Billions of IoT devices are being deployed in remote locations far from the centralized cloud where data is processed. Inadequate storage capabilities, high haul-back costs, lack of compute capabilities, and complex asset management are limiting the effectiveness of traditional enterprise network configurations in this new data-driven world.
Current centralized cloud architectures are not capable of delivering real-time decision making or cost-effective data collection, transport or storage. However, a unified distributed network with standardized interconnectivity does not exist and deploying new infrastructure to remote locations is cost-prohibitive. Even if the network did exist, enterprises would still struggle to rapidly deploy and manage these assets.
A "store-process-forward" solution that is scalable is required at the edge
The deployment of proper networks, infrastructure and applications at the edge would give enterprises the ability to collect, analyze, manage and respond to the data generated by remote IoT devices. In addition, data could be cost-effectively stored regionally or transported back to a private or public cloud to be used for other mission-critical initiatives.
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