The Microsoft AI Insider's Playbook: Your Guide to Cloud Strategy and Digital Transformation
暫譯: 微軟 AI 內部人手冊：雲端策略與數位轉型指南
Mukherjee, Krishna C.
相關主題
商品描述
- Architect and implement Azure AI Services (now Foundry Tools), including Azure OpenAI Service, Speech, Language, Vision, and Document Intelligence, to build enterprise-grade conversational AI and virtual assistants Apply reference patterns for data pipelines, retrieval-augmented applications, model serving, and SaaS integration, while balancing latency, reliability, quality, and cost Map business processes, assess data readiness, quantify impact, and prioritize a staged roadmap from proof of concept to production Design cloud-AI architectures that balance performance, cost, and governance from the outset Govern AI deployments in practice, covering security, privacy, compliance, monitoring, drift detection, incident response, and cost control
商品描述(中文翻譯)
大多數關於 Microsoft AI 的書籍解釋工具的功能，而這本書則解釋了為什麼這些工具是這樣構建的，以及如何利用這些知識為自己帶來優勢。克里希納·C·穆克吉（Krishna C. Mukherjee）是一位開創性的 Microsoft 技術專家，他的團隊推出了現在被數億人使用的智能助手功能，包括 Microsoft Office 中的自動更正、自動格式化以及拼寫和語法檢查器。他設計了智能檔案管理器（Intelligent Filing Manager），這是一個以 AI 驅動的合規系統，其聲明式、服務導向的設計預示了後來在 SaaS 平台中變得普遍的模式。他主導了彭博估值服務（Bloomberg Valuation Service）的創建，將預測分析應用於跨資產類別的數百萬金融工具。他的職業生涯涵蓋了大型主機、個人計算和當前的雲計算及 AI 時代，始終專注於將先進的能力轉化為實用的企業工具。
本書追溯了 Microsoft 早期創新到智能企業的演變，展示了可用性、可擴展性和自動化如何塑造現代平台。接著進入實踐：敏捷交付和高效的流程設計；Azure、SaaS 和戰略雲-AI 架構；Azure AI 服務；Copilot 生態系統；以及 Power Platform——所有內容都基於真實的模式、案例研究和來自金融、醫療保健、零售和法律服務的經驗教訓。
最終，這本書提供了一個清晰、以經驗為驅動的現代雲-AI 系統構建指南——將 Microsoft 的平台決策與您今天正在構建的系統相連接。
您將學到的內容：
- 設計和實施 Azure AI 服務（現在稱為 Foundry Tools），包括 Azure OpenAI 服務、語音、語言、視覺和文檔智能，以構建企業級的對話式 AI 和虛擬助手
- 應用數據管道、檢索增強應用、模型服務和 SaaS 整合的參考模式，同時平衡延遲、可靠性、質量和成本
- 繪製業務流程，評估數據準備情況，量化影響，並優先考慮從概念驗證到生產的分階段路線圖
- 設計雲-AI 架構，從一開始就平衡性能、成本和治理
- 在實踐中管理 AI 部署，涵蓋安全性、隱私、合規性、監控、漂移檢測、事件響應和成本控制
本書適合對象：
企業和雲架構師、Azure 實踐者，以及負責規劃或執行 AI 驅動的數位轉型的數據和機器學習領導者。
作者簡介
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).
作者簡介(中文翻譯)
Krishna C. Mukherjee 是一位開創性的微軟技術專家、軟體架構師和技術高管，他在人工智慧 (AI) 和企業系統方面的工作幫助塑造了廣泛採用的計算平台。他的職業生涯涵蓋大型主機、個人計算和現代雲端 AI，始終專注於將先進的能力轉化為企業使用的實用工具。
Krishna 在印度理工學院 (IIT) 卡哈爾古爾獲得電子與電氣通信工程學士學位，並在印度理工學院 (IIT) 坎普爾獲得計算機科學與工程碩士學位。他在 IIT 坎普爾對 AI 規劃系統和自然語言處理的早期研究為他在智能系統方面的長期工作奠定了基礎。
Krishna 於 1988 年從 IIT 坎普爾被微軟公司招募，並在 1980 年代末至 1990 年代中期擔任核心工程團隊成員，為現代軟體生態系統的基礎技術做出了貢獻。他的工作包括互操作性技術，如物件連結與嵌入 (OLE) 和元件物件模型 (COM)，以及 Microsoft Word 和 Microsoft Office 中的自動化功能。他幫助開發了 Microsoft Word 的宏語言 WordBASIC，並後來為 Visual Basic for Applications 做出了貢獻。他的團隊推出了 Microsoft Office 中早期的、主要基於規則的智能輔助功能，包括自動更正和自動格式化。他們還在當時的個人電腦硬體上開發了拼寫和語法檢查等校對功能。
在 Wolters Kluwer，Krishna 形塑了技術和商業策略，並設計了智能檔案管理器。其聲明式設計和面向服務的架構預示了後來在軟體即服務平台中常見的模式。在 Bloomberg L.P.，他領導創建了 Bloomberg 評價服務，將 AI 驅動的預測分析與先進的定價算法整合，以提供透明且可辯護的多種資產類別的金融工具評價。
Krishna 後來將企業架構和微軟技術應用於 Icon Parking Systems (Icon) 和 Fidelity National Information Services, Inc. (FIS) 的運營平台現代化。他最近的工作集中在雲端策略和數位轉型，利用 Azure AI Services 設計和部署互動式語音回應系統、智能聊天機器人和虛擬助手，涵蓋金融、醫療保健、零售和法律服務等領域。
Krishna 獲得了多項獎項，以表彰他對 AI 和企業系統的貢獻，包括微軟和 Wolters Kluwer 的傑出成就獎，以及阿爾伯特·尼爾森·馬奎斯終身成就獎。他在 Bloomberg 和 FIS 的工作也獲得了多項表彰。2014 年，他在微軟整合專業領域獲得微軟最有價值專業人士 (MVP) 獎，以表彰他對技術社群的卓越貢獻。他是電氣和電子工程師學會 (IEEE) 和計算機協會 (ACM) 的資深會員。
