Architectural Compass Mastering Enterprise AI: Mastering Enterprise AI - Couverture souple

Dwivedi, Ranjit

Couverture souple

ISBN 13 : 9798256295110

Editeur : Entaix, 2026

Synopsis

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:

1. AI Foundations - Core concepts and principles for intelligent systems.
2. AI Architecture - Enterprise platforms, data, models, and operations.
3. Building AI Agents - Autonomous workflows and agent design.
4. AI Governance, Risk & Trust - Security, compliance, and responsible AI.
5. Strategy & Success - Adoption roadmaps, cost management, and ROI.
6. The Future of AI - Emerging roles and the path to autonomous enterprises.
7. 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.

Détails de l'édition

• Éditeur: Entaix
• Date d'édition: 2026
• Langue: anglais
• ISBN 13: 9798256295110
• Reliure: Paperback
• Nombre de pages: 164
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible