What Is Edge Computing? Edge AI, IoT & Real-Time Systems Explained | Need to Know

What happens when computing moves closer to where data is created?

In this Need to Know episode, Ricky Flores explores edge computing—an architecture that places compute resources near the sensors, devices, gateways, industrial PCs, and network-edge servers where data is generated and used. For years, the cloud became the default location for processing, storage, remote management, and large-scale AI model training. Learn how edge computing can reduce latency, lower bandwidth usage, improve reliability when connectivity is intermittent, and help keep sensitive data closer to where it was created. Ricky also breaks down where edge computing appears across a range of industries, including robotics, industrial automation, medical devices, and more. No matter what kind of systems you are working with, this episode offers insights into why the best architectures are often hybrid. The edge supports faster processing and reduces bandwidth requirements, while the cloud provides long-term storage, fleet-wide analytics, centralized management, and AI model retraining. Mouser Electronics supports engineers with the latest components and development tools to help bring connected, intelligent edge systems to life.

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