Energy

The nuclear industry is at a pivotal moment. As global energy demand surges—driven by AI, data centers, and the clean energy transition—nuclear power is reclaiming its rightful place as a critical solution. If we’re going to meet this moment, we

As industries race to meet sustainability targets, a quiet shift is taking place—one that moves beyond net-zero goals and toward circular economy thinking. No longer just a compliance checkbox, circularity is becoming a competitive advantage. And increasingly, AI is the engine, making

AI, automation, and digital twins are poised to transform oil and gas operations, but many facilities still run on outdated infrastructure. During the session “Smart Operations in Oil and Gas: Leveraging IIoT for Efficiency” at IIoT World Energy Day 2025,

As energy systems evolve into hyperconnected, data-driven ecosystems, a less talked-about—but rapidly growing—challenge is surfacing: temporal data alignment. In modern energy operations, it’s no longer just about having data; it’s about having the right data at the exact right time. Why Synchronized Data Is

Modernizing Legacy Infrastructure Without Breaking the Bank As digital transformation sweeps across the energy sector, oil and gas operators face a critical question: how can legacy infrastructure catch up with today’s smart technologies? The answer lies not in replacing the old,

As the energy sector doubles down on digital transformation, a quiet but critical issue is becoming more visible: data overload without operational context. Unlike cybersecurity or grid reliability, this problem rarely makes headlines, yet it's increasingly responsible for slower decisions,

A Practical Shift Toward Remote Operations Oil and gas operators are increasingly transitioning to remote-first infrastructures. With mature IIoT platforms, edge AI, and automation, facilities are now being managed with minimal on-site personnel—especially offshore. This isn’t a future-state vision; it's already

The energy sector is undergoing a profound transformation—driven not just by policy shifts or sustainability targets, but by the increasing convergence of digital technologies like Artificial Intelligence (AI) and Edge Computing. And while much of the noise still surrounds pilot

The energy landscape is undergoing a significant transformation, driven by the need for more sustainable, reliable, and affordable energy solutions. As we move towards a decentralized and digitized energy system, the role of grid-edge communication becomes increasingly critical. This article