Smart Manufacturing
The Human Side of Smart Manufacturing: People, Partners, and Purpose in IIoT and AI
At IIoT World Manufacturing Day, the session "Accelerating Innovation and Agility in Manufacturing with IIoT and Machine Learning" made clear that human factors, including purpose, collaboration, and trust, are as critical as technology in smart manufacturing.…
Predictive Maintenance with AI: Extending the Life of Industrial Machines
For manufacturers, downtime is costly. Studies show that 82% of industrial asset failures are random, making scheduled maintenance often ineffective. This is where AI-powered predictive maintenance, enabled by IIoT technologies, is changing the way factories care for machines—helping…
Scaling Smart Manufacturing with IIoT, ML, and Generative AI
Scaling smart manufacturing with IIoT, machine learning, and generative AI requires moving beyond isolated pilots to systems that deliver measurable value across entire operations. At IIoT World Manufacturing Day, Tim Gaus, Greg Sloyer, and Sanjay Bhatia…
Agentic AI Isn’t a Product – It’s an Integrated Business Strategy
Agentic AI represents a fundamental shift in how manufacturers deploy artificial intelligence, moving from passive analytics and dashboards to autonomous agents that perceive, decide, and act within operational workflows. Unlike traditional AI copilots that wait for…
Factory Expertise, Now Scaled by AI
AI copilots in manufacturing embed expert knowledge directly into factory systems, giving operators real-time, human-expert-level diagnostics at the point of decision. According to a white paper published by Arch Systems, one high-volume facility using this approach…
Industry 4.0 project stuck in pilot? Tackle these 5 roadblocks
According to the World Economic Forum, 70% of Industry 4.0 projects never move beyond the pilot phase. Research by IndustryWeek shows 86% of manufacturers are pursuing digital transformation, yet most stall on data. According to HighByte,…
From Pilot Purgatory to Generative AI: Building Scalable IIoT and Machine Learning in Manufacturing
Most manufacturing organizations experimenting with generative AI never make it past the pilot stage. Many organizations remain stuck in "pilot purgatory": running isolated projects that never scale across sites. The promise of IIoT and machine learning…
From APIs to Digital Twins: Warehouse Integration Strategies for Smarter Supply Chains
Smart warehouse integration connects Warehouse Management Systems (WMS), Transportation Management Systems (TMS), ERP platforms, IIoT sensors, APIs, robotics, AI, and digital twins into a unified supply chain. One packaging manufacturer achieved a 9% rise in overall…
AI Frontiers 2025: Driving the Next Revolution in Smart Manufacturing
On Wednesday, September 10, 2025, IIoT World will host AI Frontiers 2025: Driving the Next Revolution in Smart Manufacturing, a free online event bringing together global leaders in AI, industrial data, IIoT, and digital transformation. This one-day virtual conference…
September 2025 Industrial IoT & ICS Cybersecurity Events
As industrial digital transformation accelerates, September 2025 offers a rich lineup of must-attend events focused on Industrial IoT, cybersecurity, smart manufacturing, and sustainable innovation. From in-person gatherings in major hubs like Houston, Chicago, and London to…
Scaling Factory Expertise: Achieve Expert-Level Diagnostics 10x Faster with AI
What Is the Manufacturing Expertise Gap? The manufacturing expertise gap refers to the shortage of skilled subject matter experts caused by workforce retirement. According to the National Association of Manufacturers, 1.9 million manufacturing jobs may remain…
Before the AI Magic: Why Manufacturing’s Biggest GenAI Problem Is Still Data
Generative AI promises a revolution on the shop floor—faster decision-making, adaptive production, smarter quality control. But ask any manufacturing leader what’s actually slowing things down, and you won’t hear about algorithms. You’ll hear about data. At…