Since the Industrial Revolution, the manufacturing sector has generated vast amounts of data—too much for humans to process manually. So, industries like automotive, electronics, textiles, and pharmaceuticals are now leveraging artificial intelligence (AI) and machine learning…
Manufacturers generate vast amounts of data, yet without the proper structure, much of this valuable resource remains untapped. Data-Driven Manufacturing: From Challenges to Scalable Solutions is a comprehensive resource designed for industry professionals seeking practical, real-world strategies to…
The Industrial Internet of Things (IIoT) is evolving rapidly, bringing new opportunities and challenges for industrial organizations worldwide. Companies across manufacturing, energy, logistics, and transportation are embracing AI-driven automation, predictive analytics, and real-time data processing to optimize operations. However, scalability issues,…
Reducing waste while maximizing return on investment is one of the most tangible and measurable benefits that Industrial IoT and machine learning deliver to manufacturers. Yet many organizations struggle to move beyond pilot projects and achieve…
Are outdated systems holding back your organization’s potential? Bridging the Gap – Strategies for Integrating Legacy Systems with Modern Technologies is your ultimate guide to unlocking innovation without sacrificing reliability. This digital booklet dives into the critical challenges…
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…
Licensing is a big part of using Aveva’s industrial software. But, like many powerful systems, it can be confusing and expensive. In this post, we'll discuss the challenges of Aveva’s licensing model and why it can…
Traditional industries have evolved by implementing many Industrial IoT practices, where we can get data from mechanical devices and sensors. Such real-time data monitoring helps perform better analysis, predict equipment failure, and reduce operating costs. However,…
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…
IIoT World’s latest booklet, "Enhancing Manufacturing Processes Through AI and Low-Code Integration," is a must-read resource for manufacturers looking to leverage cutting-edge technologies to drive efficiency, innovation, and productivity. This guide delves into the synergy between AI and…
A new technical paper is now available, offering critical insights for industries seeking to modernize their data historians and improve overall operational efficiency. This paper explores the evolving role of data historians in the era of…
Have you ever wondered how industries using smart devices handle tons of unique data loading on their server? High cardinality data allows for detailed tracking and monitoring of each sensor, machine, and device in real-time. Finding…