This professional reference examines the technical foundations, implementation strategies, and operational considerations for deploying autonomous AI agents within complex enterprise settings. The book covers system architectures, integration methods, performance optimization, security controls, and scaling approaches required to support business automation and workflow enhancement in large organizations. Designed specifically for experienced professionals, the content assumes familiarity with software engineering, machine learning concepts, and enterprise infrastructure. It addresses advanced challenges including multi-agent coordination, governance, observability, and domain-specific applications across industries. Target Audience: AI engineers, enterprise architects, technical leads, and senior developers responsible for production AI initiatives. If you manage or contribute to enterprise AI transformation projects and seek structured, in-depth technical guidance, this book serves as a valuable resource for advancing implementation capabilities in your organization.
AmazonPagina's: 180, Paperback, Independently published
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