Voice-Driven SQL Server Supply Chain Intelligence: Build Speech-to-Speech AI Agents with AWS & MCP

Discover how to build intelligent voice-driven supply chain tracking systems using Amazon Nova Sonic's speech-to-speech capabilities and Model Context Protocol (MCP) servers connected to SQL Server. This hands-on session demonstrates creating AI agents that understand natural language queries like "Where's my driver?" and autonomously query live SQL Server databases containing truck locations, inventory, and warehouse data. Learn to architect voice-enabled agentic systems that handle data retrieval mechanisms, with SQL Server as your data foundation. Walk away with practical patterns for integrating speech AI with SQL Server, implementing MCP servers for secure database access, and building conversational interfaces for operational intelligence.

Speech-to-SQL architecture – Implement Amazon Nova Sonic for voice-driven queries against SQL Server logistics databases

MCP server patterns – Build secure Model Context Protocol servers for AI agent access to SQL Server geolocation data

Conversational supply chain ops – Deploy natural language interfaces for real-time data; i.e. in the logistics space