Additional information
by Ranjit Dwivedi (Author)
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.
- 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.
CIOs, CTOs, Chief AI Officers, enterprise architects, software developers, AI engineers, data scientists, cybersecurity leaders, students, and educators.
