Case Study

Lutron RadioRA ML Edge Compute

Lutron RadioRA ML Edge Compute

Pages 4 Pages

A cloud-based solution by Source Allies for Lutron's lighting control reduced energy costs by 20% and increased team efficiency tenfold. Utilizing AWS SageMaker, the solution predicts lighting needs, enhancing reliability and development speed. Next steps involve automating model re-training and exploring additional models for improved accuracy, aligning with Source Allies' commitment to efficiency and sustainability.

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