Category: HAQM Bedrock Prompt Flows

By leveraging the generative AI capabilities and tooling of HAQM Bedrock, you can create an intelligent nerve center that connects diverse data sources, converts data into actionable insights, and creates a comprehensive plan to mitigate supply chain risks. This post walks through how HAQM Bedrock Flows connects your business systems, monitors medical device shortages, and provides mitigation strategies based on knowledge from HAQM Bedrock Knowledge Bases or data stored in HAQM S3 directly. You’ll learn how to create a system that stays ahead of supply chain risks.

In this post, we review how Aetion’s Smart Subgroups Interpreter enables users to interact with Smart Subgroups using natural language queries. Powered by HAQM Bedrock and Anthropic’s Claude 3 large language models (LLMs), the interpreter responds to user questions expressed in conversational language about patient subgroups and provides insights to generate further hypotheses and evidence.

Today, we’re excited to announce multi-turn conversation with an agent node (preview), a powerful new capability in Flows. This new capability enhances the agent node functionality, enabling dynamic, back-and-forth conversations between users and flows, similar to a natural dialogue in a flow execution.