Amit Modi

Amazon SageMaker AI provides purpose-built capabilities that create a reliable path to production for customized AI models that power your agentic AI applications.

Are you looking for best practices to operate generative AI and agentic workflows at scale? Learn how to leverage Amazon SageMaker AI to accelerate model and AI agent development responsibly with comprehensive governance, observability, and control for reliable, cost-efficient systems in production.

Amazon SageMaker provides purpose-built tools to create a reliable path to production for both machine learning and generative AI workflows. SageMaker MLOps helps you automate and standardize processes across generative AI and ML lifecycles.

Most data that is captured has geospatial information; however, only a small fraction of it is used for ML because it can be challenging to access and acquire high-quality data sources, prepare massive datasets for training, or acquire specialized tools to visualize data.

A majority of all data captured has geospatial information; however, only a small fraction of it is used for ML because it can be challenging to access and acquire high-quality data sources, prepare massive datasets for training, or acquire specialized tools to visualize data. In this session, learn how with Amazon SageMaker geospatial capabilities, you can access readily available geospatial...