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AI-Powered IoT Solutions: A Practical Guide to Building AI-Enabled IoT Systems for Automation, Predictive Insights, and Smart Infrastructure
Paperback
Series: Intelligent Systems Engineering Library, Book 6
Technology & EngineeringGeneral ComputersIndustrial Design
Publisher: Independently Published
Published: Jun 13 2026
Pages: 176
Weight: 0.93
Height: 0.38 Width: 8.50 Depth: 11.00
Language: English
Are you curious about how intelligent devices can collect data, learn from it, make decisions, and automate real-world operations without constant human intervention?
Have you ever wondered how modern industries predict equipment failures before they happen, how smart buildings optimize energy consumption, or how connected systems transform raw sensor data into valuable business insights?
AI-Powered IoT Solutions is a practical and comprehensive guide designed to help you understand, design, build, and deploy intelligent connected systems that combine artificial intelligence with modern device networks. Whether you are an engineer, developer, technology student, researcher, automation professional, or innovation enthusiast, this book provides a structured pathway from foundational concepts to advanced real-world implementations.
Rather than focusing solely on theory, this book explains how intelligent systems operate in practical environments. You will learn how devices collect information, how data moves through communication networks, how machine learning models generate predictions, and how automated actions are executed across connected infrastructures.
Inside this book, you will discover:
- Foundations of intelligent connected systems and modern architectures
- Sensor technologies, embedded systems, and data acquisition strategies
- Communication protocols, networking concepts, and scalable connectivity solutions
- Machine learning and deep learning techniques for connected devices
- Edge intelligence and low-power machine learning deployment
- Data engineering, streaming architectures, and real-time analytics
- Secure system design, privacy protection, and cybersecurity best practices
- Cloud-native architectures, microservices, and scalable platform development
- Predictive maintenance, forecasting models, and intelligent automation techniques
- Human-centered interfaces, conversational systems, and adaptive user experiences
- Smart city, healthcare, agriculture, manufacturing, transportation, and energy applications
- Deployment methodologies, testing frameworks, optimization strategies, and operational management
- Ethical considerations, sustainability principles, and responsible innovation practices
- Emerging technologies including autonomous systems, decentralized architectures, next-generation connectivity, and advanced intelligent networks
Why does this book stand out?
Because it goes beyond isolated concepts and demonstrates how the complete ecosystem works together. From sensors and embedded devices to analytics platforms and intelligent decision engines, every major component is explained in a clear, practical, and professionally structured manner.
You will also explore detailed implementation examples, development frameworks, architecture models, project roadmaps, deployment strategies, glossaries, reference materials, and capstone projects that reinforce real-world understanding.
Whether your goal is to build smarter products, modernize industrial operations, develop intelligent infrastructure, create innovative automation solutions, or expand your expertise in one of today's fastest-growing technology domains, this book provides the knowledge and practical guidance needed to move from concept to implementation.
If you are ready to understand the technologies shaping the future of connected intelligence, this guide will help you build the skills, confidence, and technical foundation required to create powerful AI-enabled solutions for the modern world.
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