Author: Paul Viorel

The global IoT monetization market was valued at USD 1.01 trillion in 2024 and is estimated to grow at a CAGR of 46.4% to reach USD 45.46 trillion by 2034, according to recent report by Global Market Insights Inc. As IoT

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

Manufacturers today are navigating a perfect storm: surging production demands, a retiring workforce, and legacy equipment that can’t keep pace with modern expectations. According to the National Association of Manufacturers, 1.9 million jobs may remain unfilled in the next decade, with

As real-time IIoT platforms gain ground, manufacturers must shift from solving problems manually to designing systems that solve problems autonomously. Digital transformation isn’t just about plugging in new tools—it’s about changing how work gets done. One of the most powerful, yet

AI, automation, and digital twins are poised to transform oil and gas operations, but many facilities still run on outdated infrastructure.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,

Generative AI promises a revolution on the shop floor—faster decision-making, adaptive production, smarter quality control. But ask any manufacturing leader what’s actually slowing things down, and you won’t hear about algorithms. You’ll hear about data. At IIoT World’s Manufacturing Day, the

Industrial IoT platforms can’t deliver full value if networks lag behind. Real-time insight depends on infrastructure that most manufacturers are still underinvesting in. As manufacturers invest in AI, automation, and real-time analytics, one critical enabler is often overlooked: factory network infrastructure.

As AI tools and automation platforms race ahead, manufacturers face a critical question: is technology helping the workforce, or quietly pushing it aside? In the world of smart manufacturing, the answer is increasingly clear—AI works best not as a substitute

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