IoT’s next expansion is back to the edge. IoT has matured to securely get machine learning in the cloud from data ingested at the edge. The promise still given and often delivered upon is gaining knowledge about things to create intelligence that could alter behavior for the better. This process involving twins and datacenter study provides either an out-of-channel value response, or an OTA to upgrade the thing behavior.
With increased adoption of IoT for industrial, retail, and consumer applications, a more real-time model is beneficial for many applications. This involves AI at the edge. The edge requires AI rapid learning and results.
Join this Virtual Lunch & Learn for a discussion on how the ability to evolve the long-term memory support provided by digital twins living in the cloud to provide fast AI working inference at the edge while maintaining the datacenter depth of knowledge.
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