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Paperback. Etat : 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. …

Taschenbuch. Etat : 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. …

Paperback. Etat : 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. …

Paperback. Etat : 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. …