A pharmaceutical manufacturer deploys next-level monitoring to increase plant efficiency by predicting when machines will break down.
An international delivery logistics company saves on data transfer costs by using edge resources to better manage its fleet when network access is intermittent.
A city reacts faster to incidents captured on surveillance cameras by implementing real-time video analytics at the edge rather than sending hours of footage to a data centre for analysis.
A major retailer uses data collection robots to gather and transmit vast amounts of inventory data at low latency and high throughput without taxing store networks.
A global banking institution avoids substantial loss of money when dealing with hedge funds by deploying ultra-low latency edge infrastructure to run resource-intensive algorithms closer to stock exchanges.
A healthcare provider improves urgent care response times by deploying IoT devices to deliver vast amounts of patient-generated health data (PGHD) with real-time access to critical patient information.
Private and public organisations increasingly rely on automated, data-driven decisions to boost business velocity and operational flexibility. Edge computing speeds the collection and analysis of data generated in "smart" edge locations such as factories, cities, transportation hubs and hospitals, enabling the delivery of intelligent, real-time insights people and machines can act on.
Read the IDC report, Extending Digital Transformation, to learn why you need an edge computing strategy that supports modern applications.
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