Analysts loosely define the Artificial Intelligence of Things (AIoT) as the convergence of AI and IoT1 — using AI to make IoT devices smarter and more autonomous. But that’s a device-centric, “little data” definition. From a strategic, “big data” viewpoint, AIoT is the connection between machine intelligence and the physical world.
The big data used for AI training and inference begins as little data captured by devices at the edge of the network that interact with things and people. These IoT sensors and human input devices are sources of truth that make AI relevant and valuable. In other words, connected devices comprise the nervous system connecting AI to our world. AIoT makes AI real and relevant.
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