The New Industrial Trade: Your Data Scientist is Useless Without Your Floor Technician
· Hybrid Manufacturing

The New Industrial Trade: Your Data Scientist is Useless Without Your Floor Technician

We are getting the conversation about data infrastructure backwards.The chatter online is saturated with debates on cloud versus edge, the merits of one database over another, and the magical promise of AI algorithms. These are implementation details. The fundamental, unglamorous, and decisive battleground for predictive operations lies elsewhere. It’s in the cultural and mechanical translation […]

Read more →
EU Data Regulation Is Quietly Changing Who Controls Industrial Machine Data
· Hybrid Manufacturing

EU Data Regulation Is Quietly Changing Who Controls Industrial Machine Data

Why access to machine data is becoming a strategic issueFor years, many manufacturers operated with limited access to the data generated by their own machines. Interfaces were proprietary, extraction was restricted, and meaningful reuse often required additional contracts or fees. This shaped how digital initiatives evolved—and, in many cases, why they stalled.EU data regulation is […]

Read more →
The 40% Problem in Industrial AI
· Hybrid Manufacturing

The 40% Problem in Industrial AI

Why Many Projects Stall and What Moves Them ForwardEndurance athletes talk about the “40% wall.” It is the point where the body feels spent, even though much more capacity remains. David Goggins uses it to describe the moment when discomfort is mistaken for a hard limit.Industrial AI projects hit a similar wall.Manufacturers deploy analytics, connect […]

Read more →
Why You Should Step Inside the Siemens eXplore Tour and See Industrial AI Work
· Process Manufacturing

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 operation?”IIoT World spoke with Chris Stevens, President, US Automation at Siemens Digital Industries, about what the experience is designed to […]

Read more →
Your Most Critical AI Model Isn’t an LLM: It’s Your Document Pre-Processor
· Discrete Manufacturing

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 decision—from supply chain logistics to predictive maintenance—are determined long before a query reaches an LLM. They are determined by […]

Read more →
Data Sovereignty in Manufacturing Starts with One Question: Can You Run Without the Cloud?
· Process Manufacturing

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 service has an outage? If the answer is no, the problem is bigger than data ownership. It becomes an operational […]

Read more →
Embracing AI-Driven Decision Making in Manufacturing
· Artificial Intelligence

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 a different approach, so the conversation felt different —more grounded, and closer to what actually happens when AI enters […]

Read more →
The Path to Autonomous Manufacturing: Prescriptive AI Meets Guaranteed Outcomes
· Process Manufacturing

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 next.Beyond Monitoring: The Prescriptive AdvantageThe evolution from reactive to proactive plant operations requires more than hardware installations. True transformation […]

Read more →
What I’m Most Excited to See at Siemens Booths at CES 2026 — and Why It Matters for the Future of Industrial Intelligence
· Connected Industry

What I’m Most Excited to See at Siemens Booths at CES 2026 — and Why It Matters for the Future of Industrial Intelligence

CES has always been a mirror of what’s next. Not just shiny tech, but signals — early indications of how industries will actually change. And at CES 2026, Siemens isn’t just showing technology. They’re showing outcomes. That’s why the Siemens booths are high on my must-see list this year.Across three distinct experiences — Siemens Intelligence Experience […]

Read more →
When Industrial AI Learns the Wrong Lessons
· Hybrid Manufacturing

When Industrial AI Learns the Wrong Lessons

Industrial AI learns from history — but in most plants, that history is a mess.Behind every AI pilot, there’s a decade of process data, maintenance logs, and scanned reports that were never designed to work together. These systems contain the experience of the plant — what failed, what worked, what changed — but much of […]

Read more →
The Moment Manufacturing Broke Its Old Rules: How 2020 Sparked the Rise of the Connected Workforce
· Connected Industry

The Moment Manufacturing Broke Its Old Rules: How 2020 Sparked the Rise of the Connected Workforce

In April 2020, half of the world’s population was in lockdown — yet critical infrastructure still had to run. Chemical plants, glass facilities, refineries, and energy systems couldn’t pause. Equipment still failed. Processes, drifted, and operators needed expert support. But the experts were home.This single moment, according to Tony White — who leads the U.S. […]

Read more →
The Overlooked Data Problem Slowing Down Manufacturing AI
· Discrete Manufacturing

The Overlooked Data Problem Slowing Down Manufacturing AI

While manufacturers invest in AI and digital twin programs, the Adlib ebook “AI-Powered PLM in Manufacturing” reveals that most of the data required for those initiatives is buried in documents that machines can’t read. Across the industry, 80% of operational data is unstructured, and 90% of it is never used because it sits inside PDFs, CAD […]

Read more →