Accelerate AI Workflows in the Field with Edge Solutions
What is an Edge AI Computer?
Edge AI brings the power of AI from the data center to edge computers. This shift promises to enable real-time analysis and action by bringing analysis closer to the source and eliminating slow data roundtrips. After algorithms have been trained on deep learning servers, these algorithms can be deployed to edge devices such as sensors, cameras, or microphones to make logic based decisions quickly. This is important to reduce response time as every millisecond can make a difference.
Important Features for Edge AI or AIoT
Power Efficient
Lower energy costs with energy efficient processors with built in AI capabilities to still perform as needed instead of servers.
Instant Analytics
Process data locally and reduce the time to send data between networks that may fail.
Scalability
Easily deploy new edge devices as infrastructure needs grows.
Privacy
Reduce the chance of data leaks by prioritizing important processes at the point of data collection.
Use Cases
Healthcare
Edge computing combats latency through locally based data processing so key patient data can be instantly routed to healthcare professionals for real-time analysis of health information.
Manufacturing
Edge computing assists in coordinating automation, modernizing demand forecasting, supply chain and predictive maintenance.
Retail
Edge computing can positively impact retail operations include: facilitate retail and online shopper engagement.
Security and Surveillance
Edge computing offers ultimate in security, using local data processing to keep sensitive information away from the potential exposures posed by cloud computing.
