Industrial environments have been built one use case at a time, leaving most large manufacturers with fragmented IT and OT infrastructure. A manufacturer with 10 sites might run four different home-grown MES platforms, three different ERPs,…
Manufacturing has shifted into a phase of scaled execution. Today, leaders build autonomous systems that contextualize, secure, and act on data in real time. Based on insights from industry leaders at previous editions of IIoT World…
The manufacturing sector is currently navigating a massive transition from static dashboards to Agentic AI, systems that can perceive, reason, and act autonomously. However, as highlighted by industry leaders during the sessions and discussions at IIoT…
As manufacturing moves toward 2026, the landscape of predictive maintenance is shifting from simple condition monitoring to "Agentic AI", systems that don't just alert you, but autonomously plan and execute multi-step resolutions. This evolution requires a…
IIoT World covered ARC Forum Orlando 2026 and identified five industrial AI trends defining the divide between manufacturers scaling AI and those still in proof-of-concept. Executive Summary: The Industrial AI State of Play 2026 The ARC Industry…
Managing agentic AI in manufacturing requires governance built on three principles: centralized control, open standards, and traceable data infrastructure. Peter Sorowka, CEO of Cybus, outlines how manufacturers in regulated sectors like pharma and energy can address…
As industrial organizations accelerate their digital transformation journeys, one persistent challenge continues to block progress: the gap between Information Technology (IT) and Operational Technology (OT) teams. While "IT/OT convergence" has become a buzzword in Industry 4.0…
Modern manufacturers face a paradox: despite generating more data than ever, as much as 80–95% of valuable operational data remains unused. The result? Missed opportunities, fragmented visibility, and stalled digital transformation efforts. Our new executive booklet, based…
Every major initiative in smart manufacturing, from predictive maintenance to AI-driven quality control, depends on one foundational capability: reliable, real-time access to industrial data. Yet many organizations invest heavily in analytics tools and dashboards only to…
In modern manufacturing, seamless data flow between operational technology (OT) and information technology (IT) is critical for efficiency and innovation. During a recent panel discussion, Ravi Subramanyan, Director of Industry Solutions Manufacturing at HiveMQ, highlighted the…
A New Era of IoT Data Management As industrial enterprises accelerate their digital transformation, managing and leveraging real-time operational data remains a critical challenge. HiveMQ, a leader in enterprise MQTT solutions, has introduced HiveMQ Pulse, a next-generation distributed data intelligence platform designed to…
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…