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Intelligenza artificiale per le imprese: Guida di riferimento per chi deve decidere
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Publisher: Iesl Press
Pages: 260
Weight: 0.78
Height: 0.55 Width: 6.00 Depth: 9.00
Language: Italian
Molte imprese stanno introducendo l'intelligenza artificiale. Poche, però, hanno un metodo per capire dove crea davvero valore e dove rischia invece di generare costi, vincoli e progetti inutili.
Intelligenza artificiale per le imprese nasce per chi deve prendere decisioni concrete: imprenditori, manager, consulenti e professionisti chiamati a valutare se un progetto di IA merita davvero di partire.
Il libro propone il Metodo dei Cinque Cancelli: Problema, Liceità , Dati, Economia, Presidio. Un percorso decisionale che obbliga a rispondere alle domande giuste nell'ordine giusto, prima che tempo e budget vengano compromessi.
Il punto di partenza non è la tecnologia, ma il problema: è reale, misurabile e abbastanza importante da giustificare un investimento? Da qui il metodo procede verificando la liceità dell'uso previsto, la disponibilità e qualità dei dati, la sostenibilità economica e la capacità dell'organizzazione di governare il sistema nel tempo.
Nel libro troverai:
- criteri pratici per individuare i casi d'uso che meritano davvero di partire
- strumenti per costruire business case realistici e misurare il ritorno dell'investimento
- indicazioni operative su AI Act, GDPR, governance del dato e rischi di conformitÃ
- criteri per valutare fornitori, costi nascosti, lock-in e responsabilità contrattuali
- casi e scenari decisionali applicabili a PMI e imprese strutturate
- checklist e una scheda operativa per arrivare a una decisione chiara: GO, STOP o RIVEDERE
Il volume affronta anche ciò che spesso rimane fuori dalle presentazioni commerciali: preparazione dei dati, costi di integrazione, manutenzione dei modelli, competenze interne, gestione del cambiamento, sicurezza, proprietà intellettuale e criteri di uscita da un progetto che non produce i risultati attesi.
Non è un manuale per programmatori e non promette scorciatoie. È una guida manageriale per capire quali domande porre, quali evidenze pretendere e come distinguere un progetto utile da una sperimentazione destinata a consumare budget e attenzione.
La tesi è semplice:
un'impresa matura nell'intelligenza artificiale non è quella che avvia più progetti, ma quella che scarta prima quelli sbagliati.
Per chi vuole trasformare l'IA da opportunità tecnologica a investimento consapevole, misurabile e governabile.
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