Transform your edge computing strategy with machine learning! In this video, I demonstrate how AWS IoT Greengrass enables you to run powerful ML inference directly on edge devices—reducing latency, ensuring operational continuity, and dramatically cutting bandwidth costs.
Watch as I explore:
• Machine Learning at the edge fundamentals and the cross-platform ONNX runtime
• Real-world use cases where edge ML delivers immediate ROI
• Complete architecture walkthrough for implementing ML inference at the edge
• Live demonstration of ML models running on edge devices
• How Generative AI is expanding possibilities at the edge
• Implementation considerations and best practices for your own deployments
Whether you’re in manufacturing facing costly equipment failures, running quality inspection systems that need millisecond responses, or managing remote operations with limited connectivity, this video shows you how to implement intelligent edge solutions that operate reliably even when disconnected from the cloud.
Ready to save thousands in operational costs while improving reliability and performance? Watch now to see how AWS IoT Greengrass makes it possible!
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