From prompt to product: turning AI models into real business solutions | FactaeFrom prompt to product: turning AI models into real business solutions
A developer exposes the gap between demonstrating an AI model and deploying it at commercial scale.
Published 12sem·1 sourceNotable
The fact
Challenges include system integration, inference cost management, data governance, and customer expectations.
Successful projects require an iterative approach and close collaboration between data science and engineering.
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Les équipes doivent allouer 60 à 70 pour cent de leurs ressources à l'ingénierie plutôt qu'à la modélisation
Auto-synthesis from 1 media source · identified on April 27, 2026