SKU/Artículo: AMZ-B0G457FFRZ
The Agentic AI Advantage: A Comprehensive Collection of Practical Methods, Real-World Projects and Deployment Tactics to Build Reliable AI Agents, Reduce Chaos & Take Control of Your Digital Future
Format:
Hardcover
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.55 kg
0.55 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- A production-minded engineering guide to building agentic AI systems you can explain, measure, operate and defend under review Are prototypes piling up while outcomes stay fuzzy? Does every new AI integration boost speed, then quietly add risk? Agentic AI can perceive, reason, act, and adapt. But in production, teams hit the same wall: brittle tool chains, low visibility into failures, rising infrastructure costs, and governance friction. What "works in a demo" often breaks under real traffic, real data, and executive accountability. This Ai Book is built for that reality. This is an engineering field manual for systems that must withstand scale, audits, and stakeholder scrutiny. Structured around a six-phase path — Understand > Design > Build > Evaluate > Deploy > Scale — the book moves from core architecture choices to enterprise integration patterns and operational scaling. Inside, you will explore:Clear mental models for single-agent and multi-agent systems and when each architecture is justified.Production-grade reliability patterns: timeouts, retries, idempotency, safe fallbacks, and failure isolation.Interoperability frameworks that ensure auditability and portability across vendors and stacks.A repeatable evaluation workflow, including an Eval Harness and scorecard templates with practical metrics (accuracy, latency, safety, utility).Observability and tracing patterns for resilient Day 2 operations: logs, traces, drift signals, and incident-ready debugging.Cost-per-task discipline with routing, caching, batching, and capacity strategies aligned with pragmatic FinOps.Security and governance-by-design practices that reduce stakeholder friction without slowing delivery.KPI-driven playbooks mapping agent behavior directly to measurable business outcomes across productivity, CX, finance, HR, and specialized domains. The result?A repeatable engineering method for building agents stakeholders can trust, and defend in architecture reviews, compliance audits, and executive scrutiny. Systems you can justify with evidence, monitor through dashboards, and evolve through measured iteration rather than reactive firefighting. Written for product and engineering leaders accountable for agentic AI that performs under real-world constraints, not just controlled demos.
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AR$126.806
31% OFF
AR$87.450
10% OFF con cupon ANIVERSARIO10
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