Factory Expertise, Now Scaled by AI
Every factory depends on expertise — the intuition of a technician who can hear when a nozzle is misaligned, or the experience of an engineer who can trace yield loss back to a single feeder. But…
Industry 4.0 project stuck in pilot? Tackle these 5 roadblocks
Maybe you’re tired of hearing about Industry 4.0, but we’re just now getting to the good part. Attitudes about Industry 4.0 use cases—and digital transformation as a whole—are largely optimistic among industrial companies. State of the…
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 in…
From APIs to Digital Twins: Warehouse Integration Strategies for Smarter Supply Chains
The landscape of warehousing and supply chains is changing rapidly. Modern manufacturers, distributors, and energy companies face rising customer expectations for speed and transparency; for example, over 90% of U.S. consumers now expect 2–3 day delivery…
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 explores…
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
Manufacturers today are navigating a perfect storm: surging production demands, a retiring workforce, and legacy equipment that can’t keep pace with modern expectations. According to the National Association of Manufacturers, 1.9 million jobs may remain unfilled in…
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 IIoT…
AI as a Skill Multiplier in Manufacturing, Not a Replacement
The manufacturing skills gap continues to grow. Rather than viewing AI as a wholesale replacement for human labor, forward-thinking manufacturers are deploying it as a skill multiplier , amplifying the expertise of existing workers so that…
Why AI Success in Manufacturing Starts with Leadership, Not Code
Most conversations about AI in manufacturing focus on algorithms, data pipelines, and compute infrastructure, but the evidence increasingly points to a different success factor: leadership. According to industry research, over 70% of AI pilot projects in…