『How Edge Computing Powers Real-Time Retail Geofencing』のカバーアート

How Edge Computing Powers Real-Time Retail Geofencing

How Edge Computing Powers Real-Time Retail Geofencing

無料で聴く

ポッドキャストの詳細を見る
When you walk past a store and get a push notification for a discount you actually want, edge computing made that possible in under 50 milliseconds. In this episode, Lucas and Luna explore how retailers like Walmart and Target are using local edge nodes to run geofencing logic — without sending your location data to the cloud. They break down the specific latency thresholds needed for real-time offers (under 100 milliseconds), the hardware involved (a standard server rack with a GPU can handle 10,000 concurrent sessions), and why cloud round-trips are too slow. They also touch on the privacy angle: edge processing means location data never leaves the store's network. A short donation segment ties the episode's focus on latency performance to listener support that keeps the show ad-free. #EdgeComputing #Geofencing #RetailTech #RealTimeMarketing #Walmart #Target #Latency #Privacy #LocalCompute #ProximityMarketing #PushNotifications #InStoreAnalytics #CDN #DistributedInfrastructure #Business #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
adbl_web_anon_alc_button_suppression_t1
まだレビューはありません