Edge AI with IoT
Fusion of ÀI & Edge Computing is Edge AI.

Edge Computing sets up a Computing paradigm that moves AI-->ML-->DL to the network edge node where data is generated and computed.

Edge containers are located at network edge closer to the data sources while Cloud containers operate in a data center too far from data sources.

AI applications running in Real time require local processing power to maintain low latency. This generates need of Edge Computing for AI applications. Edge Computing allows sensors enabled devices to collect and process data locally to deliver insights to make AI - led decisions with minimal latency.

Dr NNJani

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N N Jani

N N Jani

Mentoring YOUTHs to innovate and build skills to work smart, build products with higher utility value.

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