Navigating the complexities of legacy systems, security threats, and scalability remains a significant challenge in the fast-evolving world of industrial technology. Erik Nordmark, co-founder of an edge computing company, has spent decades at the forefront of…
In today’s rapidly evolving industrial landscape, staying competitive means being smart with your operations — and smarter with your investments. Leading organizations are turning to the Industrial Internet of Things (IIoT) and Artificial Intelligence (AI) to optimize processes, cut costs,…
Choosing the right communication protocol is one of the most consequential decisions in any Industrial IoT deployment. The protocol you select determines latency, security posture, interoperability with legacy equipment, and ultimately whether your predictive maintenance or…
AI-driven predictive maintenance is transforming how industrial manufacturers approach equipment health and energy efficiency. By correlating machine faults with energy losses, AI models can detect inefficiencies before they become failures , cutting unplanned downtime, reducing CO₂…
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…
At the ARC Industry Forum 2025, Greg Orloff of IIoT World sat down with Thomas J. Burke, the Global Director of Industry Standards at Mitsubishi Electric, to discuss the evolution of industrial connectivity, focusing on CC-Link technology and the role of Time-Sensitive Networking (TSN) in…
Explore key Industrial IoT (IIoT) and ICS Cybersecurity events in March 2025. From high-level conferences to specialized summits, these events cover a range of topics, from energy innovation and digital transformation to AI, cybersecurity, and smart…
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…
As grid-scale energy storage deployments accelerate worldwide, the lack of unified interoperability standards remains one of the sector's most pressing technical barriers. In this guide, IIoT World examines the protocols, frameworks, and industry initiatives that are…
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…
In today’s digital age, connectivity is the backbone of Industrial Internet of Things (IIoT) systems, enabling real-time data sharing, remote monitoring, and predictive maintenance. However, industries operating in remote or challenging environments, such as offshore energy…
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…