Smart Manufacturing
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 When operators unknowingly act on outdated or incomplete data, quality suffers first, followed by…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…
Scaling AI-driven reliability in process manufacturing: culture first, then code
AI, prescriptive maintenance, and edge analytics are reshaping how process plants run. Yet the gap between a successful pilot and full-scale impact rarely closes on technology alone. The differentiators are culture, operating model, and data foundations.…
Inside Merck’s smart manufacturing revolution
An in depth conversation with Michelangelo Canzoneri, Global Head of Group Smart Manufacturing at Merck KGaA, Darmstadt, Germany Interview by Jan Burian Headquartered in Darmstadt, Germany, Merck employs around 65,000 people in 66 countries, contributing to…
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…
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,…
AI May Be Ready for Manufacturing. But Is Manufacturing Ready for AI?
For the past few years, manufacturers have heard the same message on repeat: AI is ready for industry. But a quieter question is now being asked inside control rooms and boardrooms alike — is industry ready for AI?…
Industrial AI’s Next Phase: Proof Before Scale
At Infinite Uptime’s CXO Circle in Bangkok, the discussion around industrial AI felt different. The room was filled with people who run plants. They weren’t asking whether AI belongs in manufacturing anymore. They were asking how…
How IIoT Is Bringing Data-Driven Quality to Industrial Fabrication
Quality control in industrial fabrication is undergoing a fundamental shift, from reactive inspection to predictive, data-driven assurance powered by IIoT sensor networks and advanced analytics. In this guide, IIoT World examines how manufacturers are deploying connected…
By 2028, Plants Won’t Just Run Themselves—They’ll Tell You Why
By 2028, AI-driven industrial plants will not only run autonomously, they will explain their decisions in real time. At the Honeywell User Group in The Hague, Honeywell Chief Product Officer Claudia Chandra and Adlib CEO Chris…
The AI Scaling Problem Nobody’s Solving: Why 140 Applications Delivered Zero Scale
An upstream oil company in Asia built 140 AI applications across 11 offshore assets. Every application was critical to operations. None of them scaled beyond the site where it was built. Jason Schern, Field CTO at…
When Yield Becomes Sustainability — Redefining Efficiency in Semiconductor Manufacturing
In semiconductor manufacturing, every scrapped wafer wastes electricity, water, and chemicals. Siemens' Brian Taylor states that sustainability "is not a separate track" from yield and throughput. The most efficient fab is, by this measure, the most…