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DTSTAMP:20261020T151709Z
DTSTART:20261105T201500Z
DTEND:20261105T203500Z
SUMMARY:Real-Time Context for AI Agents: Answering with Live Data on Amazon
  Bedrock AgentCore and Confluent Cloud
LOCATION:Innovation Theater
DESCRIPTION:Mithun Mallick\, Sumesh Raghavan\n\nFoundation models reason we
 ll\, but they don't know what changed in your business a minute ago. When 
 agents can only reach data that isn't real-time\, their answers fall behin
 d. This session shows how to connect an AI agent on Amazon Bedrock AgentCo
 re to the Confluent Cloud Real-Time Context Engine (RTCE). RTCE serves liv
 e data straight from your Kafka topics to the agent over the Model Context
  Protocol (MCP)\, so it can reason over real-time context and act on what 
 is true right now. Every call is read-only\, schema-enforced\, and audit-l
 ogged. You learn what Confluent Cloud is and how to get it on AWS Marketpl
 ace\, where Amazon Bedrock AgentCore fits in the AWS AI stack\, and how to
  connect the two\, with a live demo to close. By attending this session\, 
 your contact information may be shared with the sponsor for relevant follo
 w up for this event only.
URL:https://sf26.rmoff.net/s/real-time-context-for-ai-agents-answering-with
 -live-data-on-220
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