Key Benefits

Faster response, lower latency
Processes data directly on edge devices, enabling quicker AI/ ML performance and real-time decisions.

Reduced bandwidth and connectivity costs
Limits data transfers to the cloud, saving on bandwidth and minimizing network dependency.

Improved reliability and resilience
Keeps operations running during outages by reducing reliance on
centralized systems and using local connectivity.

How edge computing is making a difference at the edge

Retail
Edge computing is helping retailers cut losses, prevent fraud, and reduce costs through AIpowered
computer vision. It also improves inventory forecasting and order management by processing
real-time data at remote locations, including branch offices and point-of-sale systems.

Manufacturing
Edge computing supports real-time quality checks using AI video to reduce defects and improve output.
It enables predictive maintenance through data analytics, minimizing downtime and costs. AR/VR
tools also enhance worker safety and efficiency with real-time guidance.

Logistics
AI-driven video analytics help optimize traffic flow and inform route planning for faster, safer transport.
Local data from fleets—such as GPS, diagnostics, and driver behavior—supports real-time monitoring
and smarter maintenance. Inventory levels are also tracked in real time, improving order fulfillment and
overall supply chain efficiency.

Healthcare
Hospitals are using intelligent video and object recognition to monitor safety and compliance.
Patient data and medical images are processed on-site for quicker diagnoses and treatment, while
minimizing risks and ensuring data privacy.