There certainly is no shortage of interest in applying AI to distributed energy operations. Battery storage operators want predictive analytics at the cell level. Renewable fleet managers want optimization recommendations across hundreds of sites. Grid operators…
Every predictive maintenance model, every digital twin simulation, and every real-time dashboard in a modern factory depends on one thing: trustworthy time series data. Yet bad data, whether caused by sensor drift, network gaps, or timestamp…
Learn how integrating a time series database with your historian helps industrial teams detect issues faster, act in real-time, and build predictive strategies that reduce downtime. Modern industrial systems continuously generate time-stamped data from sensors, PLCs,…
What does it take to make digital transformation stick—beyond pilots, platforms, and buzzwords? At Hannover Messe 2025, the conversation around industrial transformation reached a new level of clarity—and urgency. From AI and agentic automation to modular…
The factory of the future is not being built from the cloud down; it is being rebuilt from the edge up. In this article, IIoT World explores how modern edge data architectures are fundamentally changing manufacturing…
At Hannover Messe 2025, InfluxData CEO Evan Kaplan and HighByte CPO John Harrington discuss how manufacturers are shifting from data collection to data intelligence and what’s required to support that transformation. Below are the most important…
Achieving world-class Overall Equipment Effectiveness (OEE) is a top priority for manufacturers, yet most facilities operate well below the 85% benchmark that separates leaders from laggards. Predictive maintenance powered by the Industrial Internet of Things (IIoT)…
The Industrial Internet of Things (IIoT) is transforming modern manufacturing by enabling connected, data-driven processes that improve efficiency, reduce downtime, and enhance decision-making. Manufacturers increasingly rely on IIoT to optimize production, but proving its return on…
The role of the data historian has changed a lot since the 1980s, and it’s time to rethink how it serves us. Industry 4.0 demands better integration between OT and IT systems, allowing teams to centralize…
Unplanned downtime remains one of the costliest problems in manufacturing. IIoT World explores how organizations are shifting from reactive, break-fix maintenance to predictive strategies powered by connected sensors, edge analytics, and machine learning models. Industrial maintenance…a…
Combining predictive maintenance (PdM) with Overall Equipment Effectiveness (OEE) gives manufacturers a powerful, data-driven roadmap for eliminating unplanned downtime while maximizing asset utilization. In this article, IIoT World walks through the practical steps for integrating condition-monitoring…
The industrial Internet of Things (IIoT) helps bind machines, sensors, and systems together. This IIoT World article, sponsored by InfluxData, examines how time series databases support predictive maintenance in industrial IoT environments. They form a network…