3. Hyper-specialization and scalability
3.1 Why hyper-specialization?
In maintenance, mistakes come at a cost. Inaccurate advice can waste hours or even pose a safety risk. Hence a simple rule: it’s better to have an AI that knows a little but knows it well than one that claims to know everything.
The cost of one hour of unplanned downtime depends on the sector in question (Table 3 ).
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Hyper-specialization and scalability
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