Isaac Privitera

Learn best practices for the full agent lifecycle on Amazon Bedrock AgentCore. Ship agents to production with microVM isolation, persistent memory, and any framework.

Discover how to deploy AI agents that act intelligently and responsibly in production environments. This session explores designing agents with Amazon Bedrock AgentCore and Strands that adhere to SOPs and business requirements while incorporating human oversight.

In this workshop, learn to build an advanced Retrieval Augmented Generation (RAG) solution using Amazon Bedrock. Explore techniques for integrating diverse data sources, including structured databases and unstructured documents, to augment your virtual assistant's knowledge base.

Join this builders’ session to build a conversational chat assistant using Amazon Bedrock. Explore how to use the Retrieval Augmented Generation (RAG) architecture with Amazon Bedrock and Amazon OpenSearch Service to quickly build a secure chat assistant that uses the most up-to-date information to converse with users.

As lidar sensors become more accessible and cost-effective, customers increasingly use point cloud data in new spaces like autonomous driving, robotics, and augmented reality. The growing availability of lidar sensors has increased use of point cloud data for ML tasks like 3D object detection, segmentation, object synthesis, and reconstruction.