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| Autore: |
Jeffery Steve
|
| Titolo: |
The Low-Code AI Maturity Model : Leading Responsible AI Transformation with Microsoft Power Platform
|
| Pubblicazione: | Berkeley, CA : , : Apress L. P., , 2025 |
| ©2025 | |
| Edizione: | 1st ed. |
| Descrizione fisica: | 1 online resource (433 pages) |
| Disciplina: | 658.4/038011 |
| Soggetto topico: | Business - Data processing |
| Business intelligence | |
| Artificial intelligence - Business applications | |
| Note generali: | Includes index. |
| Nota di contenuto: | Part 1: Leadership and Culture -- Chapter 1: Foundational: Leadership and Culture -- Chapter 2: Emerging: Leadership and Culture -- Chapter 3: Operationalized: Leadership and culture -- Chapter 4: Integrated Excellence: Leadership and Culture -- Part 2: Establishing Trust and Governance -- Chapter 5: Foundational: EstablishingTrust and Governance -- Chapter 6: Emerging: Establishing Trust and Governance -- Chapter 7: Operationalized: Establishing Trust and Governance -- Chapter 8: Integrated Excellence:Establishing Trust and Governance -- Part 3: Data Readiness and Security -- Chapter 9: Foundational: Data Readiness and Security -- Chapter 10: Emerging: Data Readiness and Security- Chapter 11: Data Readiness and Security: Operationalized Stage -- Chapter 12: Data Readiness and Security: Integrated Excellence Stage -- Chapter 13: The Journey Forward: Leadership in the Age of Low-Code AI. |
| Sommario/riassunto: | Written from the perspective of an experienced IT expert, this book leverages a maturity model framework to guide organizations through each stage of adopting, securing, scaling, and tracking the value of low-code AI responsibly and efficiently. |
| Titolo autorizzato: | The Low-Code AI Maturity Model ![]() |
| ISBN: | 979-88-6881-730-4 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9911028754903321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |