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The low-code AI maturity model = lea...

Jeffery, Steve.

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The low-code AI maturity model = leading responsible AI transformation with Microsoft Power Platform /

Record Type:	Electronic resources : Monograph/item
Title/Author:	The low-code AI maturity model/ by Steve Jeffery.
Reminder of title:	leading responsible AI transformation with Microsoft Power Platform /
Author:	Jeffery, Steve.
Published:	Berkeley, CA :Apress : : 2025.,
Description:	xxx, 594 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Business - Data processing. -
Online resource:	https://doi.org/10.1007/979-8-8688-1730-4
ISBN:	9798868817304

The low-code AI maturity model = leading responsible AI transformation with Microsoft Power Platform /
Jeffery, Steve.

The low-code AI maturity modelleading responsible AI transformation with Microsoft Power Platform /[electronic resource] :by Steve Jeffery. - Berkeley, CA :Apress :2025. - xxx, 594 p. :ill., digital ;24 cm.

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. Unlike other works that focus only on AI's technical aspects, this book boasts a practical roadmap for responsible AI adoption and provides a clear, structured maturity model that guides organizations from foundational steps to advanced, responsible AI practices. In a world where organizations are under pressure to innovate quickly and responsibly, this book provides a structured approach, addressing essential elements such as data management, governance, ethics and compliance in low-code AI environments. Each chapter represents a maturity level, from foundational to optimized, offering readers insights, practical steps and examples to support their journey. The Low-Code AI Maturity Model takes a comprehensive look into the transformative potential of low-code and AI. You will: Identify, assess and mitigate risks to ensure stable and reliable AI deployments Implement robust governance, aligning with compliance standards and ethical principles at each maturity stage Evaluate the real business value and ROI of AI projects, empowering data-driven decision-making.

ISBN: 9798868817304

Standard No.: 10.1007/979-8-8688-1730-4doiSubjects--Topical Terms:

527441
Business
--Data processing.

LC Class. No.: QA76.76.M52 / J44 2025

Dewey Class. No.: 658.4038011

The low-code AI maturity model = leading responsible AI transformation with Microsoft Power Platform /
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505 0 $a 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.
520 $a 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. Unlike other works that focus only on AI's technical aspects, this book boasts a practical roadmap for responsible AI adoption and provides a clear, structured maturity model that guides organizations from foundational steps to advanced, responsible AI practices. In a world where organizations are under pressure to innovate quickly and responsibly, this book provides a structured approach, addressing essential elements such as data management, governance, ethics and compliance in low-code AI environments. Each chapter represents a maturity level, from foundational to optimized, offering readers insights, practical steps and examples to support their journey. The Low-Code AI Maturity Model takes a comprehensive look into the transformative potential of low-code and AI. You will: Identify, assess and mitigate risks to ensure stable and reliable AI deployments Implement robust governance, aligning with compliance standards and ethical principles at each maturity stage Evaluate the real business value and ROI of AI projects, empowering data-driven decision-making.
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