As the cloud becomes a mainstay of the modern enterprise, edge computing is beginning to bubble up as a way to create efficiencies and boost performance for a range of industry-specific use cases and emerging applications.
While definitions vary, edge computing is generally viewed as a model for bringing computation and data storage closer to the location where you need it, saving bandwidth and turbocharging response time. Such geographic-specific, distributed allocation of computing resources can deliver lower latency for applications where human safety is a factor, aid in streamlined customer experiences, and serve up real-time processing muscle for machine learning and analytics.
