Edge Intelligence: Real-Time Decisions at the Source

The future of IoT is not in sending more data to the cloud—it is in deciding faster, closer, and smarter at the edge. Edge Intelligence: Real-Time Decisions at the Source explores how computation moves from centralized platforms to devices themselves, enabling instant action where time, bandwidth, and reliability matter most.
This book takes a latency-first perspective on IoT design. It explains why cloud-only architectures fail in environments that demand immediacy, resilience, or autonomy, and how edge intelligence transforms raw sensor input into on-device decisions. From anomaly detection and local optimization to adaptive control, the focus is on what happens when devices think before they transmit.
Rather than treating edge AI as a buzzword, the book examines practical tradeoffs: power constraints, model size, update cycles, and operational reliability. Readers learn when edge intelligence makes sense, when it doesn’t, and how hybrid edge–cloud systems are designed.
Readers will explore:
• Why real-time decisions cannot wait for the cloud
• How edge intelligence reduces latency and cost
• What kinds of models work at the edge
• How local decisions improve resilience and safety
• How edge and cloud coordinate intelligently
This book is for engineers, architects, and product leaders building systems that must act now, not later. If your devices operate where delay is failure, this book shows how intelligence moves to the source.