How to find processes where AI can create value
A strong use case starts with a decision, bottleneck or measurable variation—not model selection.
Discuss the implications ↗INSIGHTS
Analysis of technologies changing organisations
Technical notes and perspectives on innovation, AI, robotics and digital transformation.
Why AI projects should begin with process analysis
Data, roles, exceptions and human control shape the architecture more than isolated technology.
Discuss the implications ↗From simulation model to a system connected with reality
State synchronisation, calibration and fidelity criteria separate a useful model from a visualisation.
Discuss the implications ↗What a software-defined factory really means
Modularity, interoperability and orchestration enable controlled reconfiguration of physical resources.
Discuss the implications ↗Robotisation or conventional automation?
Volume, variety, uncertainty, safety and process economics must be evaluated together.
Discuss the implications ↗How innovation can be engineered systematically
Functions, causes, contradictions and system resources make creativity more reproducible.
Discuss the implications ↗What to validate before investing in a smart product
Functional value, architecture, maturity, differentiation and the economic model should be tested gradually.
Discuss the implications ↗Why business models should be designed for disruption
Dependencies, options and early signals can be built before disruption becomes crisis.
Discuss the implications ↗