The Microsoft AI Insider's Playbook: Your Guide to Cloud Strategy and Digital Transformation (Paperback)
暫譯: Microsoft AI 內行人的實戰指南：雲端策略與數位轉型指南 (平裝本)

多數介紹 Microsoft AI 的書籍都在說明工具能做什麼；本書則進一步解釋這些工具為何如此設計，以及如何運用這些知識讓自己獲益。

Krishna C. Mukherjee 是 Microsoft 的先驅級技術專家。他所帶領的團隊推出了如今數億人使用的智慧輔助功能，包括 Microsoft Office 中的自動校正（AutoCorrect）、自動格式設定（AutoFormat），以及拼字與文法檢查工具。他曾負責設計 Intelligent Filing Manager，這是一套由 AI 驅動的合規系統，其宣告式、服務導向設計，預示了日後在 SaaS 平台中逐漸普及的架構模式。他也領導建立 Bloomberg Valuation Service，將預測分析應用於跨越不同資產類別的數百萬項金融工具。他的職涯橫跨大型主機、個人運算，以及當今的雲端運算與 AI 時代，始終專注於將先進能力轉化為實用的企業工具。

本書追溯 Microsoft 從早期創新發展至智慧企業的演進歷程，說明可用性、可擴充性與自動化如何形塑現代平台。接著進入實務主題：敏捷交付與高效流程設計；Azure、SaaS 與策略性雲端 AI 架構；Azure AI Services；Copilot 生態系；以及 Power Platform。全書內容皆奠基於實際的架構模式、案例研究，以及來自金融、醫療保健、零售與法律服務領域的經驗與教訓。

本書最終提供了一份清晰、以實務經驗為導向的指南，協助讀者建構現代雲端 AI 系統，並將 Microsoft 的平台設計決策與當今正在建置的系統連結起來。

您將學到的內容

• 設計並實作 Azure AI Services（現稱 Foundry Tools），包括 Azure OpenAI Service、Speech、Language、Vision 與 Document Intelligence，以建構企業級對話式 AI 與虛擬助理

• 應用資料管線、檢索增強式應用程式（retrieval-augmented applications）、模型服務（model serving）與 SaaS 整合的參考架構模式，同時在延遲、可靠性、品質與成本之間取得平衡

• 繪製業務流程、評估資料準備程度、量化影響，並規劃從概念驗證（proof of concept）到正式上線的分階段藍圖

• 從一開始就設計兼顧效能、成本與治理的雲端 AI 架構

• 在實務中治理 AI 部署，涵蓋安全性、隱私、合規性、監控、模型漂移偵測、事件回應與成本控管

本書適合讀者

負責規劃或執行 AI 驅動數位轉型的企業與雲端架構師、Azure 實務工作者，以及資料與機器學習領導者

Krishna C. Mukherjee is a pioneering Microsoft technologist, software architect, and technology executive whose work in artificial intelligence (AI) and enterprise systems has helped shape widely adopted computing platforms. His career spans mainframes, personal computing, and modern cloud-based AI, with a consistent focus on turning advanced capabilities into practical tools for enterprise use.

Krishna earned his bachelor's degree in electronics and electrical communication engineering from the Indian Institute of Technology (IIT) Kharagpur and his master's degree in computer science and engineering from IIT Kanpur. His early research in AI planning systems and natural language processing at IIT Kanpur laid the foundation for his long-term work in intelligent systems.

Recruited from IIT Kanpur to Microsoft Corporation in 1988, Krishna served on core engineering teams from the late 1980s through the mid-1990s and contributed to foundational technologies that underpin modern software ecosystems. His work included interoperability technologies such as Object Linking and Embedding and the Component Object Model, as well as automation capabilities in Microsoft Word and Microsoft Office. He helped develop WordBASIC, the macro language for Microsoft Word, and later contributed to Visual Basic for Applications. His teams shipped the early, largely rule-based intelligent assistance features in Microsoft Office, including AutoCorrect and AutoFormat. They also developed proofing capabilities, such as spelling and grammar checking, on the personal computer hardware of the time.

At Wolters Kluwer, Krishna shaped technology and business strategy, and architected the Intelligent Filing Manager. Its declarative design and service-oriented architecture foreshadowed patterns later common in software as a service platforms. At Bloomberg L.P., he led the creation of the Bloomberg Valuation Service, integrating AI-driven predictive analytics with advanced pricing algorithms to deliver transparent, defensible valuations for millions of financial instruments across asset classes.

Krishna later applied enterprise architecture and Microsoft technologies to modernize operational platforms at Icon Parking Systems (Icon) and Fidelity National Information Services, Inc. (FIS). His recent work centers on cloud strategy and digital transformation, using Azure AI Services to design and deploy interactive voice response systems, intelligent chatbots, and virtual assistants across finance, health care, retail, and legal services.

Krishna has received awards recognizing his contributions to AI and enterprise systems, including distinguished achievement awards from Microsoft and Wolters Kluwer, as well as the Albert Nelson Marquis Lifetime Achievement Award. His work at Bloomberg and FIS earned multiple commendations. In 2014, he received the Microsoft Most Valuable Professional (MVP) Award in the Microsoft Integration expertise category, recognizing exceptional contributions to technical communities. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery (ACM).

Krishna C. Mukherjee 是 Microsoft 的先驅級技術專家、軟體架構師與科技主管，長期投入人工智慧（AI）與企業系統領域，其工作協助形塑了廣泛採用的運算平台。他的職涯橫跨大型主機、個人電腦，以及現代雲端 AI，始終專注於將先進功能轉化為企業可實際應用的工具。

Krishna 取得 Indian Institute of Technology (IIT) Kharagpur 電子與電氣通訊工程學士學位，以及 IIT Kanpur 電腦科學與工程碩士學位。他早期在 IIT Kanpur 研究 AI 規劃系統與自然語言處理，為其長期投入智慧系統領域奠定了基礎。

1988 年，Krishna 從 IIT Kanpur 加入 Microsoft Corporation。自 1980 年代末期至 1990 年代中期，他任職於核心工程團隊，參與開發支撐現代軟體生態系統的基礎技術。他的工作包括 Object Linking and Embedding 與 Component Object Model 等互通性技術，以及 Microsoft Word 和 Microsoft Office 中的自動化功能。他協助開發 WordBASIC（Microsoft Word 的巨集語言），之後也參與 Visual Basic for Applications 的開發。他所屬的團隊推出了 Microsoft Office 早期、主要以規則為基礎的智慧輔助功能，包括 AutoCorrect 與 AutoFormat。他們也在當時的個人電腦硬體上開發了校對功能，例如拼字與文法檢查。

在 Wolters Kluwer 任職期間，Krishna 參與制定技術與業務策略，並設計 Intelligent Filing Manager。其宣告式設計與服務導向架構，預示了後來在軟體即服務平台中普遍採用的架構模式。在 Bloomberg L.P. 任職時，他領導建立 Bloomberg Valuation Service，將 AI 驅動的預測分析與進階定價演算法整合，為跨越各類資產的數百萬項金融工具提供透明且具充分依據的估值。

之後，Krishna 將企業架構與 Microsoft 技術應用於 Icon Parking Systems (Icon) 和 Fidelity National Information Services, Inc. (FIS)，協助現代化其營運平台。他近期的工作主要聚焦於雲端策略與數位轉型，運用 Azure AI Services，為金融、醫療、零售與法律服務等領域設計並部署互動式語音回應系統、智慧聊天機器人與虛擬助理。

Krishna 曾獲頒多項獎項，以表彰他在 AI 與企業系統領域的貢獻，包括 Microsoft 與 Wolters Kluwer 頒發的傑出成就獎，以及 Albert Nelson Marquis Lifetime Achievement Award。他在 Bloomberg 與 FIS 的工作也獲得多項嘉許。2014 年，他在 Microsoft Integration 專業領域獲頒 Microsoft Most Valuable Professional (MVP) Award，以表彰他對技術社群的卓越貢獻。他是 Institute of Electrical and Electronics Engineers (IEEE) 與 Association for Computing Machinery (ACM) 的資深會員。