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FREMONT, CA: The IoT is a network of connected things and people that collect and share data to curate excellent user benefits. Sensors, connectivity, infrastructure, and analytics are critical for the successful deployment of an IoT strategy. The sensors specify the analytics quality, but also need connectivity infrastructure to be able to transfer the data collected by the sensors quickly.
While sensors are essential for data collection, they are relatively inexpensive, so there is an incentive for organizations to share them. In addition, each organization's IoT strategy will likely require its own unique set of sensors, so a sharing model may not work. Sensors typically transmit all their data to a centralized cloud database that may be far from the source of the data. This can lead to noticeable latency problems, whereby delays in data transmission and analysis may occur depending on the strength and reliability of the available network.
Typically, analytics is where organizations differ. While they can share and publish the results of the analysis, they don't want to share the technique by which they derive the result. That leaves the infrastructure of connectivity that virtually every IoT application requires. Infrastructure is one of the most substantial aspects when it comes to installation. Eventually, it's the data that's most vital; it's the data we can monetize, not so much about gateway and network building and maintenance.
In addition to new and alternative business models' IoT-as-a-service, another emerging trend in the IoT arena is the demand for edge computing. However, when it comes to the security aspects of edge computing, there are advantages and disadvantages. Unlike cloud computing, it is less vulnerable to Distributed Denial of Service (DDoS) attacks due to the decentralized nature of edge computing.
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