August 2026
Intermediate
548 pages
18h 47m
French
Content preview from Ingénierie des données pour l'IA multimodale (French Edition)
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Chapitre 6. Stockage et récupérationdes données pour l'IA multimodale
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Si tu penses qu’on va parler de systèmes de stockage backend passifs, tu vas en prendre plein les yeux.
Le stockage et la récupération constituant le socle cognitif des applications d’IA multimodale, le stockage est tout sauf passif.
Alors que les entreprises s’orientent vers des systèmes autonomes capables de percevoir, de raisonner et d’agir à travers différentes modalités, l’infrastructure qui alimente ces systèmes doit évoluer. Ce chapitre explore les fondements architecturaux du stockage et de la récupération des données dans les environnements d’IA multimodale à grande échelle, en mettant l’accent sur les exigences en matière d’hétérogénéité, de latence, de rappel sémantique et de raisonnement intermodal.
On suit le parcours de TelMo, un leader fictif des télécommunications qui développe une intelligence réseau autonome, pour découvrir comment les niveaux de stockage cloud-native, les bases de données vectorielles et graphiques, ainsi que les stratégies de mise en cache, alimentent les charges de travail d’IA cross-modales en temps réel. Des indicateurs clés de performance (KPI) structurés aux images filmées par drone, chaque octet est récupérable à des fins précises.
À la fin, tu auras un plan d’action pour mettre en place un système hybride de stockage et de récupération ...
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