Smarter IoT Systems With Edge Computing and AI

The Internet of Things (IoT) is no longer just about connectivity. Today, IoT systems are becoming intelligent ecosystems that make real-time decisions. The convergence of edge computing and artificial intelligence (AI) is driving this transformation, meaning that IoT devices can now locally process their own data, then act autonomously. This revolutionizes industries, from healthcare and agriculture to smart cities and autonomous vehicles.

When Edge Computing Meets AI

Traditional IoT has a central cloud architecture used for data processing and analysis. While effective, this model struggles to meet the demands of real-time applications due to:

• Latency: Transmitting data to and from the cloud can be delayed, and that can delay critical decision-making.
• Bandwidth: IoT data can overwhelm networks and increase costs when large volumes of it need to be transmitted to the cloud.
• Privacy: Breachable and compliance-violating sensitive data sent to centralized servers.

By running AI capabilities at the edge, IoT ...