The Low-Code AI Maturity Model: Leading Responsible AI Transformation with Microsoft Power Platform
暫譯: 低代碼 AI 成熟度模型：利用 Microsoft Power Platform 引領負責任的 AI 轉型

Jeffery, Steve

The Low-Code AI Maturity Model: Leading Responsible AI Transformation with Microsoft Power Platform
  • 出版商: Apress
  • 出版日期: 2025-09-27
  • 售價: $1,990
  • 貴賓價: 9.5 折 $1,891
  • 語言: 英文
  • 頁數: 594
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798868817298
  • ISBN-13: 9798868817298
  • 相關分類: AI Coding

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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.

What You Will Learn

    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
Who This Book Is For

IT leaders, decision-makers, and technology enthusiasts interested in the transformative potential of low-code and AI

商品描述(中文翻譯)

從一位經驗豐富的 IT 專家的角度撰寫，本書利用成熟度模型框架指導組織在負責任且高效地採用、保護、擴展和追蹤低代碼 AI 的價值的每個階段。與其他僅專注於 AI 技術方面的作品不同，本書提供了一個負責任的 AI 採用實用路線圖，並提供了一個清晰、結構化的成熟度模型，指導組織從基礎步驟到進階的負責任 AI 實踐。

在組織面臨快速且負責任創新的壓力的世界中，本書提供了一個結構化的方法，解決了低代碼 AI 環境中的數據管理、治理、倫理和合規等基本要素。每一章代表一個成熟度水平，從基礎到優化，為讀者提供見解、實用步驟和範例，以支持他們的旅程。

《低代碼 AI 成熟度模型》全面探討了低代碼和 AI 的轉型潛力。

您將學到的內容：
- 識別、評估和減輕風險，以確保穩定和可靠的 AI 部署
- 實施健全的治理，確保在每個成熟度階段與合規標準和倫理原則保持一致
- 評估 AI 項目的實際商業價值和投資回報率，促進數據驅動的決策

本書適合對低代碼和 AI 的轉型潛力感興趣的 IT 領導者、決策者和技術愛好者。

作者簡介

Steve Jeffery has been an IT professional since 1996, with a career that spans hardware, software, consulting, and architecture. His journey started in hardware, evolving to software roles in the early 2000s, and ultimately leading to his current role as Principal Program Manager in Microsoft's Power CAT team. During the past 13 years at Microsoft, he has gained extensive experience working directly with large enterprise customers, guiding them in adopting Microsoft's Power Platform and helping them overcome the complex challenges of integrating new technologies at scale.

One of his most significant contributions has been to Microsoft's Center of Excellence (CoE) Starter Kit and the Business Value Toolkit--resources that have empowered organizations globally to deploy, manage, and drive value from low-code and AI solutions. As a recognized expert in low-code AI, he has a deep understanding of the practical and strategic elements required for successful adoption, from technical implementation to cultural alignment.

作者簡介(中文翻譯)

Steve Jeffery 自 1996 年以來一直是一名 IT 專業人士，職業生涯涵蓋硬體、軟體、顧問和架構。他的旅程始於硬體，並在 2000 年代初期轉向軟體角色，最終成為微軟 Power CAT 團隊的首席程式經理。在微軟工作的 13 年中，他積累了豐富的經驗，直接與大型企業客戶合作，指導他們採用微軟的 Power Platform，並幫助他們克服在大規模整合新技術時所面臨的複雜挑戰。

他對微軟的卓越中心 (Center of Excellence, CoE) 入門套件和商業價值工具包 (Business Value Toolkit)的貢獻尤為重要，這些資源使全球組織能夠部署、管理並從低代碼和 AI 解決方案中獲取價值。作為低代碼 AI 的公認專家，他對成功採用所需的實踐和策略要素有深刻的理解，涵蓋從技術實施到文化對齊的各個方面。

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