Agentic AI and IIoT: Complex Questions and Expert Perspectives
At AI Frontiers, the panel on Agentic AI & Integrated Data Workflows generated more questions than could be answered live. To continue the discussion, Andrew Scheuermann, CEO of Arch Systems, recorded a series of short video…
Industrial Copilots: From Assistants to Essential Team Members
In recent years, AI has made significant strides in augmenting human capability across industries. Now, in manufacturing and industrial environments, we are witnessing the emergence of a new class of AI assistants—industrial copilots. These systems are…
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. According to industry benchmarks, over 80% of AI initiatives in industrial settings stall before reaching production scale. In this IIoT World guide,…
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…
Securing Agentic AI with Digital Trust
Agentic AI is rapidly moving from research labs into production environments, powering everything from autonomous workflows in supply chains to connected medical devices and industrial automation. Unlike traditional generative AI, which produces outputs based on prompts,…
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 widen, with an estimated 3.8 million positions expected to go unfilled in the coming years. Rather than viewing AI as a wholesale replacement for human labor, forward-thinking manufacturers are deploying…
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…
The AI Gap: Can Manufacturing Keep Up With the Pace of Innovation?
AI is moving faster than most industries can digest. According to data cited during a recent IIoT World session, AI capability is now doubling every 3.5 months—a 100x improvement in a single year. That’s not evolution; that’s…
The Industrial AI Payoff: Where ROI Is Happening and What’s Shaping What’s Next
Industrial AI has moved beyond the proof-of-concept phase, and manufacturers now face a critical question: where is the real return on investment? In this analysis, IIoT World examines the specific use cases, from predictive quality to…