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L'écart, c'est vous.: Décider, construire, vérifier et durer avec l'IA
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ISBN13: 9782925678007
Publisher: Editions St
Pages: 296
Weight: 0.76
Height: 0.62 Width: 5.50 Depth: 8.50
Language: French
Vous avez compris pourquoi l'IA change tout. Ce livre vous dit comment décider, construire, vérifier et durer.
Une question revient à la fin de presque toutes les conférences de l'auteur: N'as-tu pas peur que ça remplace des emplois ? Il y répond enfin, honnêtement - ni slogan rassurant, ni slogan alarmiste.
Parce que la vraie question n'est pas si l'IA va tout changer. Elle est déjà en train de le faire. La vraie question, c'est: qui, dans votre entreprise, saura décider quoi automatiser, comment le construire, comment le vérifier - et faire durer tout ça bien après que le prochain outil à la mode aura changé de nom ?
La thèse de ce livre tient en une phrase: l'IA n'amplifie pas ce qu'elle sait. Elle amplifie ce que vous savez déjà .
Un novice outillé produit des erreurs plausibles, bien formulées, avec assurance - et ne le sait pas. Un expert outillé va trois fois plus loin qu'avant. L'outil relève le plancher de la production. Le plafond, lui, reste humain. Et l'écart entre les deux, c'est exactement l'expérience. C'est vous.
Organisé non pas par sujet, mais par étape de raisonnement, ce livre vous guide en quatre temps:
- Les invariants - ce qui a vraiment changé, le seul modèle mental qui vous évite de tomber dans une réponse fausse mais bien tournée, et comment découper une tâche avant de la déléguer.
- Du cas d'usage au système - cartographier avant d'outiller, construire un flux qui tient la route, faire de votre documentation votre véritable actif, et concevoir une vérification qui ne repose pas sur la chance.
- L'organisation - mettre les gens avant les outils, chiffrer l'économie réelle d'un projet, encadrer les données et la confidentialité, gouverner sans rédiger quarante pages que personne ne lira.
- Durer - mesurer ce qui compte vraiment, rester réversible, et comprendre ce que l'IA ne banalisera jamais.
Quatre situations réelles reviennent d'un chapitre à l'autre - une usine de livres de mots cachés, une évaluation de propriété, un dossier de valeur d'entreprise, un compte rendu de réunion - pour que chaque principe se voie appliqué, chiffres et ratés compris. Vous reconnaîtrez probablement votre propre entreprise dans l'une d'elles avant même d'arriver au quatrième chapitre.
Ce que ce livre ne fera pas: vous montrer un outil précis, un nom de produit, une capture d'écran. Aucun nom, aucune version - parce qu'un livre qui explique un outil vieillit à la vitesse de cet outil. L'écart, c'est vous. parle de classes de capacités et de raisonnement durable: ce qui reste vrai quand le nom de tous les outils actuels aura changé deux fois.
Ce que vous en repartirez: quatorze livrables concrets, un par chapitre - grille de décision, carte de flux, matrice de contrôle, politique d'usage en une page, tableau de bord, plan de démarrage 90 jours, et plus - conçus pour servir dès lundi matin, pas seulement pour se lire.
Ce livre est pour vous si:
- vous dirigez une PME et voulez décider sans vous fier au bruit ambiant sur l'IA;
- vous êtes gestionnaire et devez faire un choix que vous ne pourrez pas facilement défaire;
- vous êtes consultant et cherchez un cadre à transmettre à vos clients, pas un tutoriel qui périmera dans six mois.
Après plus de trente ans en technologie et en entrepreneuriat, et des années passées à tester, comparer et intégrer l'IA dans ses propres entreprises, l'auteur écrit pour des gens qui veulent des résultats - pas pour des gens qui veulent devenir des experts en IA.
Vous avez compris pourquoi. Il est temps d'apprendre comment.
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