Sireesha Muppala

More ML models are being deployed on edge devices such as robots and smart cameras. In this chalk talk, dive into building computer vision (CV) applications at the edge for predictive maintenance, industrial IoT, and more.

In this session, explore how state-of-the-art algorithms built into Amazon SageMaker are used to detect declines in machine learning (ML) model quality. One of the big factors that can affect the accuracy of models is the difference in the data used to generate predictions and what was used for training.

In this workshop, we dive into the deploy module of Amazon SageMaker. Amazon SageMaker offers one-click deployment onto auto-scaling Amazon ML instances across multiple Availability Zones.