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
AI-driven decision making in manufacturing delivers measurable results when leadership commitment, operator trust, and incremental scaling align. In a conversation between Alec Glenn of JSW Steel USA and Karthikeyan Natarajan, Co-CEO of Infinite Uptime, concrete outcomes…
What Manufacturing Leaders Misjudged About AI in 2025
In 2025, manufacturers implemented AI across forecasting, logistics, and supplier risk scoring expecting breakthroughs, but a clear pattern emerged: AI improved awareness and decision support without eliminating uncertainty or delivering automatic resilience. Based on a panel…
Why Stale Data Is More Dangerous Than Downtime
Stale data is more dangerous than downtime in manufacturing because downtime is visible and gets immediate attention, while data decay goes unnoticed. When operators unknowingly act on outdated or incomplete data, quality suffers first, followed by…
The Path to Autonomous Manufacturing: Prescriptive AI Meets Guaranteed Outcomes
Manufacturing plants face a persistent challenge: bridging the gap between monitoring equipment and improving production outcomes. While sensors and dashboards flood facilities with data, most solutions stop at detection, leaving operators to figure out what happens…