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  • Idioma: Inglés

    Editorial: Entaix, 2026

    9798256295110

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    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

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    Condición: Nuevo

    EUR 32,74

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    Cantidad disponible: Más de 20 disponibles

    Condición: New.

  • Idioma: Inglés

    Editorial: Entaix, 2026

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    Librería: CreativeCenters, Peoria, IL, Estados Unidos de AmericaCreativeCenters

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    Condición: Nuevo

    EUR 27,86

    Envío por EUR 4,86 
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    Cantidad disponible: 1 disponible

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    paperback. Condición: New.

  • Idioma: Inglés

    Editorial: Entaix, 2026

    9798256295110

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    Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

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    Condición: Nuevo

    EUR 32,73

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    Cantidad disponible: 1 disponible

    Paperback. Condición: new. Paperback. Artificial Intelligence is transforming how organizations innovate, operate, and compete. As AI evolves from experimental tools into enterprise-wide platforms and autonomous systems, knowing how to design, govern, secure, and scale AI is essential for students, technology leaders, and executives.The Architectural Compass: Mastering Enterprise AI is a practical guide to turning AI experiments into reliable, business-focused systems that deliver measurable value. Rather than focusing on a single vendor or model, this handbook offers a comprehensive view of the entire Enterprise AI ecosystem.What You Will Learn: AI Foundations & Evolution: Transitioning from traditional software to autonomous AI systems.Architecture & Infrastructure: Scalable designs across cloud, hybrid, NeoCloud, GPU, and on-premises environments.AI Agents & LLMs: Building, testing, and deploying autonomous agents and complex workflows.Operations & Observability: Applying MLOps, LLMOps, AIOps, and FinOps principles.Governance, Risk & Trust: Securing data, ensuring compliance, and managing enterprise risk.Strategy & Value: Adoption roadmaps, ROI metrics, and business transformation leadership.Future Projections: Emerging trends and architectural shifts shaping enterprises through 2035.Organized Into 7 Core Parts: AI Foundations - Core concepts and principles for intelligent systems.AI Architecture - Enterprise platforms, data, models, and operations.Building AI Agents - Autonomous workflows and agent design.AI Governance, Risk & Trust - Security, compliance, and responsible AI.Strategy & Success - Adoption roadmaps, cost management, and ROI.The Future of AI - Emerging roles and the path to autonomous enterprises.Quick Reference - Essential frameworks, terminology, and tools.Who Should Read This Book?CIOs, CTOs, Chief AI Officers, enterprise architects, software developers, AI engineers, data scientists, cybersecurity leaders, students, and educators. Designed for executives, architects, developers, and tech leaders, this book is a practical guide to Enterprise AI-covering architecture, governance, LLMs, agents, and scaling for impact. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

  • Idioma: Inglés

    Editorial: Entaix, 2026

    9798256295110

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 40,71

    Envío por EUR 35,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial Intelligence is transforming how organizations innovate, operate, and compete. As AI evolves from experimental tools into enterprise-wide platforms and autonomous systems, knowing how to design, govern, secure, and scale AI is essential for students, technology leaders, and executives.The Architectural Compass: Mastering Enterprise AI is a practical guide to turning AI experiments into reliable, business-focused systems that deliver measurable value. Rather than focusing on a single vendor or model, this handbook offers a comprehensive view of the entire Enterprise AI ecosystem.What You Will Learn: - AI Foundations & Evolution: Transitioning from traditional software to autonomous AI systems.- Architecture & Infrastructure: Scalable designs across cloud, hybrid, NeoCloud, GPU, and on-premises environments.- AI Agents & LLMs: Building, testing, and deploying autonomous agents and complex workflows.- Operations & Observability: Applying MLOps, LLMOps, AIOps, and FinOps principles.- Governance, Risk & Trust: Securing data, ensuring compliance, and managing enterprise risk.- Strategy & Value: Adoption roadmaps, ROI metrics, and business transformation leadership.- Future Projections: Emerging trends and architectural shifts shaping enterprises through 2035.Organized Into 7 Core Parts: - AI Foundations - Core concepts and principles for intelligent systems.- AI Architecture - Enterprise platforms, data, models, and operations.- Building AI Agents - Autonomous workflows and agent design.- AI Governance, Risk & Trust - Security, compliance, and responsible AI.- Strategy & Success - Adoption roadmaps, cost management, and ROI.- The Future of AI - Emerging roles and the path to autonomous enterprises.- Quick Reference - Essential frameworks, terminology, and tools.Who Should Read This Book CIOs, CTOs, Chief AI Officers, enterprise architects, software developers, AI engineers, data scientists, cybersecurity leaders, students, and educators. …

  • Idioma: Inglés

    Editorial: Entaix, 2026

    9798256295110

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    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 36,17

    Envío por EUR 43,33 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Paperback. Condición: new. Paperback. Artificial Intelligence is transforming how organizations innovate, operate, and compete. As AI evolves from experimental tools into enterprise-wide platforms and autonomous systems, knowing how to design, govern, secure, and scale AI is essential for students, technology leaders, and executives.The Architectural Compass: Mastering Enterprise AI is a practical guide to turning AI experiments into reliable, business-focused systems that deliver measurable value. Rather than focusing on a single vendor or model, this handbook offers a comprehensive view of the entire Enterprise AI ecosystem.What You Will Learn: AI Foundations & Evolution: Transitioning from traditional software to autonomous AI systems.Architecture & Infrastructure: Scalable designs across cloud, hybrid, NeoCloud, GPU, and on-premises environments.AI Agents & LLMs: Building, testing, and deploying autonomous agents and complex workflows.Operations & Observability: Applying MLOps, LLMOps, AIOps, and FinOps principles.Governance, Risk & Trust: Securing data, ensuring compliance, and managing enterprise risk.Strategy & Value: Adoption roadmaps, ROI metrics, and business transformation leadership.Future Projections: Emerging trends and architectural shifts shaping enterprises through 2035.Organized Into 7 Core Parts: AI Foundations - Core concepts and principles for intelligent systems.AI Architecture - Enterprise platforms, data, models, and operations.Building AI Agents - Autonomous workflows and agent design.AI Governance, Risk & Trust - Security, compliance, and responsible AI.Strategy & Success - Adoption roadmaps, cost management, and ROI.The Future of AI - Emerging roles and the path to autonomous enterprises.Quick Reference - Essential frameworks, terminology, and tools.Who Should Read This Book?CIOs, CTOs, Chief AI Officers, enterprise architects, software developers, AI engineers, data scientists, cybersecurity leaders, students, and educators. Designed for executives, architects, developers, and tech leaders, this book is a practical guide to Enterprise AI-covering architecture, governance, LLMs, agents, and scaling for impact. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

  • Idioma: Inglés

    Editorial: Entaix, 2026

    9798256295110

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    Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 49,23

    Envío por EUR 32,67 
    Se envía de Australia a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Paperback. Condición: new. Paperback. Artificial Intelligence is transforming how organizations innovate, operate, and compete. As AI evolves from experimental tools into enterprise-wide platforms and autonomous systems, knowing how to design, govern, secure, and scale AI is essential for students, technology leaders, and executives.The Architectural Compass: Mastering Enterprise AI is a practical guide to turning AI experiments into reliable, business-focused systems that deliver measurable value. Rather than focusing on a single vendor or model, this handbook offers a comprehensive view of the entire Enterprise AI ecosystem.What You Will Learn: AI Foundations & Evolution: Transitioning from traditional software to autonomous AI systems.Architecture & Infrastructure: Scalable designs across cloud, hybrid, NeoCloud, GPU, and on-premises environments.AI Agents & LLMs: Building, testing, and deploying autonomous agents and complex workflows.Operations & Observability: Applying MLOps, LLMOps, AIOps, and FinOps principles.Governance, Risk & Trust: Securing data, ensuring compliance, and managing enterprise risk.Strategy & Value: Adoption roadmaps, ROI metrics, and business transformation leadership.Future Projections: Emerging trends and architectural shifts shaping enterprises through 2035.Organized Into 7 Core Parts: AI Foundations - Core concepts and principles for intelligent systems.AI Architecture - Enterprise platforms, data, models, and operations.Building AI Agents - Autonomous workflows and agent design.AI Governance, Risk & Trust - Security, compliance, and responsible AI.Strategy & Success - Adoption roadmaps, cost management, and ROI.The Future of AI - Emerging roles and the path to autonomous enterprises.Quick Reference - Essential frameworks, terminology, and tools.Who Should Read This Book?CIOs, CTOs, Chief AI Officers, enterprise architects, software developers, AI engineers, data scientists, cybersecurity leaders, students, and educators. Designed for executives, architects, developers, and tech leaders, this book is a practical guide to Enterprise AI-covering architecture, governance, LLMs, agents, and scaling for impact. 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. …

  • Idioma: Inglés

    Editorial: EntAIX, 2026

    9798256295110

    • Tapa blanda
    • Impresión bajo demanda

    Librería: preigu, Osnabrück, Alemaniapreigu

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 48,80

    Envío por EUR 70,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 5 disponibles

    Taschenbuch. Condición: Neu. Architectural Compass Mastering Enterprise AI | Mastering Enterprise AI | Dwivedi | Taschenbuch | Englisch | 2026 | EntAIX | EAN 9798256295110 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…