Edge native enables a cloud-like experience at the edge and allows for a smooth transition as the pendulum swings back towards the edge from the cloud. The main trend is to combine different verticals into a platform with horizontal solutions that can work across verticals.
- Edge native allows for a cloud-like experience at the edge and a smooth transition from the cloud to the edge
- Federated learning is a technique used for machine learning at the edge that preserves privacy and allows for local learning
- Event-driven display can be used for digital signage, video surveillance, and other applications
- Great Bear is a foundational infrastructure that can be used to build a scalable and robust system
- Machine learning workloads may need to be adjusted for the edge, such as shrinking down models or using Federated learning
- Aji is an example of an AI model that can be deployed at the edge, but may need to be adjusted for device size and speed