Who Controls AI-Generated Factory Software?

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

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

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

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…

Atoms, Bits, and Neurons: The 2026 Mandate for Zero-Defect Manufacturing

Atoms, Bits, and Neurons: The 2026 Mandate for Zero-Defect Manufacturing

The transition to Industry 4.0 has long been stalled by the “Data Silo” problem. In 2026, the conversation has shifted. Leading manufacturers are synchronizing Atoms (physical goods), Bits (digital data), and Neurons (human intelligence) through a paradigm known as Liquid Computing.This isn’t…