Agentic AI for the Enterprise

Agentic AI for the Enterprise

Manish Ballal / Reagan Rosario / Sumit Wasuja

22,24 €
IVA incluido
Disponible
Editorial:
BPB Publications
Año de edición:
2026
Materia
Inteligencia artificial
ISBN:
9789378545368
22,24 €
IVA incluido
Disponible

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Agentic AI marks the most significant shift in enterprise technology since cloud computing. Autonomous systems that can reason, coordinate across tools, and act with bounded independence are rewriting how organizations operate, make decisions, and deliver value at scale.This book takes you from foundational concepts to production-ready execution. Starting with the evolution from macros and automation scripts to goal-driven agents, you will learn how agentic AI replaces brittle automation with adaptive orchestration. Real finance workflows, frameworks for identifying high-value use cases, agent-driven operation design, cross-functional collaboration protocols, responsible AI practices, infrastructure readiness, a 90-day execution playbook, and organizational transformation are all covered. Industry deep dives into healthcare and financial services show agents handling regulated, high-stakes work. Final chapters address scaling from pilot to platform and thriving in an agent-first future.By the end of this book, you will be equipped to lead agentic AI initiatives with clarity on architecture, governance, talent strategy, and measurable business impact across any enterprise domain.WHAT YOU WILL LEARN● Identify high-value use cases using intent-execution gap analysis.● Build cross-functional agent workflows with governance and accountability.● Implement responsible AI guardrails for regulated environments.● Scale from isolated pilots to enterprise-wide agent platforms.● Transform organizational talent, incentives, and operating models.WHO THIS BOOK IS FORThis book is for enterprise architects, AI/ML engineers, technology leaders, CTOs, and digital transformation executives who need to move agentic AI from concept to production. Ideal for professionals designing, deploying, or governing autonomous systems in complex, regulated business environments.

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