During AI Frontiers 2025, participants raised important questions about the growing role of agentic AI in manufacturing—covering topics such as regulation, interoperability, and the management of autonomous systems. While we did not have enough time to address all the questions during the live session, Peter Sorowka, CEO of Cybus, offers in this article a practical direction for […]
Read more →
At Cognite’s 2025 event, Laxmi Akkaraju, SVP Global Services and Solutions, Cognite, spotlighted a new paradigm in industrial AI: agents embedded directly into data workflows, not merely layered on top as analytics. For manufacturers, this shift promises to unlock decisions and use cases that were previously difficult to operationalize reliably — and to do so with […]
Read more →
The race in CNC machining is no longer about who has the fastest spindle—it’s about who can validate reality before cutting metal. Across global manufacturing, digital twin technology is emerging as a quiet disruptor, letting engineers simulate machines, verify programs, and train workers in a zero-risk environment.As Siemens’ Dave Morley explained during CXO Insights, digital twins are […]
Read more →
Factories today don’t struggle to collect data — they struggle to make sense of it. Machines measure everything from pressure to vibration, but most of it lacks meaning. Without context, even the most advanced dashboards can’t explain what’s happening on the floor.That’s starting to change.A new generation of AI agents at the edge is learning to understand […]
Read more →
Every machine in a factory is a storyteller. Motors hum, valves pulse, and robotic arms flex—each leaving a digital footprint in the form of vibration signatures, torque readings, and temperature curves. Production systems add more layers: batch IDs, recipe adjustments, and operator inputs. Together, this flood of time-series data could tell manufacturers not only what […]
Read more →
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 is already reshaping how operators, engineers, and managers run critical energy systems. It’s not hype — it’s a practical […]
Read more →
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 roadblocks. During the “Agentic AI in Manufacturing: From Copilots to Autonomous Systems” session at AI Frontiers 2025, organized by IIoT World, audience […]
Read more →
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 responses tackling some of the toughest questions manufacturers raised. In parallel, Jonathan Wise, Chief Technology Architect at CESMII, shared […]
Read more →
Most factories already collect oceans of data, yet too much of it arrives in different shapes, names, and units. That inconsistency slows down Artificial Intelligence (AI) projects more than any model choice. During AI Frontiers 2025, a participant asked whether the Asset Administrative Shell could help manufacturers tame this variability and make data usable for […]
Read more →
Manufacturing floors across many industries are often powered by decades-old machinery. This legacy equipment is reliable, but it presents a significant challenge: the original design data is frequently missing, incomplete, or outdated.How do you maintain, repair, or improve an asset when its design drawings are nowhere to be found? This is where reverse engineering, supercharged […]
Read more →
Walk any production line and you’ll see the same truth: decisions live on the human–machine interfaces (HMIs) that operators watch all day. If you want agentic AI to help now—not after a multiyear overhaul—start there. Let the assistant read what your people already read: HMIs and SCADA views, historian trends, shift notes, test logs, and […]
Read more →
Picture a line drifting off spec at midnight. Operators don’t want a chatbot—they need a system that notices the issue, understands the context, and recommends an action they can trust. That trust isn’t created at the moment of the alert; it’s built weeks earlier in how you prepare your data, systems, and people. During “Agentic […]
Read more →
Virtual • Dec 10–11, 2025
Free registration now open — limited tickets!