Enterprise Agentic AI

From Strategy to Scale: An Executive Guide to Agents, RAG, Prompt Engineering, Enterprise Architecture, Governance, and Production AI

von Chandra Madhumanchi

34 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

Agentic AI is moving from experimentation to enterprise execution. The challenge for leaders is no longer simply understanding what AI agents can do-it is determining where autonomy creates business value and how to deploy it reliably, securely, and at scale.Enterprise Agentic AI: From Strategy to Scale provides executives, technology leaders, architects, AI practitioners, and engineering teams with a practical framework for understanding and implementing agentic AI in the enterprise.Drawing on two decades of experience across enterprise applications, AI/ML products, data engineering, ML platforms, ETL, Spark/PySpark, Kafka, and training and inference pipelines, Chandra Madhumanchi connects emerging agentic AI concepts with the engineering disciplines required to operate them in production.Inside this book, you will learn how to: - Distinguish AI agents from traditional LLM applications and deterministic workflows- Understand the agent loop: perceive, reason, act, observe, and terminate- Design reliable tool use, function calling, memory, and state management- Apply RAG to ground AI systems in enterprise knowledge- Use prompt engineering to improve model and agent behavior- Evaluate when multi-agent architectures are-and are not-appropriate- Design an enterprise Agentic AI reference architecture- Connect agents with enterprise APIs, data platforms, ETL, Spark/PySpark, Kafka, and ML inference services- Establish security, observability, evaluation, human oversight, and governance- Move from AI experiments to scalable enterprise platformsThe book also includes hands-on Prompt Engineering and RAG examples, architecture diagrams, executive decision frameworks, an enterprise implementation case study, Chandra's Enterprise AI Principles, and a CEO/CTO/CIO readiness checklist.The central principle is simple: use deterministic workflows for known paths, retrieval for trusted knowledge, agents for runtime adaptation, and platform engineering to make all three reliable at enterprise scale.Whether you are defining an enterprise AI strategy, designing an AI platform, evaluating agent frameworks, or preparing AI agents for production, this book provides a bridge from emerging AI capability to practical enterprise execution.

• ISBN: 9798192842621
• Sprache: Englisch
• Erscheinungsdatum: 15.08.2026
• Größe: 254 x 178 mm
• Verlag: Amazon Digital Services LLC - Kdp