Sean Morgan

Amazon SageMaker offers fully managed SageMaker Studio notebooks and notebook instances for data exploration and building ML models. This session introduces next-generation SageMaker notebooks to help ML practitioners scale end-to-end ML development more efficiently.

ML teams use multiple tools to do their jobs, including email and chat to coordinate with teammates, service dashboards, or third-party tools to monitor budgets. They also use notebooks to work on model development.

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.