Horta Leonard (72 results)

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Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: As New. Unread book in perfect condition.

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware - The Blueprint for Scaling Enterprise Generative AI Without Breaking Your Compute, Your Storage, or Your Budget.Move your intelligent systems out of development sandboxes and into a resilient, production-grade physical reality.You have designed autonomous workflows. You have mapped out collaborative multi-agent teams. You have established strict corporate governance frameworks. But a critical question remains: Is your infrastructure actually built to handle them Too many enterprise AI initiatives fail not because of flawed software logic, but because they collapse under the heavy weight of physical production constraints. When cluster power density bottlenecks your compute, unoptimized inference engines drive latency through the roof, or runaway cloud bills bankrupt your budget, even the most brilliant AI application becomes completely useless.In Enterprise AI Infrastructure, the definitive final volume of The Enterprise AI Architect's Handbook series, you will discover exactly how to build the physical and technical backbone required to sustain high-performance, intelligent systems at scale. Skipping the basic introductory definitions, this book plunges directly into senior-level engineering realities, giving you the concrete architectural patterns and trade-off matrices needed to deploy modern LLMs with absolute confidence.Inside this comprehensive architecture guide, you will master: - The Compute Backbone: Navigating the hardware landscape (Nvidia Hopper/Blackwell, AMD Instinct, and custom ASICs), liquid cooling transitions, and high-throughput networking topologies like InfiniBand vs. RoCEv2.- Distributed Training Topologies: Optimizing fine-tuning footprints using Data, Model, Pipeline, and Tensor Parallelism alongside ZeRO stages 1-3 memory management.- The Data Substrate: Architecting real-time, terabyte-scale ingestion pipelines, object storage tiers, and high-density vector database indexing algorithms (HNSW vs. IVF-PQ).- Runtime Engineering: Maximizing inference throughput using continuous batching, PagedAttention, quantization frameworks, and advanced multi-hop enterprise RAG architectures.- Agentic Infrastructure Hosting: Building the physical state stores, semantic routers, and asynchronous message brokers (Kafka/Pulsar) required to support collaborative agent swarms.- Enterprise FinOps & Green AI: Running a rigorous Total Cost of Ownership (TCO) analysis to compare cloud vs. on-premises architectures while keeping token costs and carbon footprints strictly optimized.Whether you are an Enterprise AI Architect designing end-to-end hardware blueprints, an MLOps Engineer scaling runtime container clusters, a Data Principal managing high-dimensional data flows, or a tech executive managing a multi-million dollar AI budget, this book is your ultimate operations manual.…

Taschenbuch. Condition: Neu. Neuware - The 'Chatbot' Era is Over. The Era of the Autonomous Enterprise Has Arrived.Stop building toys. Start architecting systems.The industry is saturated with guides on how to 'talk' to AI, but the modern enterprise doesn't need better prompts, it needs better orchestration. As companies scramble to move beyond simple chat interfaces, a massive technical gap has emerged: the ability to build reliable, self-correcting, and scalable AI pipelines that actually do the work.In Practical AI Workflow Orchestration, Leonard J. Horta pulls back the curtain on Flow Engineering, the art of designing AI systems that think, reason, and execute with the precision of high-performance software. This isn't a book about what AI might do; it's a manual for what AI must do to survive in a production environment.What You Will Master: - From Chains to Agents: Move beyond basic sequential logic to build complex, agentic swarms that handle high-stakes corporate tasks.- Reasoning Frameworks: Implement ReAct, Tree-of-Thought, and self-correction loops to eliminate hallucinations and ensure system reliability.- The Architecture of Autonomy: Design 'Human-in-the-Loop' (HITL) checkpoints that maintain safety without sacrificing speed.- Production Hardening: Secure your pipelines against injection attacks and optimize for latency, cost, and observability.- Vendor-Agnostic Blueprints: Build robust systems that aren't tied to a single provider, ensuring your architecture remains future-proof.Why This Book While others are stuck in the 'experimental' phase, you will be deploying. Whether you are a Systems Architect, a CTO, or a Senior Developer, this book provides the engineering rigor required to transform probabilistic AI into a deterministic business asset.Practical AI Workflow Orchestration is the first volume in the Enterprise AI Architect's Handbook series. It is your definitive guide to bridging the gap between cutting-edge LLM potential and the rigid demands of the modern enterprise.Don't just use AI. Orchestrate it.…

Taschenbuch. Condition: Neu. Neuware - What if your automation could interpret messy requests, choose the right tools, recover from failures, and still behave like production software-bounded, auditable, and safe Practical AI Automation is a hands-on guide to building agentic business automation systems where probabilistic reasoning is contained inside deterministic engineering controls. Instead of treating a single model response like a function call, this book shows how to design governed execution loops: typed tool calls, runtime policy enforcement, persistent state, and termination rules you can test, monitor, and explain.Inside, you'll learn how to: - Build a production agent architecture using a typed state machine, budgets, and replay protection- Expose enterprise capabilities through a schema-validated tool protocol boundary with structured errors, timeouts, and rate limits- Engineer memory and retrieval as governed subsystems that refuse to act without evidence- Implement human-in-the-loop approvals with deterministic pre-execution diffs and resumable interrupts- Defend against prompt injection, data leakage, and unauthorized actions with sanitization, scopes, and audit trails- Evaluate agent systems using trace-based metrics and regression gates that catch prompt/topology drift before release- Deploy and scale with a microservice split (API, workers, tools, state/cache, queue) that enforces backpressure and predictable SLAsWritten for engineers, technical operators, and product teams, this book provides practical blueprints you can adapt to sales/support workflows, financial operations, and internal tooling, without relying on 'trust the model' as your safety plan. The result is agentic automation that can ship: constrained where it must be, flexible where it can be, and accountable everywhere.…

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware - Are your UI tests 'mostly green' but still fail at random Do you have a handful of scripts, but no framework you can trust in CI/CD Are you stuck copy-pasting tests, fighting flaky waits, and rebuilding suites every time the UI changes Do you know you can do the work, yet interviews and job descriptions still filter you out The Self-Taught Test Automation Engineer is a practical engineering roadmap for turning testing effort into a reliable, scalable quality system. This isn't a tool tour or a collection of disconnected tips. It teaches the engineering decisions behind automation that survives real-world conditions: changing UI, asynchronous apps, parallel execution, environment drift, unstable test data, and the operational demands of pipeline gating.Inside, you'll learn how to design automation like a product: - Select the right work with ROI and risk-based strategy, so you automate what matters and avoid expensive low-signal coverage.- Write maintainable test code using clean OOP boundaries and patterns that prevent 'framework rot.'- Build Page Object and component architectures that keep UI change localized and tests readable.- Eliminate flakiness at the source with dynamic waits, state synchronization, and disciplined resilience (without masking real defects).- Scale coverage safely with data-driven design, scenario models, factories, and environment-aware configuration without leaking secrets.- Move fast with service-layer automation for contract and business-rule validation that's deterministic and deeply diagnostic.- Run suites in parallel and distributed infrastructure without data collisions or shared-state failures.- Integrate into CI/CD with quality gates and observability so failures come with evidence, not guesswork.- Keep suites healthy long-term using suite health metrics, quarantine/pruning policies, and planned dependency upgrades.- Translate skill into career outcomes with a portfolio structure, resume framing, interview readiness, and a first-90-days impact plan.Each chapter includes deliverables you can apply immediately, templates, checklists, scorecards, architecture blueprints, and audit protocols, so you can implement the approach in your own repo and environment.If you want automation that runs unattended, fails with clear evidence, scales with your product, and earns trust across a team, this book gives you the system to build it.…

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware - WHEN A SINGLE COMPROMISED PLC CAN SHUT DOWN AN ENTIRE REFINERY, YOUR SECURITY ARCHITECTURE IS NO LONGER OPTIONAL-IT'S MISSION-CRITICAL INFRASTRUCTURE.The operational technology environments controlling power grids, water treatment facilities, chemical plants, and manufacturing lines face sophisticated nation-state threats and ransomware operators, while running safety-critical processes that cannot be interrupted, rebooted, or patched like enterprise IT systems.Standard IT security practices fail catastrophically in industrial control environments. Authentication latency breaks deterministic 10ms scan cycles. Network segmentation violates ISA-95 hierarchical data flows. Firmware updates requiring restarts are impossible on continuous processes managing hazardous materials under pressure.The gap between IEC 62443 compliance requirements and real-world OT implementation has left practitioners without technical blueprints-until now.The Definitive Engineering Manual for Defending Critical InfrastructureIndustrial Cybersecurity Critical Blueprints delivers ready-to-deploy code, configurations, and architectures for hardening embedded controllers, defending industrial networks, and achieving verifiable IEC 62443 security levels without compromising operational availability or physical safety.What You Get: \* Secure Boot Architectures - Cryptographic verification pipelines using RSA-3072 and ECDSA P-384 signatures for PLCs, DCS controllers, and RTUs\* Industrial Protocol Security - Mutual TLS on OPC UA, DNP3 Secure Authentication v5, hardened PROFINET/EtherNet/IP/Modbus TCP with timing impact analysis\* Zone-and-Conduit Networks - Ready-to-deploy firewall rule bases for ISA-95 segregation with unidirectional security gateway placements\* Defensive PLC Programming - Structured Text enforcing setpoint boundaries, sequential batch control, and memory canary protection, with code validation checklists\* IEC 62443 Compliance Templates - Zone Definition Records, SR matrices, and SL-A verification reports aligned with third-party conformance assessment\* Identity & Access Management - RADIUS topologies with zero-WAN-dependency failover, RBAC enforcement, and Industrial DMZ architectures for audited remote access\* Cryptographic Performance Matrices - Algorithm latency benchmarks across ARM Cortex processors ensuring security controls fit within deterministic timing constraintsEvery solution prioritizes operational availability and physical safety. All implementations use open international standards (IEC 62443, ISA-95, NIST) and 100% vendor-neutral terminology.This is not theory. This is the implementation manual your critical infrastructure has been waiting for.Secure your operational technology. Harden your embedded devices. Defend your critical infrastructure. Get your copy today. …

Paperback. Condition: new. Paperback. Artificial intelligence is no longer an experiment.It is approving loans, screening job candidates, generating software code, handling customer interactions, supporting medical decisions, and increasingly operating with levels of autonomy that were unimaginable just a few years ago.But as organizations race to deploy AI at scale, a critical question emerges: Who governs the systems that are now influencing decisions, shaping outcomes, and creating risks across the enterprise?The reality is simple: building AI is no longer the hardest challenge. Governing it is.A single prompt injection attack can compromise sensitive data. A biased model can trigger regulatory scrutiny. An autonomous agent can execute unintended actions. An undocumented decision can become a legal liability. And a lack of oversight can transform innovation into organizational risk overnight.AI Governance for Modern Organizations is a practical, implementation-focused guide for leaders, architects, risk professionals, compliance teams, and AI practitioners responsible for deploying intelligent systems in real-world business environments.Rather than offering abstract discussions of ethics or high-level policy recommendations, this book provides a structured framework for designing governance programs that work in production. Readers will learn how to identify and classify AI risks, establish effective governance committees, create oversight mechanisms, implement technical guardrails, navigate emerging regulations, and build operational processes that scale alongside rapidly evolving AI capabilities.Inside, you will learn how to: * Build enterprise AI risk frameworks that address technical, operational, legal, and reputational threats* Design corporate AI policies, approval workflows, and governance operating models* Implement human-in-the-loop and human-on-the-loop oversight mechanisms* Measure and mitigate algorithmic bias using practical fairness engineering techniques* Conduct red-team exercises and adversarial testing against AI systems and agentic workflows* Deploy explainability, interpretability, and auditability frameworks for modern machine learning models* Generate defensible audit trails and establish end-to-end model provenance* Navigate the evolving landscape of global AI regulations, privacy requirements, and compliance obligations* Protect intellectual property, sensitive data, and proprietary business assets in AI-driven environments* Detect model drift, performance degradation, and emerging risks before they become business incidents* Design governance dashboards, monitoring systems, and incident response procedures for production AI* Balance innovation, compliance, operational efficiency, and responsible AI adoption at enterprise scaleWhether you are leading an AI transformation initiative, building governance programs from the ground up, preparing for regulatory requirements, or managing the risks associated with advanced AI systems, this book provides the tools, frameworks, and operational guidance needed to move from reactive oversight to proactive governance.The future belongs to organizations that can innovate rapidly without sacrificing accountability, trust, or control.This book shows you how to build that future. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New. Print on Demand.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: new. Paperback. The Blueprint for Scaling Enterprise Generative AI Without Breaking Your Compute, Your Storage, or Your Budget.Move your intelligent systems out of development sandboxes and into a resilient, production-grade physical reality.You have designed autonomous workflows. You have mapped out collaborative multi-agent teams. You have established strict corporate governance frameworks. But a critical question remains: Is your infrastructure actually built to handle them?Too many enterprise AI initiatives fail not because of flawed software logic, but because they collapse under the heavy weight of physical production constraints. When cluster power density bottlenecks your compute, unoptimized inference engines drive latency through the roof, or runaway cloud bills bankrupt your budget, even the most brilliant AI application becomes completely useless.In Enterprise AI Infrastructure, the definitive final volume of The Enterprise AI Architect's Handbook series, you will discover exactly how to build the physical and technical backbone required to sustain high-performance, intelligent systems at scale. Skipping the basic introductory definitions, this book plunges directly into senior-level engineering realities, giving you the concrete architectural patterns and trade-off matrices needed to deploy modern LLMs with absolute confidence.Inside this comprehensive architecture guide, you will master: The Compute Backbone: Navigating the hardware landscape (Nvidia Hopper/Blackwell, AMD Instinct, and custom ASICs), liquid cooling transitions, and high-throughput networking topologies like InfiniBand vs. RoCEv2.Distributed Training Topologies: Optimizing fine-tuning footprints using Data, Model, Pipeline, and Tensor Parallelism alongside ZeRO stages 1-3 memory management.The Data Substrate: Architecting real-time, terabyte-scale ingestion pipelines, object storage tiers, and high-density vector database indexing algorithms (HNSW vs. IVF-PQ).Runtime Engineering: Maximizing inference throughput using continuous batching, PagedAttention, quantization frameworks, and advanced multi-hop enterprise RAG architectures.Agentic Infrastructure Hosting: Building the physical state stores, semantic routers, and asynchronous message brokers (Kafka/Pulsar) required to support collaborative agent swarms.Enterprise FinOps & Green AI: Running a rigorous Total Cost of Ownership (TCO) analysis to compare cloud vs. on-premises architectures while keeping token costs and carbon footprints strictly optimized.Whether you are an Enterprise AI Architect designing end-to-end hardware blueprints, an MLOps Engineer scaling runtime container clusters, a Data Principal managing high-dimensional data flows, or a tech executive managing a multi-million dollar AI budget, this book is your ultimate operations manual. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. Move Beyond Isolated Prompts. Architect the Autonomous Enterprise.The first wave of the AI revolution was built on single-prompt chains and linear automation workflows. But inside the enterprise, single LLM configurations are collapsing under the weight of context dilution, token latency, and cognitive drift. To scale artificial intelligence across multi-tiered security barriers, complex data fabrics, and cross-functional departments, engineering teams must undergo a radical paradigm shift.They must move from orchestrating single-agent tasks to architecting complex, distributed multi-agent systems.In Enterprise Multi-Agent AI Systems, seasoned systems architect Leonard J. Horta delivers the definitive, vendor-agnostic blueprint for designing, deploying, and hardening production-grade agent networks. Approached strictly as an advanced branch of distributed software systems engineering, this book provides the structural protocols and safety boundaries required to transform unpredictable, probabilistic AI models into resilient, deterministic enterprise assets.What You Will Master Inside This Blueprint: Foundations of Multi-Agent Architecture: Master role differentiation, persona isolation, and the exact JSON schemas required for structured inter-agent data exchange.Orchestration Topologies: Evaluate the architectural trade-offs between centralized, supervisor-led agent hierarchies and decentralized, choreographed swarms across latency, cost, and fault tolerance.Advanced State & Memory Management: Build unified memory fabrics and blackboard communication patterns that allow agents to synchronize global states without triggering devastating race conditions.Production Hardening & Cascading Security: Safeguard your network against infinite chat loops that incinerate token budgets, and implement Zero-Trust boundaries to prevent prompt-injection attacks from cascading across internal systems.Enterprise Scaling Protocols: Deploy agents safely within isolated execution sandboxes, optimize token routing to slash operating costs, and implement distributed tracing for absolute visibility.Engineered for Scannability and Deep UtilityEvery technical chapter is built to the highest professional publishing standards, serving as both a strategic roadmap for leadership and an operational manual for implementation teams. Each section features: Executive Summaries: High-level tactical overviews mapping out organizational ROI and architectural impact.Protocol & Schema Blueprints: Structural data layouts and universal pseudocode frameworks.Comparative Analysis Matrices: Clear data tables weighing engineering trade-offs.Architect's Production Checklists: Rigid edge-case protocols and security boundaries.Who This Book Is ForWhether you are a CTO or VP of Engineering designing a long-term AI strategy, an AI Architect mapping data flows, or a Senior Software Engineer transitioning into intelligent system design, this book provides the framework-agnostic principles you need to build future-proof ecosystems.The era of basic chatbots is over. The future belongs to the autonomous enterprise. Scroll up, secure your copy, and begin architecting collaborative intelligence at scale today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New. Print on Demand.

Condition: New. Print on Demand.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: new. Paperback. The code is perfect. The tests passed. So why is the system down?In a distributed world, your software is only as strong as its weakest connection. You can write the cleanest microservice in the industry, but if your service discovery fails, your data lags, or a "noisy neighbor" saturates your network, your users see the same thing: Failure.Distributed System Failures is the definitive engineer's field guide to the "invisible" side of modern software. This isn't a theoretical textbook on cloud architecture; it is a tactical manual for the moments when the dashboard turns red and the source of the fire is nowhere to be found.As the second volume in The Software Repair Manual series, this guide provides the diagnostic frameworks and triage checklists needed to troubleshoot microservices, cloud connectivity, and data synchronization errors in real-time.In this field guide, you will master: The Pillars of Observability: Moving beyond basic logging to master traces and metrics that reveal the "why" behind cascading failures.Network Forensic Tools: Diagnosing unexplained latency, "black hole" packets, and the dreaded DNS resolution errors inside virtual private clouds.Data Synchronization Repair: Strategies for resolving replication lag, stale reads, and "lost in transit" messages in event-driven streams.The Resilience Patterns: Implementing circuit breakers, bulkheads, and retries that actually work when the system is under pressure.The 15-Minute Triage Checklist: A battle-tested protocol for stabilizing a failing system before the blast radius expands.Stop guessing where the bottleneck is. Start diagnosing with surgical precision. Whether you're dealing with a broken API contract or a regional cloud outage, this manual provides the professional-grade tools to restore connectivity, synchronize your data, and build a system that can survive the chaos of the modern web.The system will break. Be the engineer who knows how to fix it. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. The "Chatbot" Era is Over. The Era of the Autonomous Enterprise Has Arrived.Stop building toys. Start architecting systems.The industry is saturated with guides on how to "talk" to AI, but the modern enterprise doesn't need better prompts, it needs better orchestration. As companies scramble to move beyond simple chat interfaces, a massive technical gap has emerged: the ability to build reliable, self-correcting, and scalable AI pipelines that actually do the work.In Practical AI Workflow Orchestration, Leonard J. Horta pulls back the curtain on Flow Engineering, the art of designing AI systems that think, reason, and execute with the precision of high-performance software. This isn't a book about what AI might do; it's a manual for what AI must do to survive in a production environment.What You Will Master: From Chains to Agents: Move beyond basic sequential logic to build complex, agentic swarms that handle high-stakes corporate tasks.Reasoning Frameworks: Implement ReAct, Tree-of-Thought, and self-correction loops to eliminate hallucinations and ensure system reliability.The Architecture of Autonomy: Design "Human-in-the-Loop" (HITL) checkpoints that maintain safety without sacrificing speed.Production Hardening: Secure your pipelines against injection attacks and optimize for latency, cost, and observability.Vendor-Agnostic Blueprints: Build robust systems that aren't tied to a single provider, ensuring your architecture remains future-proof.Why This Book?While others are stuck in the "experimental" phase, you will be deploying. Whether you are a Systems Architect, a CTO, or a Senior Developer, this book provides the engineering rigor required to transform probabilistic AI into a deterministic business asset.Practical AI Workflow Orchestration is the first volume in the Enterprise AI Architect's Handbook series. It is your definitive guide to bridging the gap between cutting-edge LLM potential and the rigid demands of the modern enterprise.Don't just use AI. Orchestrate it. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.