Insights: Governance at the Edge – What Happens When Industrial AI Loses Its Connection
As autonomous AI moves onto plant floors, mines, and construction sites, professional engineers are facing a governance question their predecessors never had to ask: who is in charge when the network goes down? Steve Yates, a professional engineer with 35 years of experience in edge computing and industrial systems, argues that much of today’s industrial […]
Insights: Give Machines Meaning – Why Semantic Context Is the Real Industrial AI Bottleneck
Most industrial AI programs are drowning in data but starved of meaning. That is the sharp argument Andreas Heine makes in his recent piece: after decades of IIoT work that perfected connectivity, factories now have thousands of tags flowing into their data platforms — and many of those tags are unintelligible to the very AI […]
Insights: From Sensor Signals to Self-Healing Machines – Agentic AI at the Edge
The next step for smart factories isn’t collecting more sensor data — it’s building machines that can reason about what they sense and act on it without waiting for the cloud. A recent project from Edge Impulse shows how far this idea has come. Engineers built a conveyor prototype that runs entirely at the edge: […]
On the KPMG 2026 Report
The KPMG Global Tech Report 2026 captures the moment well: 87% of industrial manufacturing leaders believe advanced technology will drive competitive advantage, yet 76% still see unreliable data as a top AI risk. At Intelligent Shopfloor, we believe the next decisive step is not another layer of passive visibility. We deliver an Active Causal Ontology […]
From Control to Decision: How Intelligent Shopfloor Turns Motors, Actuators, and Hydraulic Presses into Causal Agents
Industrial automation is undergoing a structural shift that two recent analyses make unmistakably clear. Andreessen Horowitz’s The Electro-Industrial Stack Will Move the World positions motors and actuators as the essential “muscle” of the physical economy—the layer that converts electrical energy into precise motion and allows software to act in the real world.¹ Bain & Company’s […]
A Small Mismatch. A Full Line Stop
There’s a comforting story people tell about factory downtime: a belt snapped, a motor burned out, a part wore down. Something broke, so production stopped. At a high-volume Midwest pet food plant, we went looking for that story in the data. What we found was far more common — and far more expensive. Most of […]
AI to Own, Not to Rent
In short: own the intelligence that runs on your physics and your data. Rent only what is generic. That is the difference between a dashboard that observes and a system that acts — and keeps the value of every insight inside the company that created it.
Continuous Intelligence for the Modern Warehouse: How Deterministic AI Solves the Stale-Model Problem
Warehouse AI often starts strong then drifts as operations change. Intelligent Shopfloor’s Deterministic AI continuously reasons over live WMS data, delivering causal explanations and precise next actions without lengthy retraining cycles.
From Prediction Dashboards to Causal Control: Building the “Causal World Model Agent”
Shift from alerts to causal control. Use SME-driven DAGs & CausalRAG to achieve high root-cause accuracy in manufacturing. Build autonomous industrial world models with expert-aligned PLC logic.
Causal AI: From Medical to Manufacturing Shopfloor (Part 2)
From dental AI failures to manufacturing: Causal models trace hidden chains, escaping the Prediction Trap. Latent asset health mirrors inflammation; real-time RCA prevents cascades. Cases: 15-min leads in glass plants, 20% error cut in chemicals. See intelligentshopfloor.com.