AI-Augmented Engineering Systems : A Practical Guide to Designing Intelligent Infrastructure, Smart Automation, and Data-Driven Engineering Solutions

Brenda K. Gaskin

ISBN 13: 9798198505438

Editore: Independently Published Mai 2026, 2026

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Neuware - Are you looking to stay relevant in a world where engineering is no longer just about calculations and static systems Have you noticed how modern infrastructure, manufacturing, and energy systems are becoming more intelligent, adaptive, and data-driven This book was written for professionals and forward-thinking learners who want to understand what that shift really means-and how to take part in it.AI-Augmented Engineering Systems presents a clear and practical approach to integrating artificial intelligence into real-world engineering environments. Instead of abstract theory, it focuses on how intelligent systems are designed, implemented, and managed across industries. Whether you work in engineering, technology, or operations, you will find methods that can be applied directly to your projects.What does it take to design systems that can learn from data and improve over time How do you move from traditional processes to intelligent automation without disrupting reliability or safety This guide answers those questions with structured explanations and realistic examples drawn from industry practice.You will explore how engineering systems evolve when supported by data pipelines, predictive models, and adaptive control mechanisms. The book explains how to approach system architecture, select appropriate technologies, and build solutions that remain scalable and maintainable.inside this book, you will discover: - practical frameworks for integrating ai into engineering systems- design patterns used in intelligent infrastructure and automation- methods for building data-driven decision systems- approaches to deploying and scaling intelligent solutions- real-world case studies across aerospace, manufacturing, energy, and smart cities- guidance on ethics, governance, and responsible system designAre you trying to understand how intelligent systems actually function in real environments Do you want to move beyond theory and gain clarity on implementation strategies This book is structured to guide you step by step, without unnecessary complexity or vague explanations.It is suitable for engineers, developers, analysts, and decision-makers who want to strengthen their understanding of intelligent systems and apply that knowledge effectively. Each chapter builds on practical insight, helping you connect concepts to real applications.If you are ready to design smarter systems, improve efficiency, and work confidently with modern engineering technologies, this book provides the direction and clarity you need.

Codice articolo 9798198505438

Dati bibliografici

• Titolo: AI-Augmented Engineering Systems : A Practical Guide to Designing Intelligent Infrastructure, Smart Automation, and Data-Driven Engineering Solutions
• Editore: Independently Published Mai 2026
• Data di pubblicazione: 2026
• Lingua: Inglese
• ISBN 13: 9798198505438
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 279 L x 216 A x 12 P (millimetri) 279 millimetri di larghezza per 216 millimetri di altezza per 12 millimetri di profondità
• Peso: 531 grammi

Descrizione articolo

Riassunto

Are you looking to stay relevant in a world where engineering is no longer just about calculations and static systems? Have you noticed how modern infrastructure, manufacturing, and energy systems are becoming more intelligent, adaptive, and data-driven? This book was written for professionals and forward-thinking learners who want to understand what that shift really means—and how to take part in it.

AI-Augmented Engineering Systems presents a clear and practical approach to integrating artificial intelligence into real-world engineering environments. Instead of abstract theory, it focuses on how intelligent systems are designed, implemented, and managed across industries. Whether you work in engineering, technology, or operations, you will find methods that can be applied directly to your projects.

What does it take to design systems that can learn from data and improve over time? How do you move from traditional processes to intelligent automation without disrupting reliability or safety? This guide answers those questions with structured explanations and realistic examples drawn from industry practice.

You will explore how engineering systems evolve when supported by data pipelines, predictive models, and adaptive control mechanisms. The book explains how to approach system architecture, select appropriate technologies, and build solutions that remain scalable and maintainable.

inside this book, you will discover:

• practical frameworks for integrating ai into engineering systems
• design patterns used in intelligent infrastructure and automation
• methods for building data-driven decision systems
• approaches to deploying and scaling intelligent solutions
• real-world case studies across aerospace, manufacturing, energy, and smart cities
• guidance on ethics, governance, and responsible system design

Are you trying to understand how intelligent systems actually function in real environments? Do you want to move beyond theory and gain clarity on implementation strategies? This book is structured to guide you step by step, without unnecessary complexity or vague explanations.

It is suitable for engineers, developers, analysts, and decision-makers who want to strengthen their understanding of intelligent systems and apply that knowledge effectively. Each chapter builds on practical insight, helping you connect concepts to real applications.

If you are ready to design smarter systems, improve efficiency, and work confidently with modern engineering technologies, this book provides the direction and clarity you need.