Smart Manufacturing
One AI Project Saves Manufacturers $5 Million a Year
GlobalLogic built procurement systems that save some clients $5 million a year by modernizing invoicing processes, and contributed to Hitachi Rail's most digitally advanced factory worldwide, a 300,000 ft² facility in Hagerstown, Maryland. "It's time for…
From Pilot to Profit: Operationalizing the “Atoms-Bits-Neurons” Framework
If the 2026 mandate for manufacturers is the synchronization of physical goods, digital data, and human intelligence, the immediate challenge is execution. While the vision of "Liquid Computing" sets the stage, the transition to a zero-defect floor…
Private vs Public vs Hybrid 5G: What Manufacturers Need to Know
Choosing the right 5G network architecture is one of the most consequential connectivity decisions a manufacturer can make. Private 5G offers dedicated spectrum and ultra-low latency for mission-critical automation; public 5G provides broad coverage with minimal…
Who Controls AI-Generated Factory Software?
Someone responsible solely for operating a CNC machine or an extruder can now generate a production-ready application through a prompt. In this IIoT World interview recorded with Lucian Fogoros at Hannover Messe 2026, Peter Sorowka (CEO,…
What Edge AI Needs from Industrial Data
A temperature reading with a timestamp does not tell you whether it is Fahrenheit or centigrade, which factory generated it, which production line, or which asset. Without that context, the data cannot drive a decision. At…
Data Context Decides Industrial AI Results
For two decades, manufacturers have tried to make analytics, machine learning, and AI work with industrial data, and for most of that time the bottleneck had nothing to do with the technology itself. It was the…
Case Study: From 2 Production Updates a Year to 2 a Day
A German automotive manufacturer with 37,000 employees and 3 production sites used to stop the line for up to three hours every time it needed a configuration update. Each update cost between €280,000 and €1,700,000. The…
Why Your Factory’s AI Keeps Failing: The One Document You Forgot
You installed the sensors. You bought the AI license. You hired the data scientist. Yet your million-dollar pilot is stuck, delivering quirky answers that no one on the floor dares to trust. The problem isn't your…
Industrial Foundation Models Could Become Europe’s Strongest Manufacturing Advantage
Manufacturing knowledge is fragmented and mostly unused European manufacturers collectively hold decades of deep production knowledge: how materials behave, how machines are tuned, how quality issues emerge, how processes fail and recover. Yet this knowledge remains…
The Signal vs. Noise Ratio: Solving Alert Fatigue in the Modern Factory
In 2026, the primary barrier to manufacturing efficiency is the abundance of data. Modern plants now monitor tens of thousands of assets and hundreds of thousands of individual points. However, this connectivity has created a new…
The OT Veto: When Your Plant Floor Has Final Say on Your Digital Strategy
There is an unspoken rule in manufacturing technology that overrides every software license, every boardroom mandate, and every digital transformation roadmap. It is the OT Veto. This isn’t a failure of leadership or vision. It is…
Seeking Popular Smart Factory Technologies? The 2026 Innovation Stack
Manufacturing has shifted into a phase of scaled execution. Today, leaders build autonomous systems that contextualize, secure, and act on data in real time. Based on insights from industry leaders at previous editions of IIoT World…