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The Microsoft AI Insider’s Playbook: Your Guide to Cloud Strategy and Digital Transformation - Couverture souple

Mukherjee, Krishna C.

 
9798868827297: The Microsoft AI Insider’s Playbook: Your Guide to Cloud Strategy and Digital Transformation

Synopsis

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

  • 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

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.

À propos de l'auteur

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.