Krishna c mukherjee (14 risultati)
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Da: California Books, Miami, FL, U.S.A.California Books
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Taschenbuch. Condizione: 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 mil…lions 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.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: 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 mi…llions 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.
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Taschenbuch. Condizione: 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 Berli…n, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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Paperback. Condizione: New. 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 p…eople, 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 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 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.
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Da: Books-by-Floh, Paderborn, GermaniaBooks-by-Floh
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Taschenbuch. Condizione: 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 mil…lions 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 684 pp. Englisch.
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Paperback. Condizione: 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 mil…lions 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.
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Da: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, GermaniaRheinberg-Buch Andreas Meier eK
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EUR 64,19
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Taschenbuch. Condizione: 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.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: 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.
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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Paperback. Condizione: 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 mil…lions 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.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 64,19
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 int…elligent 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 transformationSpringer Nature Customer Service Center GmbH, Europaplatz 3,69115 Heidelberg, Germany, Heidelberg 684 pp. Englisch.
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Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Paperback. Condizione: 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 mil…lions 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 Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
