Architecting the Intelligent Edge

By Vishal Lall, Chief Operating Officer
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Over the past few years, many applications and workloads have migrated to centralized clouds that offer flexible infrastructure coupled with ease of use. In a world where everything is now hyper-connected, a growing amount of data from an increasing number of connected devices is spawning new use cases, closer to where the data is generated – at the edge. Latency and cost tradeoffs are challenging the rationale and value proposition of simply using cloud computing to execute these use cases.  Moreover, emerging technologies at the edge – such as AR, VR and IoT – all have requirements not served by the current cloud computing model.

The edge use cases are architected to deliver superior digital experiences such as personalized recommendations in a shopping mall or a seamless check-in process in a hotel.  In addition to digital experiences, these edge use cases also enable business outcomes that cannot be achieved via traditional computing paradigms including that of the cloud. These use cases integrate connectivity, compute, analytics and security to connect people and things at the edge, to apps and data in the cloud, and to enable control and action locally. These aren’t just promising, futuristic possibilities – they’re available today.

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