What Is Edge AI?

Edge AI involves the deployment of artificial intelligence (AI) algorithms and models directly on edge devices. An edge device is a physical, remote computing device that’s connected to the network edge, such as smartphones, IoT devices, and embedded systems. This approach enables smarter, faster, and more secure processing on the devices closest to the data source, and without relying on cloud-based processing.

As new AI applications emerge across all markets, edge AI offers a range of innovative solutions and technologies for businesses to unlock its benefits. Some of the key Edge AI use cases include:

• Smart Homes, Cities and Infrastructure: Edge AI plays a crucial role in building smarter and more efficient homes and cities, enabling analysis and processing of vast amounts of data from sensors, cameras, and other IoT devices in real time.
• Industrial IoT: By embedding AI capabilities into edge devices, such as robots and machines, tasks that require real-time processing and decision-making can be performed locally, resulting in improved productivity, increased safety, and better overall performance.
• Autonomous Vehicles: By using real-time processing of data from sensors like cameras, LiDAR, and radar, edge AI enables AI-powered vehicles to make decisions critical for safety and efficiency.