Overview
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Discover how Jefferies Equities deployed an enterprise-grade generative AI trading assistant using Amazon Bedrock's Strands Agents framework in this 16-minute lightning talk from AWS re:Invent 2025. Examine the technical architecture that leverages the Claude foundation model, Model Context Protocol (MCP) tools, and Amazon Bedrock Knowledge Bases to process real-time trade and transaction data. Learn about the serverless event-driven architecture designed to achieve lower latency responses at scale, and explore the implementation of semantic caching, knowledge bases, and prompt engineering techniques that enable autonomous data analysis capabilities. Gain actionable architectural patterns and best practices for deploying enterprise-grade agentic AI solutions in financial trading environments.
Syllabus
AWS re:Invent 2025 - Trading innovation: Jefferies' AI assistant on Amazon Bedrock (IND3315)
Taught by
AWS Events