AI in Energy Is Growing Up: From Analytics to Real Operations
For years, AI in energy meant better dashboards, faster analytics, and smarter reports. Useful — but limited. Now, something more important is happening: AI is moving from describing what happened to deciding what to do next.This shift…
Building the Data Foundations for Agentic AI in Manufacturing
Manufacturers know that AI is only as good as the data behind it. For agentic AI — systems that act on their own in real time — data silos, latency, and inconsistent architectures are often the biggest…
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
The promise of IIoT and machine learning in manufacturing is well understood – predictive maintenance, optimized energy use, and real-time quality control can save millions in downtime and waste. Yet many organizations remain stuck in “pilot…
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
As AI tools and automation platforms race ahead, manufacturers face a critical question: is technology helping the workforce, or quietly pushing it aside? In the world of smart manufacturing, the answer is increasingly clear—AI works best…
Why AI Success in Manufacturing Starts with Leadership, Not Code
Manufacturers don’t lack AI tools. They lack the readiness to use them well. That was one of the clearest undercurrents at IIoT World’s Manufacturing Day session on generative AI. While the panelists from Siemens, Databricks, and…