Smart Action in Real-time: Building Agentic AI Systems Powered by AWS and Confluent Streaming

Agentic AI systems thrive on the combination of real-time data intelligence and autonomous action capabilities. This session demonstrates how to integrate Confluent's scalable data streaming platform with Amazon Bedrock and SageMaker to build responsive, intelligent systems that can both reason and act.

We'll explore architectural patterns for ingesting, processing, and serving data streams at scale with end-to-end governance, highlighting how Confluent's pre-built connectors, in-stream processing, and low-latency inference capabilities effectively contextualize foundation models. We'll examine Agentic AI through the lens of event-driven architecture with well-orchestrated AI microservices for maximum effectiveness.

Attendees will learn practical approaches to create GenAI applications with enriched data streams, ensuring accurate and responsive model performance. We'll demonstrate how to optimize agentic workflows by leveraging Bedrock Agents, SageMaker, and MCP Servers. Leave with an architectural blueprint and implementation strategies to help your organization reduce AI infrastructure costs and latency while enabling real-time context awareness, system flexibility, and exceptional customer experience.