The convergence of artificial intelligence and edge computing is fundamentally transforming how energy companies generate, distribute, and manage power across increasingly complex grids. From real-time predictive analytics at wind farms to autonomous load balancing at substations,…
I’ve spent my career building systems that don’t get second chances. Environments where power flickers, heat warps, and networks fail, places where a device either works or it becomes a liability. So when I hear talk…
As manufacturers accelerate their digital transformation journeys, the limitations of fragmented data environments are becoming more visible—and more costly. The promise of smart manufacturing hinges on one capability: enabling data to move seamlessly from the factory…
As data continues to explode across industries and geographies, the conversation is shifting—from what can be done in the cloud to what must be done at the edge. And right in the middle of this shift…
Industrial AI has moved beyond the proof-of-concept phase, and manufacturers now face a critical question: where is the real return on investment? In this analysis, IIoT World examines the specific use cases, from predictive quality to…
Edge computing is no longer an emerging concept; it is the operational backbone that industrial systems need to process data locally, run AI models in real time, and maintain security at the OT perimeter. In this…
For many industrial organizations, the edge has long been treated as a fixed, isolated part of operations. But as digital transformation initiatives scale—and artificial intelligence, analytics, and cybersecurity concerns intensify—this view is rapidly becoming outdated. Erik…
Access to the correct assets, equipment, and raw materials at the right time is vital for maintaining production schedules in a busy factory. Workers can spend up to 20% of their time searching for missing tools,…
In the age of digital transformation, data is more than a byproduct—it's a powerful asset. But most manufacturers are sitting on untapped potential. This white paper from Critical Manufacturing explores how modern data platforms, combined with MES systems,…
Industrial AI is no longer an emerging concept; it is actively transforming how manufacturers automate processes, predict failures, and optimize output. In this guide, IIoT World examines the most significant industrial AI and automation trends that…
For manufacturers, utilities, and other industrial operators, time series data—information captured over time from machines, sensors, and control systems—is the backbone of modern operations. But as data volumes grow, many organizations are still struggling to keep…
At Hannover Messe 2025, John Harrington of HighByte offered a timely reminder: as AI races ahead in the industrial sector, the infrastructure supporting it—specifically, DataOps—needs to keep up. While AI dominates the headlines, its power is fundamentally…