Ankur Mehrotra

Unlock the full potential of AI model customization with Amazon SageMaker AI. This session explores SageMaker AI's comprehensive model development tools, highlighting how it caters to any use case - from hands-on compute control to fully managed solutions.

As companies are increasingly adopting ML in mainstream enterprise applications, they require control over and visibility into their ML projects, also known as ML governance. Amazon SageMaker is launching new capabilities to help customers define user permissions and document model information and gain insights into model performance from a single pane of glass.

Learn about the new features of Amazon Personalize and how Discovery+ tailors content and product recommendations to create unique user experiences. Personalizing content in media and entertainment applications is key to driving engagement and fighting surf fatigue.