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You Don’t Need to Train a Model: How Intelligent Systems Are Built with Data, Code and AI

Infografia tècnica sobre l’arquitectura d’un sistema amb IA. Mostra el flux des de diverses fonts de dades fins a la captura mitjançant scrapers, la normalització, l’aplicació de regles i scoring, l’ús de models d’intel·ligència artificial i la visualització de resultats. A la part inferior s’hi representen aplicacions en música, ocupació, recerca, borsa, esports i immobiliària.

Many useful AI systems do not require a custom-trained model. They combine data, code, scrapers, rules, scoring, automation and general-purpose AI models within a well-designed architecture.

  • Glòria Aladesa
  • 16/09/2026

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SLE – Rank of a Matrix and Consistency of Systems
The debate on emerging technologies and generative AI raises ethical and social challenges. Discover how human-AI symbiosis and nanotechnology may redefine work and society.
Emerging Technologies Debate: Generative AI, Ethics and the Future of Work
Minimalist illustration of a book combined with a neural network diagram, symbolising the foundations of Semantic Web Technologies, in DeGalaLab corporate colours (fuchsia, blue, grey) on a white background.
Foundations of Semantic Web Technologies
DKIM: verified and reliable emails with digital signature to enhance security and domain reputation.
What is DKIM in emails and why is it important?
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