02793nam 22005413 450 991102875490332120251005110053.0979-88-6881-730-410.1007/979-8-8688-1730-4(MiAaPQ)EBC32320797(Au-PeEL)EBL32320797(CKB)41018934100041(CaSebORM)9798868817304(OCoLC)1541949723(OCoLC-P)1541949723(EXLCZ)994101893410004120250930d2025 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierThe Low-Code AI Maturity Model Leading Responsible AI Transformation with Microsoft Power Platform1st ed.Berkeley, CA :Apress L. P.,2025.©2025.1 online resource (433 pages)Professional and Applied Computing SeriesIncludes index.979-88-6881-729-8 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.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.Professional and Applied Computing SeriesBusinessData processingBusiness intelligenceArtificial intelligenceBusiness applicationsBusinessData processing.Business intelligence.Artificial intelligenceBusiness applications.658.4/038011Jeffery Steve1849203MiAaPQMiAaPQMiAaPQBOOK9911028754903321The Low-Code AI Maturity Model4438240UNINA