Edge Computing
Hari Dharani
An Aspiring and Curious Learner | Final Year student at SNS College of Engineering | Python |
What is edge computing?
Edge computing is a distributed computing framework that brings enterprise applications closer to data sources such as IoT devices or local edge servers. This proximity to data at its source can deliver strong business benefits, including faster insights, improved response times and better bandwidth availability.
Devices at the edge: Harnessing the potential
Edge computing harnesses growing in-device computing capability to provide deep insights and predictive analysis in near-real time. This increased analytics capability in edge devices can power innovation to improve quality and enhance value. It also raises important strategic questions: How do you manage the deployment of workloads that perform these types of actions in the presence of increased compute capacity? How can you use the embedded intelligence in devices to influence operational processes for your employees, your customers and your business more responsively? In order to extract the most value from all those devices, significant volumes of computation must move to the edge.
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The future of edge computing in your industry
CIOs in banking, mining, retail or just about any other industry are building strategies designed to personalize customer experiences, generate faster insights and actions and maintain continuous operations. This can be achieved by adopting a massively decentralized computing architecture, otherwise known as edge computing. However, within each industry are particular use cases that drive the need for edge IT.
Banks might need edge to analyze ATM video feeds in real-time in order to increase consumer safety. Mining companies can use their data to optimize their operations, improve worker safety, reduce energy consumption and increase productivity. Retailers can personalize the shopping experiences for their customers and rapidly communicate specialized offers. Companies that use kiosk services can automate the remote distribution and management of their kiosk-based applications, helping to ensure they continue to operate even when they aren’t connected or have poor network connectivity.