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Book Overview & Buying
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Table Of Contents
Hands-On Artificial Intelligence for IoT - Second Edition
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In an era where data generation is ubiquitously distributed, edge data storage and processing becomes a necessity. Edge computing brings data storage and computational power closer to the location where it is needed, aiming to reduce latency and bandwidth use.
Edge data storage and processing involves capturing, storing, and processing data near the source of data generation, rather than relying on a centralized data-processing warehouse. This “edge” can be anything from a mobile or IoT device to a local edge server. Instead of sending vast amounts of raw data back to a centralized or cloud-based server, edge computing devices process data locally or in nearby edge servers. This approach allows for real-time data processing, crucial for time-sensitive applications.
IoT devices generate a significant amount of data. Edge computing enables these devices to process data in real time, leading to faster and more efficient IoT systems...