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Construction machinery
Understand first, then prioritise: the starting point for your own AI roadmap.
For a manufacturer of construction machinery and compact loaders, Vivaldi ran a two-day workshop to identify AI use cases: not a single inspection project, but a methodical format for getting started on the company's own AI roadmap. The result is a structured, shared starting point instead of an unclear "where do we start?".
Workshop agenda
Two days, one clear common thread
- Day 1:Fundamentals of machine learning, deep learning, computer vision and anomaly detection, practical examples from quality assurance and manufacturing, and a joint process mapping and pain point analysis from which specific use cases emerge using a use case canvas.
- Day 2:Prioritisation of the use cases by benefit and effort, outlined PoCs with hypothesis, KPIs and effort estimate, and a roadmap with the specific next steps.
Customer benefit
A structured starting point instead of an unclear "where do we start?"
Instead of a single inspection project, the result is a methodical, shared starting point: prioritised use cases, outlined PoCs and a specific roadmap for the next steps, as the basis for the company's own AI roadmap.
Your use case
Where do you stand with your AI roadmap today?
We will show you how a comparable workshop can give your company, too, a starting point for specific AI use cases.