Most books on Microsoft AI explain what the tools do. This one explains why they were built that way―and how to use that knowledge to your advantage.
Krishna C. Mukherjee is a pioneering Microsoft technologist whose teams shipped the intelligent assistance features now used by hundreds of millions of people, including AutoCorrect, AutoFormat, and the spelling and grammar checkers in Microsoft Office. He architected the Intelligent Filing Manager, an AI-driven compliance system whose declarative, service-oriented design foreshadowed patterns that would later become common in SaaS platforms. He led the creation of the Bloomberg Valuation Service, applying predictive analytics to millions of financial instruments across asset classes. His career spans mainframes, personal computing, and the current era of cloud computing and AI, with a consistent focus on turning advanced capabilities into practical enterprise tools.
Tracing the evolution from Microsoft’s early innovations to the intelligent enterprise, the book shows how usability, scalability, and automation shaped the modern platform. It then moves into practice: Agile delivery and efficient process design; Azure, SaaS, and strategic cloud–AI architecture; Azure AI Services; the Copilot ecosystem; and the Power Platform―all grounded in real patterns, case studies, and lessons from finance, health care, retail, and legal services.
The result is a clear, experience-driven guide to building modern cloud–AI systems―connecting Microsoft’s platform decisions with the systems you are building today.
What You Will Learn
Who This Book Is For
Enterprise and cloud architects, Azure practitioners, and data and machine learning leaders responsible for planning or executing AI-driven digital transformation
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Krishna C. Mukherjee is a pioneering computer scientist, software architect, and business leader whose innovations in artificial intelligence and cloud computing have shaped the future of enterprise technology. An alumnus of IIT Kharagpur and IIT Kanpur, he began his career at Microsoft’s headquarters in Redmond in 1988, where he served as principal software architect and lead engineer. During his tenure, he made outstanding contributions to Microsoft’s flagship products―including Office, Windows, and Visual Studio―while also laying early foundations for AI-driven business workflows with his groundbreaking Intelligent Filing Manager.
Beyond Microsoft, he continued to influence the evolution of cloud and AI technologies in leadership roles across industries. As CIO at Wolters Kluwer, he helped pioneer SaaS delivery models with CTAdvantage, and at Bloomberg, he led the creation of the widely used Bloomberg Valuation Service (BVAL), transforming financial valuations with AI-powered analytics. Most recently, he has returned to the Microsoft ecosystem, applying Azure AI, Copilot, and Power Platform technologies to design next-generation voice assistants, chatbots, and enterprise AI solutions. His career reflects a rare blend of deep technical expertise and visionary leadership, making him a true pioneer of the digital transformation era.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. Most books on Microsoft AI explain what the tools do. This one explains why they were built that wayand how to use that knowledge to your advantage.Krishna C. Mukherjee is a pioneering Microsoft technologist whose teams shipped the intelligent assistance features now used by hundreds of millions of people, including AutoCorrect, AutoFormat, and the spelling and grammar checkers in Microsoft Office. He architected the Intelligent Filing Manager, an AI-driven compliance system whose declarative, service-oriented design foreshadowed patterns that would later become common in SaaS platforms. He led the creation of the Bloomberg Valuation Service, applying predictive analytics to millions of financial instruments across asset classes. His career spans mainframes, personal computing, and the current era of cloud computing and AI, with a consistent focus on turning advanced capabilities into practical enterprise tools.Tracing the evolution from Microsofts early innovations to the intelligent enterprise, the book shows how usability, scalability, and automation shaped the modern platform. It then moves into practice: Agile delivery and efficient process design; Azure, SaaS, and strategic cloudAI architecture; Azure AI Services; the Copilot ecosystem; and the Power Platformall grounded in real patterns, case studies, and lessons from finance, health care, retail, and legal services.The result is a clear, experience-driven guide to building modern cloudAI systemsconnecting Microsofts platform decisions with the systems you are building today.What You Will LearnArchitect 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 assistantsApply reference patterns for data pipelines, retrieval-augmented applications, model serving, and SaaS integration, while balancing latency, reliability, quality, and costMap business processes, assess data readiness, quantify impact, and prioritize a staged roadmap from proof of concept to productionDesign cloudAI architectures that balance performance, cost, and governance from the outsetGovern AI deployments in practice, covering security, privacy, compliance, monitoring, drift detection, incident response, and cost controlWho This Book Is For Enterprise and cloud architects, Azure practitioners, and data and machine learning leaders responsible for planning or executing AI-driven digital transformation color: black;">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 This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798868827297
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Most bookson Microsoft AI explain what the tools do. This one explains why they were built that way and how to use that knowledge to your advantage.Krishna C. Mukherjee is a pioneering Microsoft technologist whose teams shipped the intelligent assistance features now used by hundreds of millions of people, including AutoCorrect, AutoFormat, and the spelling and grammar checkers in Microsoft Office. He architected the Intelligent Filing Manager, an AI-driven compliance system whose declarative, service-oriented design foreshadowed patterns that would later become common in SaaS platforms. He led the creation of the Bloomberg Valuation Service, applying predictive analytics to millions of financial instruments across asset classes. His career spans mainframes, personal computing, and the current era of cloud computing and AI, with a consistent focus on turning advanced capabilities into practical enterprise tools.Tracing the evolution from Microsoft s early innovations to the intelligent enterprise, the book shows how usability, scalability, and automation shaped the modern platform. It then moves into practice: Agile delivery and efficient process design; Azure, SaaS, and strategic cloud AI architecture; Azure AI Services; the Copilot ecosystem; and the Power Platform all grounded in real patterns, case studies, and lessons from finance, health care, retail, and legal services.The result is a clear, experience-driven guide to building modern cloud AI systems connectingMicrosoft s platform decisions with the systems you are building today.What You Will LearnArchitect 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 assistantsApply reference patterns for data pipelines, retrieval-augmented applications, model serving, and SaaS integration, while balancing latency, reliability, quality, and costMap business processes, assess data readiness, quantify impact, and prioritize a staged roadmap from proof of concept to productionDesign cloud AI architectures that balance performance, cost, and governance from the outsetGovern AI deployments in practice, covering security, privacy, compliance, monitoring, drift detection, incident response, and cost control 684 pp. Englisch. N° de réf. du vendeur 9798868827297
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Most bookson Microsoft AI explain what the tools do. This one explains why they were built that way and how to use that knowledge to your advantage.Krishna C. Mukherjee is a pioneering Microsoft technologist whose teams shipped the intelligent assistance features now used by hundreds of millions of people, including AutoCorrect, AutoFormat, and the spelling and grammar checkers in Microsoft Office. He architected the Intelligent Filing Manager, an AI-driven compliance system whose declarative, service-oriented design foreshadowed patterns that would later become common in SaaS platforms. He led the creation of the Bloomberg Valuation Service, applying predictive analytics to millions of financial instruments across asset classes. His career spans mainframes, personal computing, and the current era of cloud computing and AI, with a consistent focus on turning advanced capabilities into practical enterprise tools.Tracing the evolution from Microsoft s early innovations to the intelligent enterprise, the book shows how usability, scalability, and automation shaped the modern platform. It then moves into practice: Agile delivery and efficient process design; Azure, SaaS, and strategic cloud AI architecture; Azure AI Services; the Copilot ecosystem; and the Power Platform all grounded in real patterns, case studies, and lessons from finance, health care, retail, and legal services.The result is a clear, experience-driven guide to building modern cloud AI systems connectingMicrosoft s platform decisions with the systems you are building today.What You Will LearnArchitect 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 assistantsApply reference patterns for data pipelines, retrieval-augmented applications, model serving, and SaaS integration, while balancing latency, reliability, quality, and costMap business processes, assess data readiness, quantify impact, and prioritize a staged roadmap from proof of concept to productionDesign cloud AI architectures that balance performance, cost, and governance from the outsetGovern AI deployments in practice, covering security, privacy, compliance, monitoring, drift detection, incident response, and cost control 684 pp. Englisch. N° de réf. du vendeur 9798868827297
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Taschenbuch. Etat : Neu. Neuware -Most books on Microsoft AI explain what the tools do. This one explains why they were built that wayand how to use that knowledge to your advantage.Krishna C. Mukherjee is a pioneering Microsoft technologist whose teams shipped the intelligent assistance features now used by hundreds of millions of people, including AutoCorrect, AutoFormat, and the spelling and grammar checkers in Microsoft Office. He architected the Intelligent Filing Manager, an AI-driven compliance system whose declarative, service-oriented design foreshadowed patterns that would later become common in SaaS platforms. He led the creation of the Bloomberg Valuation Service, applying predictive analytics to millions of financial instruments across asset classes. His career spans mainframes, personal computing, and the current era of cloud computing and AI, with a consistent focus on turning advanced capabilities into practical enterprise tools.Tracing the evolution from Microsoft's early innovations to the intelligent enterprise, the book shows how usability, scalability, and automation shaped the modern platform. It then moves into practice: Agile delivery and efficient process design; Azure, SaaS, and strategic cloudAI architecture; Azure AI Services; the Copilot ecosystem; and the Power Platformall grounded in real patterns, case studies, and lessons from finance, health care, retail, and legal services.The result is a clear, experience-driven guide to building modern cloudAI systemsconnecting Microsoft's platform decisions with the systems you are building today.What You Will Learn- 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 cloudAI 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 controlWho This Book Is For Enterprise and cloud architects, Azure practitioners, and data and machine learning leaders responsible for planning or executing AI-driven digital transformation. N° de réf. du vendeur 9798868827297
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Paperback. Etat : new. Paperback. Most books on Microsoft AI explain what the tools do. This one explains why they were built that wayand how to use that knowledge to your advantage.Krishna C. Mukherjee is a pioneering Microsoft technologist whose teams shipped the intelligent assistance features now used by hundreds of millions of people, including AutoCorrect, AutoFormat, and the spelling and grammar checkers in Microsoft Office. He architected the Intelligent Filing Manager, an AI-driven compliance system whose declarative, service-oriented design foreshadowed patterns that would later become common in SaaS platforms. He led the creation of the Bloomberg Valuation Service, applying predictive analytics to millions of financial instruments across asset classes. His career spans mainframes, personal computing, and the current era of cloud computing and AI, with a consistent focus on turning advanced capabilities into practical enterprise tools.Tracing the evolution from Microsofts early innovations to the intelligent enterprise, the book shows how usability, scalability, and automation shaped the modern platform. It then moves into practice: Agile delivery and efficient process design; Azure, SaaS, and strategic cloudAI architecture; Azure AI Services; the Copilot ecosystem; and the Power Platformall grounded in real patterns, case studies, and lessons from finance, health care, retail, and legal services.The result is a clear, experience-driven guide to building modern cloudAI systemsconnecting Microsofts platform decisions with the systems you are building today.What You Will LearnArchitect 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 assistantsApply reference patterns for data pipelines, retrieval-augmented applications, model serving, and SaaS integration, while balancing latency, reliability, quality, and costMap business processes, assess data readiness, quantify impact, and prioritize a staged roadmap from proof of concept to productionDesign cloudAI architectures that balance performance, cost, and governance from the outsetGovern AI deployments in practice, covering security, privacy, compliance, monitoring, drift detection, incident response, and cost controlWho This Book Is For Enterprise and cloud architects, Azure practitioners, and data and machine learning leaders responsible for planning or executing AI-driven digital transformation color: black;">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 This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798868827297
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Taschenbuch. Etat : Neu. Neuware - Most bookson Microsoft AI explain what the tools do. This one explains why they were built that way and how to use that knowledge to your advantage.Krishna C. Mukherjee is a pioneering Microsoft technologist whose teams shipped the intelligent assistance features now used by hundreds of millions of people, including AutoCorrect, AutoFormat, and the spelling and grammar checkers in Microsoft Office. He architected the Intelligent Filing Manager, an AI-driven compliance system whose declarative, service-oriented design foreshadowed patterns that would later become common in SaaS platforms. He led the creation of the Bloomberg Valuation Service, applying predictive analytics to millions of financial instruments across asset classes. His career spans mainframes, personal computing, and the current era of cloud computing and AI, with a consistent focus on turning advanced capabilities into practical enterprise tools.Tracing the evolution from Microsoft s early innovations to the intelligent enterprise, the book shows how usability, scalability, and automation shaped the modern platform. It then moves into practice: Agile delivery and efficient process design; Azure, SaaS, and strategic cloud AI architecture; Azure AI Services; the Copilot ecosystem; and the Power Platform all grounded in real patterns, case studies, and lessons from finance, health care, retail, and legal services.The result is a clear, experience-driven guide to building modern cloud AI systems connectingMicrosoft s platform decisions with the systems you are building today.What You Will LearnArchitect 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 assistantsApply reference patterns for data pipelines, retrieval-augmented applications, model serving, and SaaS integration, while balancing latency, reliability, quality, and costMap business processes, assess data readiness, quantify impact, and prioritize a staged roadmap from proof of concept to productionDesign cloud AI architectures that balance performance, cost, and governance from the outsetGovern AI deployments in practice, covering security, privacy, compliance, monitoring, drift detection, incident response, and cost control. N° de réf. du vendeur 9798868827297
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Taschenbuch. Etat : Neu. The Microsoft AI Insider's Playbook | Your Guide to Cloud Strategy and Digital Transformation | Krishna C. Mukherjee | Taschenbuch | xxix | Englisch | 2026 | Apress | EAN 9798868827297 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 135899876
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