When time is of the essence in our federal government, AI can power real-time insights at the edge where data is collected. However, challenges persist among those in the field who are unable to reduce large model architectures to run on smaller devices, ensure security, bridge skills gaps, and enable orchestration back to a centralized solution for monitoring and retraining as needed.
View this demo of AI-Powered processing at the edge and learn how you can get started running AI models on thousands of devices from a central location using Modzy Edge. In this webinar, we demonstrated how to run a computer vision model on an NVIDIA Jetson Nano to process video in real-time. We also share an example of an ML model analyzing data from atmospheric sensors.
Stream this webinar now and learn how to integrate AI-powered processing for your edge devices by:
- Connecting remote edge devices to an instance of Modzy for central monitoring
- Deploying models to both CPUs and GPUs
- Processing live data streams at the edge