Tech Briefs

By enabling data to be processed, analyzed and acted upon within the device, IoT organizations remove the need for data to be transmitted to the cloud for centralized processing. This eliminates network latency and time taken within central servers to assess the data, make a decision and issue an instruction to the device, which can involve further network latency. Deploying AI on edge devices allows data to be processed in real-time with minimal latency in the decision-making process.

On-device AI can reduce the volume of data sent to the cloud for processing and enables cloud expenses to be controlled. In addition, greater embedded AI processing capabilities allow for greater flexibility for devices once in deployment, by enabling new functions to be added and supported during the device service lifecycle and helps to future-proof devices.

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