched old cloud assumptions until they snapped, because users now expect sub‑100ms responses, instant personalization, and no‑drama resilience whether they are in Seoul, São Paulo, or a stadium with flaky coverage during a live event. The center of
Which AI future should shape network upgrades—cloud-first, agent-led, or fully immersive—and how much risk can be absorbed if the bet proves wrong when the most valuable, latency-sensitive traffic increasingly happens near people rather than inside faraway data centers? In many enterprises, the
A surge in AI demand met a hard limit this week: power, not silicon, became the gating factor just as Microsoft lost two leaders who had been central to bridging that gap between compute ambition and physical reality. The exits landed while Copilot and Azure AI usage climbed, turning routine
Chloe Maraina has spent her career turning messy operational data into clear, visual stories that leaders can act on. As a Business Intelligence expert with a data science toolkit, she’s been inside the planning cycles that connect product roadmaps, AI-enabled workflows, and vendor economics to
In a world where a half-second delay can mean a missed hazard in traffic, a spoiled batch on a factory line, or a broken shopping experience at the register, moving AI decisions closer to where data is created has started to look less like an option and more like an imperative across industries
