ARTIFICIAL INTELLIGENCE IN THE REAL WORLD

Artificial intelligence is no longer a distant concept. It is already used in factories, hospitals, vehicles, energy systems, banks, warehouses, smartphones, and digital services. Yet many people still struggle to understand what AI actually does, where it creates real value, and when traditional technology remains the better solution.

Artificial Intelligence in the Real World presents AI as it truly exists: a practical tool for prediction, analysis, optimization, recommendation, and decision support. It examines how AI is applied across industry, healthcare, transport, finance, cybersecurity, education, agriculture, smart cities, and everyday life—without relying on science fiction, exaggerated promises, or unnecessary technical jargon.

WHO THIS BOOK IS FOR

This book is written for:

• Engineers, technicians, and automation professionals
• Managers and business owners evaluating AI projects
• Students and educators studying modern technology
• Professionals working in industry, energy, logistics, or healthcare
• Readers interested in the practical impact of artificial intelligence
• Anyone who wants to understand where AI works—and where it does not

WHAT YOU WILL LEARN

Inside this book, you will learn how to:

• Understand what modern AI systems actually do
• Recognize why prediction is central to most AI applications
• See how AI moved from research laboratories into real products and services
• Understand predictive maintenance and equipment-failure detection
• Explore how machine vision identifies defects and abnormal conditions
• Examine the use of AI in robotics, production, and quality control
• Understand AI applications in energy, transport, medicine, and logistics
• See how finance, cybersecurity, agriculture, and education use AI
• Distinguish AI-based solutions from conventional automation
• Understand when PLCs, PID control, fixed rules, and traditional software are more appropriate
• Recognize the effects of poor data, system drift, and unreliable predictions
• Evaluate whether an AI project is useful, affordable, safe, and realistic

APPLICATIONS AND TECHNOLOGIES COVERED

The book examines practical AI applications across:

• Predictive maintenance and condition monitoring
• Machine vision and automated inspection
• Industrial robots and production systems
• Energy management and demand forecasting
• Healthcare diagnostics and decision support
• Autonomous and assisted transportation
• Warehousing, logistics, and supply-chain optimization
• Financial analysis, fraud detection, and risk assessment
• Cybersecurity monitoring and anomaly detection
• Education and personalized learning
• Agriculture and precision farming
• Smart cities and infrastructure management
• Recommendation systems and digital services
• Entertainment, communication, and everyday consumer technology
• Space exploration and scientific research

WHY THIS BOOK MATTERS

AI is not automatically intelligent, reliable, safe, or necessary. It can fail when data is incomplete, conditions change, objectives are poorly defined, or organizations expect it to solve problems that traditional engineering already handles well.

Every major application in this book is examined through the real problem, the conventional solution, the AI-based approach, practical benefits, limitations, and conditions required for success. This makes the book useful for both technical and non-technical readers.

Artificial Intelligence in the Real World provides a realistic guide to the technology already changing industry, business, and everyday life. The organizations and professionals that understand when to use AI—and when not to—will be the ones most likely to benefit from it.