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Architecture d'entreprise pour l'intelligence artificielle: Méthode complète et fiches de résolution
Paperback
Series: Dynamap, Framework d'Architecture d'Entreprise
Publisher: Independently Published
Published: Jul 26 2026
Pages: 208
Weight: 0.86
Height: 0.54 Width: 6.00 Depth: 9.00
Language: French
L'intelligence artificielle redéfinit durablement le fonctionnement des organisations et une telle transformation ne s'improvise pas.
Elle doit être gouvernée, structurée et maîtrisée pour produire des bénéfices durables.
Lorsqu'elle repose sur une stratégie claire, une gouvernance rigoureuse et des données fiables, elle devient un puissant moyen de compétitivité et de création de valeur.
C'est pourtant là que se joue la réussite d'un projet.
Cette méthode propose une approche complète, progressive ou accessible par problématiques
Elle se veut opérationnelle pour déployer l'intelligence artificielle dans toute organisation, publique ou privée, sans perdre le contrôle de son patrimoine informationnel, de ses coûts ou de sa souveraineté numérique.
Au coeur de cette démarche se trouve le Master Data Management (MDM), véritable tour de contrôle de l'intelligence artificielle. Il garantit la qualité des données, leur traçabilité, leur gouvernance, leur cycle de vie et leur utilisation responsable.
Autour de ce socle viennent s'articuler l'architecture d'entreprise, la cybersécurité, les référentiels de données, les processus métiers, les agents IA, les modèles génératifs, les API, le FinOps, le MLOps, la conformité réglementaire, l'explicabilité, la gestion des risques et la conduite du changement.
Vous découvrirez une méthode complète permettant de:
construire une gouvernance de l'IA durable
préparer et qualifier les données avant toute automatisation
intégrer l'IA dans un système d'information existant sans rupture
industrialiser les modèles et les agents IA
maîtriser les coûts, les risques et les dépendances fournisseurs
répondre aux exigences du RGPD, de l'AI Act et des principales normes internationales
piloter la création de valeur grâce à des indicateurs mesurables
faire de l'intelligence artificielle un véritable levier stratégique au service de l'organisation.
Plus qu'un ouvrage sur l'intelligence artificielle, ce livre constitue un manuel de gouvernance, destiné aux dirigeants, DSI, architectes d'entreprise, RSSI, responsables métiers, chefs de projet, Data Owners, Data Stewards et décideurs souhaitant déployer une IA fiable, explicable et durable.
Yann-Eric DEVARS
Fondateur de Solve DSI
Créateur et éditeur du framework DYNAMAP SI
Solve DSI accompagne les organisations dans la maîtrise de leur système d'information, l'architecture d'entreprise, la gouvernance des données, la cybersécurité et la mise en oeuvre d'une intelligence artificielle responsable, souveraine et créatrice de valeur.
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