Why Factory Optimization Falls Behind Operational Reality
Factory optimization often underdelivers because it assumes a level of operational stability that rarely exists in practice. Modern manufacturing environments change continuously across product mix, labor availability, equipment behavior, and process configuration. Optimization approaches, however, remain…
The 40% Problem in Industrial AI
IIoT World examines why most industrial AI initiatives stall at roughly 40% of their potential, and what manufacturers who push past that wall do differently with contextual intelligence on the shop floor.Why Many Projects Stall and…
Why You Should Step Inside the Siemens eXplore Tour and See Industrial AI Work
Shown publicly for the first time at CES, the eXplore Tour is a mobile industrial environment built to answer a question most leaders ask before approving change: “Can I see this work before it touches my…
Your Most Critical AI Model Isn’t an LLM: It’s Your Document Pre-Processor
A decisive shift is underway for manufacturers implementing artificial intelligence. The focus is moving from the selection of large language models to the systems that prepare data for them. The accuracy and trustworthiness of any AI-driven…
What Industry Is Starting to Value Differently
For decades, industrial economics was simple. Hardware was expensive. Downtime was expensive. Skilled people were expensive. Decisions, by comparison, were cheap — meetings were free, delays were tolerated, and judgment scaled through hierarchy.That balance is reversing.Today,…
The New Invisible Workhorses of the Smart Factory
Walk any modern plant floor, and you’ll see the familiar pillars of industry: machines, materials, and people. But a new class of essential worker has emerged, one you cannot see. It doesn’t draw a salary, take…
Data Sovereignty in Manufacturing Starts with One Question: Can You Run Without the Cloud?
The hidden line between convenience and dependencyManufacturers are adopting more cloud services, partner integrations, and data-driven applications every year. That shift creates a simple but decisive test for data sovereignty: does production continue if a major external…
Embracing AI-Driven Decision Making in Manufacturing
When people talk about AI in manufacturing, the conversation often jumps straight to results. But in a recent interview with Alec Glenn of JSW Steel USA and Karthikeyan Natarajan of Infinite Uptime, we decided to get…
What Manufacturing Leaders Misjudged About AI in 2025
In 2025, many manufacturers implemented artificial intelligence across forecasting, logistics, and supplier risk scoring, expecting breakthroughs. By year-end, though, a pattern had emerged: AI improved awareness and decision support, but it did not eliminate uncertainty or deliver…
Why Stale Data Is More Dangerous Than Downtime
Most manufacturers track machine health obsessively — vibration, temperature, torque, throughput. Yet the earliest sign of trouble inside a plant rarely starts with the equipment. It starts with the data.At the Honeywell User Group in The Hague, Claudia…