Reduced latency: Edge computing processes data closer to the source, reducing the time it takes for data to be transmitted to the cloud and back.
Improved reliability: Edge computing can mitigate the risk of data loss or delays that may occur due to network disruptions by processing data locally.
Increased security: Sensitive data can be processed and stored at the edge, reducing the risk of cyberattacks or data breaches.
Better scalability: Edge computing allows for processing at multiple locations, reducing the strain on central servers and making it easier to scale operations as needed.
Cost-effectiveness: By processing data locally, organizations can reduce the amount of data they need to send to the cloud, potentially reducing costs associated with cloud storage and bandwidth.