Seattle AI Workshop Recap: AWS Quick and SnapLogic MCP Highlights
Seattle AI Workshop Recap: AWS Quick + SnapLogic MCP AWS and SnapLogic recently co-hosted an AI workshop in Seattle exploring enterprise AI adoption through Amazon Quick and SnapLogic's MCP capabilities. Key Highlights:
Ravi Krishnan (SnapLogic) addressed the "Walled Garden" challenge: how AI can securely access enterprise data at scale with real-life customer examples
Vishnu Elangovan (AWS) demoed Amazon Quick's unified workspace for research, BI, and automation
Explored how Model Context Protocol (MCP) enables standardized AI-to-enterprise tool integration
Hands-On Lab: Participants built a Customer 360 use case, deploying an MCP server connecting ServiceNow, Salesforce, and Snowflake data, then using Amazon Quick to generate real-time insights across all sources. All of this in less than 20min! Participant Feedback:
Ravi Teja (T-Mobile): [feedback here]
Shreya Goyal (T-Mobile): [feedback here]
Sriram Krishna (Quadrant): [feedback here]
Great collaboration with attendees from Prime Therapeutics, Boeing, Expedia, Blue Origin, Maersk, Smartsheet, PACCAR, and more. Excited about what MCP unlocks for enterprise AI! š Praneal