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The low-code AI maturity modelleadin...

Jeffery, Steve.

The low-code AI maturity modelleading responsible AI transformation with Microsoft Power Platform /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The low-code AI maturity modelby Steve Jeffery.
其他題名:	leading responsible AI transformation with Microsoft Power Platform /
作者:	Jeffery, Steve.
出版者:	Berkeley, CA :Apress :2025.
面頁冊數:	xxx, 594 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	BusinessData processing.
電子資源:	https://doi.org/10.1007/979-8-8688-1730-4
ISBN:	9798868817304$q(electronic bk.)

The low-code AI maturity modelleading 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$q(electronic bk.)

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

199085
Business
--Data processing.

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

Dewey Class. No.: 658.4038011

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