Large conferences produce vast information, from numerous sessions to updated schedules. While basic AI can handle simple queries, they often lack personalized guidance, crucial for navigating complex events. Transitioning AI prototypes to production requires significant infrastructure, especially for large audiences. This guide shows how to deploy a robust event assistant using Amazon Bedrock AgentCore components. By harnessing Amazon Bedrock Memory for conversation context, Identity for secure authentication, and Runtime for serverless scaling, you can create an intelligent companion that evolves based on attendee preferences. This assistant retrieves and processes event data efficiently using Amazon Bedrock Knowledge Bases, delivering tailored recommendations, thus enhancing the user experience. You’ll learn how to manage user interactions seamlessly while keeping data secure. Finally, this solution allows for quick implementation, providing a scalable, enterprise-ready event assistant capable of serving thousands of attendees efficiently. Explore further by accessing the full implementation on GitHub to enhance your event operations.
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